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  Subjects -> SOCIAL SCIENCES (Total: 1676 journals)
    - BIRTH CONTROL (22 journals)
    - CHILDREN AND YOUTH (252 journals)
    - FOLKLORE (30 journals)
    - MATRIMONY (16 journals)
    - MEN'S INTERESTS (16 journals)
    - MEN'S STUDIES (89 journals)
    - SEXUALITY (53 journals)
    - SOCIAL SCIENCES (982 journals)
    - WOMEN'S INTERESTS (44 journals)
    - WOMEN'S STUDIES (172 journals)

SOCIAL SCIENCES (982 journals)            First | 1 2 3 4 5     

Showing 401 - 136 of 136 Journals sorted alphabetically
International Journal of Canadian Studies / Revue internationale d’études canadiennes     Full-text available via subscription   (Followers: 1)
International Journal of Conflict and Violence     Open Access   (Followers: 24)
International Journal of Cultural and Social Studies (IntJCSS)     Open Access   (Followers: 1)
International Journal of Cultural Policy     Hybrid Journal   (Followers: 11)
International Journal of Disaster Risk Reduction     Hybrid Journal   (Followers: 20)
International Journal of Growth and Development     Open Access   (Followers: 1)
International Journal of Iberian Studies     Hybrid Journal   (Followers: 5)
International Journal of Information, Diversity, & Inclusion     Open Access  
International Journal of Innovative Research and Scientific Studies     Open Access   (Followers: 2)
International Journal of Innovative Research in Social and Natural Sciences     Open Access   (Followers: 1)
International Journal of Integrated Education and Development     Open Access  
International Journal of Intercultural Relations     Hybrid Journal   (Followers: 14)
International Journal of Knowledge-Based Development     Hybrid Journal   (Followers: 5)
International Journal of Korean Humanities and Social Sciences     Open Access  
International Journal of Language and Culture     Hybrid Journal   (Followers: 3)
International Journal of Management and Social Sciences     Full-text available via subscription   (Followers: 6)
International Journal of Management, Economics and Social Sciences     Open Access   (Followers: 15)
International Journal of Multidisciplinary Studies     Open Access  
International Journal of Punishment and Sentencing, The     Full-text available via subscription   (Followers: 9)
International Journal of Qualitative Methods     Open Access   (Followers: 28)
International Journal of Research in Business and Social Science     Open Access   (Followers: 8)
International Journal of Social and Allied Research     Full-text available via subscription   (Followers: 2)
International Journal of Social and Humanistic Computing     Hybrid Journal   (Followers: 1)
International Journal of Social And Humanities Sciences     Open Access  
International Journal of Social and Organizational Dynamics in IT     Full-text available via subscription   (Followers: 3)
International Journal of Social Research Methodology     Hybrid Journal   (Followers: 71)
International Journal of Social Science Research     Open Access   (Followers: 15)
International Journal of Social Science Studies     Open Access   (Followers: 16)
International Journal of Social Sciences and Education Research     Open Access  
International Journal of Social Sciences and Humanity Studies     Open Access  
International Journal of Synergy and Research     Open Access  
International Journal of the Sociology of Leisure     Hybrid Journal  
International Journal of Undergraduate Research and Creative Activities     Open Access   (Followers: 2)
International Journal Pedagogy of Social Studies     Open Access  
International Quarterly for Asian Studies     Open Access  
International Review of Qualitative Research     Full-text available via subscription   (Followers: 32)
International Review of Social Research     Open Access   (Followers: 3)
International Scholarly Research Notices     Open Access   (Followers: 220)
International Social Science Journal     Hybrid Journal   (Followers: 23)
International Studies. Interdisciplinary Political and Cultural Journal     Open Access   (Followers: 9)
Internationale Revue Fur Soziale Sicherheit     Hybrid Journal   (Followers: 1)
InterSciencePlace     Open Access   (Followers: 1)
Investigación Valdizana     Open Access  
Investigación y Desarrollo     Open Access   (Followers: 1)
Investigaciones Geográficas (Esp)     Open Access  
Irish Journal of Applied Social Studies     Open Access   (Followers: 5)
Issues in Social Science     Open Access   (Followers: 5)
Ithaca : Viaggio nella Scienza     Open Access  
IULC Working Papers     Open Access  
Ius et Praxis     Open Access  
Izvestia Ural Federal University Journal. Series 3. Social and Political Sciences     Open Access  
J : Multidisciplinary Scientific Journal     Open Access  
JICSA : Journal of Islamic Civilization in Southeast Asia     Open Access  
Journal for New Generation Sciences     Open Access   (Followers: 4)
Journal for Semitics     Full-text available via subscription   (Followers: 8)
Journal of Addiction & Prevention     Open Access   (Followers: 1)
Journal of Advanced Academic Research     Open Access   (Followers: 3)
Journal of Agriculture and Social Research (JASR)     Open Access   (Followers: 5)
Journal of Agriculture, Forestry and the Social Sciences     Full-text available via subscription   (Followers: 5)
Journal of Applied Social Psychology     Hybrid Journal   (Followers: 55)
Journal of Applied Social Science     Hybrid Journal   (Followers: 17)
Journal of Arabic and Islamic Studies     Open Access   (Followers: 1)
Journal of Arts and Social Sciences     Open Access  
Journal of ASIAN Behavioural Studies     Open Access   (Followers: 4)
Journal of Burirum Rajabhat University     Open Access  
Journal of Business and Social Sciences     Open Access  
Journal of Business and Social Sciences Research     Open Access  
Journal of Cognition and Culture     Hybrid Journal   (Followers: 17)
Journal of Community Development and Life Quality     Open Access  
Journal of Comparative Social Welfare     Hybrid Journal   (Followers: 18)
Journal of Computational Social Science     Hybrid Journal  
Journal of Contemporary African Studies     Hybrid Journal   (Followers: 4)
Journal of Critical Race inquiry     Open Access   (Followers: 10)
Journal of Cultural Economy     Hybrid Journal   (Followers: 10)
Journal of Cultural Heritage     Full-text available via subscription   (Followers: 16)
Journal of Development Effectiveness     Hybrid Journal   (Followers: 6)
Journal of Economy Culture and Society     Open Access  
Journal of Educational Social Studies     Open Access   (Followers: 9)
Journal of Family & Consumer Sciences     Full-text available via subscription   (Followers: 1)
Journal of Family Studies     Hybrid Journal   (Followers: 12)
Journal of Geography, Politics and Society     Open Access  
Journal of Globalization and Development     Hybrid Journal   (Followers: 12)
Journal of Graduate Research     Open Access  
Journal of Graduate School Sakon Nakhon Rajabhat University     Open Access  
Journal of Graduate Studies in Northern Rajabhat Universities     Open Access  
Journal of Graduate Studies Valaya Alongkorn Rajabhat University     Open Access  
Journal of Human Security     Open Access   (Followers: 10)
Journal of Humanities and Social Sciences     Open Access  
Journal of Humanities and Social Sciences Surin Rajabhat University     Open Access  
Journal of Humanities and Social Sciences, Rajapruk University     Open Access  
Journal of Humanity     Open Access   (Followers: 5)
Journal of Ilahiyat Researches     Open Access  
Journal of Indian Ocean World Studies     Open Access  
Journal of Interdisciplinary Gender Studies: JIGS     Full-text available via subscription   (Followers: 17)
Journal of International and Comparative Social Policy     Hybrid Journal  
Journal of Korean Studies     Full-text available via subscription   (Followers: 12)
Journal of Language and Social Psychology     Hybrid Journal   (Followers: 13)
Journal of Markets & Morality     Partially Free  
Journal of Mediterranean Knowledge     Open Access   (Followers: 7)
Journal of Men, Masculinities and Spirituality     Full-text available via subscription   (Followers: 13)
Journal of Methods and Measurement in the Social Sciences     Open Access   (Followers: 4)
Journal of Migration and Refugee Issues, The     Full-text available via subscription   (Followers: 35)
Journal of Multicultural Affairs     Open Access  
Journal of Organisational Transformation & Social Change     Hybrid Journal   (Followers: 7)
Journal of Pan African Studies     Open Access   (Followers: 3)
Journal of Personality and Social Psychology     Full-text available via subscription   (Followers: 332, SJR: 4.302, CiteScore: 6)
Journal of Policy Practice     Hybrid Journal   (Followers: 5)
Journal of Poverty and Social Justice     Full-text available via subscription   (Followers: 29)
Journal of Progressive Research in Social Sciences     Open Access   (Followers: 5)
Journal of Purdue Undergraduate Research     Open Access   (Followers: 1)
Journal of Relationships Research     Hybrid Journal   (Followers: 5)
Journal of Religion & Spirituality in Social Work: Social Thought     Hybrid Journal   (Followers: 11)
Journal of Research in National Development     Full-text available via subscription  
Journal of Responsible Innovation     Hybrid Journal   (Followers: 7)
Journal of Social Change     Open Access   (Followers: 7)
Journal of Social Development in Africa     Full-text available via subscription   (Followers: 6)
Journal of Social Distress and the Homeless     Hybrid Journal   (Followers: 6)
Journal of Social Intervention: Theory and Practice     Open Access   (Followers: 1)
Journal of Social Issues     Hybrid Journal   (Followers: 18)
Journal of Social Philosophy     Hybrid Journal   (Followers: 25)
Journal of Social Science Education : JSSE     Open Access  
Journal of Social Science Studies     Open Access   (Followers: 13)
Journal of Social Sciences     Open Access   (Followers: 16)
Journal of Social Sciences and Humanities Review     Open Access  
Journal of Social Structure     Open Access   (Followers: 1)
Journal of Social Studies Research     Full-text available via subscription   (Followers: 16)
Journal of Studies in Social Sciences     Open Access   (Followers: 6)
Journal of Technology in Human Services     Hybrid Journal   (Followers: 4)
Journal of the Bangladesh Association of Young Researchers     Open Access   (Followers: 1)
Journal of the Polynesian Society     Full-text available via subscription   (Followers: 7)
Journal of the Society for Social Work and Research     Full-text available via subscription   (Followers: 11)
Journal of the University of Ruhuna     Open Access   (Followers: 1)
Journal of Transnational American Studies     Open Access   (Followers: 3)
Journal of Trust Management     Open Access   (Followers: 4)
Journal Sampurasun : Interdisciplinary Studies for Cultural Heritage     Open Access   (Followers: 1)
Jurnal Abdimas     Open Access  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ilmiah Ilmu Sosial     Open Access   (Followers: 1)
Jurnal Ilmu Sosial dan Humaniora     Open Access  
Jurnal Kawistara     Open Access  
Jurnal Lakon     Open Access  
Jurnal Masyarakat dan Budaya     Open Access  
Jurnal Pendidikan Ilmu Sosial     Open Access   (Followers: 1)
Jurnal Sosial Humaniora     Open Access   (Followers: 2)
Jurnal Teori dan Praksis Pembelajaran IPS     Open Access  
Jurnal Terapan Abdimas     Open Access  
Just Policy: A Journal of Australian Social Policy     Full-text available via subscription   (Followers: 16)
Kaleidoscope     Open Access  
Kasetsart Journal of Social Sciences     Open Access   (Followers: 2)
Kervan. International Journal of Afro-Asiatic Studies     Open Access  
Kimün. Revista Interdisciplinaria de Formación Docente     Open Access  
Kırklareli Üniversitesi Sosyal Bilimler Dergisi     Open Access  
Knowledge Management for Development Journal     Hybrid Journal   (Followers: 10)
Kontext : Zeitschrift für Systemische Therapie und Familientherapie     Hybrid Journal  
Korea : Politik, Wirtschaft, Gesellschaft     Open Access  
Korean Social Science Journal     Hybrid Journal   (Followers: 2)
Kotuitui : New Zealand Journal of Social Sciences Online     Open Access   (Followers: 20)
Kulttuurintutkimus     Open Access  
Kulturwissenschaftliche Zeitschrift     Open Access   (Followers: 2)
KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie     Hybrid Journal   (Followers: 17)
L'Homme. Europäische Zeitschrift für Feministische Geschichtswissenschaft     Hybrid Journal   (Followers: 4)
L'Ordinaire des Amériques     Open Access  
La Tercera Orilla     Open Access  
Labyrinthe     Open Access  
Lambda Nordica     Open Access  
Language and Intercultural Communication     Hybrid Journal   (Followers: 23)
Language Resources and Evaluation     Hybrid Journal   (Followers: 5)
Lavboratorio : Revista de Estudios sobre Cambio Estructural y Desigualdad Social.     Open Access  
Lectio Socialis     Open Access  
Les Cahiers des dix     Full-text available via subscription   (Followers: 1)
Les Cahiers d’EMAM     Open Access   (Followers: 1)
Letras Verdes. Revista Latinoamericana de Estudios Socioambientales     Open Access   (Followers: 2)
Letters on Evolutionary Behavioral Science     Open Access  
Lex Social : Revista de Derechos Sociales     Open Access   (Followers: 1)
Lilith: A Feminist History Journal     Full-text available via subscription   (Followers: 4)
Liminar. Estudios Sociales y Humanisticos     Open Access   (Followers: 3)
Literacy Learning: The Middle Years     Full-text available via subscription   (Followers: 6)
Local-Global: Identity, Security, Community     Full-text available via subscription   (Followers: 4)
Loisir et Société / Society and Leisure     Hybrid Journal   (Followers: 2)
Lucero     Open Access  
Lúdicamente     Open Access   (Followers: 1)
Lutas Sociais     Open Access   (Followers: 1)
Lwati : A Journal of Contemporary Research     Full-text available via subscription   (Followers: 2)
Macedon Digest, The     Full-text available via subscription   (Followers: 1)
Maine Policy Review     Open Access   (Followers: 2)
Majalah Sainstekes / Sainstekes Magazine     Open Access  
Maskana     Open Access  
Mathématiques et sciences humaines     Open Access   (Followers: 7)
Mayéutica Revista Científica de Humanidades y Artes     Open Access  
McNair Scholars Research Journal     Open Access  
McNair Scholars Research Journal     Open Access  
Meanjin     Full-text available via subscription   (Followers: 1)
Meanjin     Full-text available via subscription   (Followers: 3)
Meanjin Papers     Full-text available via subscription   (Followers: 2)
Measurement Instruments for the Social Sciences     Open Access  
Media Information Australia     Full-text available via subscription  
Media International Australia     Hybrid Journal   (Followers: 2)
Media International Australia     Full-text available via subscription   (Followers: 1)
Melbourne Journal of Politics     Full-text available via subscription   (Followers: 1)
Mémoire(s), identité(s), marginalité(s) dans le monde occidental contemporain     Open Access   (Followers: 1)

  First | 1 2 3 4 5     

Similar Journals
Journal Cover
Journal of Computational Social Science
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2432-2717 - ISSN (Online) 2432-2725
Published by Springer-Verlag Homepage  [2573 journals]
  • Journalists on Twitter: self-branding, audiences, and involvement of bots
    • Abstract: Abstract Spread of news and misinformation on social networks have been a topic of extensive study in the recent years. There are concerns about the possibility of ongoing information operations, which has lead to studies on a wide scope including the truthfulness of content and the participation of social bots in the process. Studying how online entities of journalists is embedded in the Twitter network is crucial for understanding the core of this problem, since they hold a valuable broadcast platform in informing the public. In this work, we collected over 290,000 accounts that self-identify as a journalist or a reporter and analyzed their professional and follower networks on the platform. Twitter follower composition of journalists reflect their potential audiences and who disseminates their messages further on the network. It is essential for a journalist to reach a broad, organic readership as opposed to a following of bots and bot-assisted accounts. We looked at the followers of journalists for an analysis of the composition and evolution of their audiences, particularly looking out for social bot involvement. We found the trends for verified and non-verified accounts to be opposite of each other; among verified accounts bot follower tend to target more popular ones, whereas unverified accounts have a higher fraction of bot followers early on when they have fewer followers, possibly indicating attempts at boosting apparent popularity artificially. Outcomes of this research emphasize the importance of editorial oversight and that the prestige of journalists should not be confused with their apparent popularity online.
      PubDate: 2019-09-25
       
  • Different patterns of social closeness observed in mobile phone
           communication
    • Abstract: Abstract We analyze a large-scale mobile phone call dataset containing information on the age, gender, and billing locality of users to get insight into social closeness in pairs of individuals of similar age. We show that in addition to using the demographic information, the ranking of contacts by their call frequency in egocentric networks is crucial to characterize the different communication patterns. We find that mutually top-ranked opposite-gender pairs show the highest levels of call frequency and daily regularity, which is consistent with the behavior of real-life romantic partners. At somewhat lower level of call frequency and daily regularity come the mutually top-ranked same-gender pairs, while the lowest call frequency and daily regularity are observed for mutually non-top-ranked pairs. We have also observed that older pairs tend to call less frequently and less regularly than younger pairs, while the average call durations exhibit a more complex dependence on age. We expect that a more detailed analysis can help us better characterize the nature of relationships between pairs of individuals and distinguish between various types of relations, such as siblings, friends, and romantic partners.
      PubDate: 2019-08-07
       
  • The fully visible Boltzmann machine and the Senate of the 45th Australian
           Parliament in 2016
    • Abstract: Abstract After the 2016 double dissolution election, the 45th Australian Parliament was formed. At the time of its swearing in, the Senate of the 45th Australian Parliament consisted of nine political parties, the largest number in the history of the Australian Parliament. Due to the breadth of the political spectrum that the Senate represented, the situation presented an interesting opportunity for the study of political interactions in the Australian context. Using publicly available Senate voting data in 2016, we quantitatively analyzed two aspects of the Senate. First, we analyzed the degree to which each of the non-government parties of the Senate is pro- or anti-government. Second, we analyzed the degree to which the votes of each of the non-government Senate parties are in concordance or discordance with one another. We utilized the fully visible Boltzmann machine (FVBM) model to conduct these analyses. The FVBM is an artificial neural network that can be viewed as a multivariate generalization of the Bernoulli distribution. Via a maximum pseudolikelihood estimation approach, we conducted parameter estimation and constructed hypothesis tests that revealed the interaction structures within the Australian Senate. The conclusions that we drew are well supported by external sources of information.
      PubDate: 2019-08-05
       
  • A computational algorithm to analyze unobserved sequential reactions of
           the central banks: inference on complex lead–lag relationship in
           evolution of policy stances
    • Abstract: Abstract Central banks of different countries are some of the largest economic players at the global scale and they are not static in their monetary policy stances. They change their policies substantially over time in response to idiosyncratic or global factors affecting the economies. A very prominent and empirically documented feature arising out of central banks’ actions is that the relative importance assigned to inflation vis-a-vis output fluctuations evolves substantially over time. We analyze the leading and lagging behavior of central banks of various countries in terms of adopting low inflationary environment vis-a-vis high weight assigned to counteract output fluctuations, in a completely data-driven way. To this end, we propose a new methodology by combining complex Hilbert principle component analysis with state–space models in the form of Kalman filter. The CHPCA mechanism is non-parametric and provides a clean identification of leading and lagging behavior in terms of phase differences of time series in the complex plane. We show that the methodology is useful to characterize the extent of coordination (or lack thereof), of monetary policy stances taken by central banks in a cross-section of developed and developing countries. In particular, the analysis suggests that US Fed led other countries central banks in the pre-crisis period in terms of pursuing low-inflationary regimes.
      PubDate: 2019-08-03
       
  • A belief in rewards accelerates cooperation on consumer-generated media
    • Abstract: Abstract Consumer-Generated Media (CGM) are useful for sharing information, but information does not come without cost. Incentives to discourage free riding (receiving information, but not providing it) are, therefore, offered to CGM users. The public goods game framework is a strong tool for analyzing and understanding CGM and users’ information behaviors. Although it is well known that rewards are needed for maintaining cooperation in CGM, the existing models hypothesize three unnatural hypotheses: the linkage hypothesis, unlimited meta-rewarder, and sanction without expectation. In this study, we update the meta-reward model to identify a realistic situation through which to achieve a cooperation on CGM. Our model reveals that restricted public goods games cannot provide cooperative regimes when players are myopic and never have any strategies on their actions. Cooperative regimes emerge if players that provide the first-order rewards know whether cooperative players will give the second-order rewards to the first-order rewarders. In the context of CGM, active posting of articles occurs if potential commenters/responders can ascertain that the user posting the article will respond to their comments.
      PubDate: 2019-07-29
       
  • You are what you eat
    • Abstract: Abstract Food preferences not only originate from a person’s dietary habits, but also reflect personal values and consumer awareness. This study addresses “food identity” or the relationship between food preferences and personal attributes based on the concept of “food left-wing” (e.g., vegetarians) and “food right-wing” (e.g., fast-food lovers) by analyzing social data using information entropy and networks. The results show that food identity extends beyond the domain of food: The food left-wing has a strong interest in socio-environmental issues, while the food right-wing has a higher interest in large-scale shopping malls and politically conservative issues. Furthermore, the social interactions of food left-wing and right-wing factions show segregated structures, indicating different information consumption patterns. These findings suggest that food identity may be applicable as a proxy for personal attributes and offer insights into potential buying patterns.
      PubDate: 2019-07-01
       
  • Pairwise similarity of jihadist groups in target and weapon transitions
    • Abstract: Abstract Tactical decisions made by jihadist groups can have extremely negative impacts on societies. Studying the characteristics of their attacks over time is therefore crucial to extract relevant knowledge on their operational choices. In light of this, the present study employs transition networks to construct trails and analyze the behavioral patterns of the world’s five most active jihadist groups using open access data on terror attacks from 2001 to 2016. Within this frame, we propose Normalized Transition Similarity (NTS), a coefficient that captures groups’ pairwise similarity in terms of transitions between different temporally ordered sequences of states. For each group, these states respectively map attacked targets, employed weapons, and targets and weapons combined together with respect to the entire sequence of attacks. Analyses show a degree of stability of results among a number of pairs of groups across all trails. With this regard, Al Qaeda and Al Shabaab exhibit the highest NTS scores, while the Taliban and Al Qaeda prove to be the most different groups overall. Finally, potential policy implications and future work directions are also discussed.
      PubDate: 2019-07-01
       
  • Gerrymandering and computational redistricting
    • Abstract: Abstract Partisan gerrymandering poses a threat to democracy. Moreover, the complexity of the districting task may exceed human capacities. One potential solution is using computational models to automate the districting process by optimizing objective and open criteria, such as how spatially compact districts are. We formulated one such model that minimised pairwise distance between voters within a district. Using US Census Bureau data, we confirmed our prediction that the difference in compactness between the computed and actual districts would be greatest for states that are large and, therefore, difficult for humans to properly district given their limited capacities. The computed solutions highlighted differences in how humans and machines solve this task with machine solutions more fully optimised and displaying emergent properties not evident in human solutions. These results suggest a division of labour in which humans debate and formulate districting criteria whereas machines optimise the criteria to draw the district boundaries. We discuss how criteria can be expanded beyond notions of compactness to include other factors, such as respecting municipal boundaries, historic communities, and relevant legislation.
      PubDate: 2019-07-01
       
  • Personal stories matter: topic evolution and popularity among pro- and
           anti-vaccine online articles
    • Abstract: Abstract People tend to read health articles that have gone viral online. A large portion of online popular vaccine articles are against vaccines, which lead to increased exemption rates and recent outbreaks of vaccine-preventable diseases. Since anti-vaccine articles’ themes and persuasive strategies change fast, their effects on viewers’ behaviors may change over time. This study examined how pro- and anti-vaccine topics and public interests have changed from 2007 to 2017. Computational methods (e.g., topic modeling) were used to analyze 923 online vaccine articles and over 4 million shares, reactions, and comments that they have received on social media. Pro-vaccine messages (PVMs) that used personal stories received the most heated discussion online and pure scientific knowledge received the least attention. PVMs that present vaccine disagreements and limitations were not popular. These findings indicate the importance of narratives and directly attacking opposing arguments in health message design. Anti-vaccine messages (AVMs) that discussed flu shots and government conspiracy received the most attention. Since April 2015, even though more PVMs appeared online, AVMs, especially those about vaccine damage, were increasingly more popular than PVMs. Some social events and disease outbreaks might contribute to the popularity of AVMs. Newly emerged anti-vaccine topics (e.g., false rumors of CDC conspiracy) should be noted. This study shows that certain topics can be more popular online and can potentially reach a larger population. It also reveals the evolution of vaccine-related topics and public’s interest. Findings can help to design effective interventions and develop programs to track and combat misinformation.
      PubDate: 2019-07-01
       
  • Analysing user identity via time-sensitive semantic edit distance (t-SED):
           a case study of Russian trolls on Twitter
    • Abstract: Abstract In the digital era, individuals are increasingly profiled and grouped based on the traces that they leave behind in online social networks such as Twitter and Facebook. In this paper, we develop and evaluate a novel text analysis approach for studying user identity and social roles by redefining identity as a sequence of timestamped items (e.g., tweet texts). We operationalise this idea by developing a novel text distance metric, the time-sensitive semantic edit distance (t-SED), which accounts for the temporal context across multiple traces. To evaluate this method, we undertake a case study of Russian online-troll activity within US political discourse. The novel metric allows us to classify the social roles of trolls based on their traces, in this case tweets, into one of the predefined categories left-leaning, right-leaning, and news feed. We show the effectiveness of the t-SED metric to measure the similarities between tweets while accounting for the temporal context, and we use novel data visualisation techniques and qualitative analysis to uncover new empirical insights into Russian troll activity that have not been identified in the previous work. In addition, we highlight a connection with the field of actor–network theory and the related hypotheses of Gabriel Tarde, and we discuss how social sequence analysis using t-SED may provide new avenues for tackling a longstanding problem in social theory: how to analyse society without separating reality into micro vs. macro-levels.
      PubDate: 2019-07-01
       
  • Extending cluster-based ensemble learning through synthetic population
           generation for modeling disparities in health insurance coverage across
           Missouri
    • Abstract: Abstract In a previous study, Mueller et al. (ISPRS Int J Geo-Inf 8(1):13, 2019), presented a machine learning ensemble algorithm using K-means clustering as a preprocessing technique to increase predictive modeling performance. As a follow-on research effort, this study seeks to test the previously introduced algorithm’s stability and sensitivity, as well as present an innovative method for the extraction of localized and state-level variable importance information from the original dataset, using a nontraditional method known as synthetic population generation. Through iterative synthetic population generation with similar underlying statistical properties to the original dataset and exploration of the distribution of health insurance coverage across the state of Missouri, we identified variables that contributed to decisions for clustering, variables that contributed most significantly to modeling health insurance distribution status throughout the state, and variables that were most influential in optimizing model performance, having the greatest impact on change-in-mean-squared-error (MSE) measurements. Results suggest that cluster-based preprocessing approaches for machine learning algorithms can result in significantly increased performance, and also demonstrate how synthetic populations can be used for performance measurement to identify and test the extent to which variable statistical properties within a dataset can vary without resulting in significant performance loss.
      PubDate: 2019-07-01
       
  • Reflections on study abroad: a computational linguistics approach
    • Abstract: Abstract Study abroad and the associated sociocultural experience has been a subject of substantial interest to social science scholars and university administrators. Shedding novel light on the phenomenon, we draw on a corpus of student-authored reflective essays and apply machine learning methods for analysis of text-as-data to examine the features and the determinants of salient themes emphasized by students in their study abroad reflections. Our analysis identifies 18 different topics spanning the domains of distinctly cultural cognition, interaction with people, physical environment, and personal change. Specifics of the experience such as duration and location, timing of reflections, and observable student characteristics including gender, major, academic performance, extracurricular involvement, and socioeconomic status are all important determinants of student’s reflections. Different factors, however, matter differently with respect to students’ emphases on particular topics, a finding indicative of the complex nature of the study abroad experience.
      PubDate: 2019-07-01
       
  • The role of space and place in social media communication: two case
           studies of policy perspectives
    • Abstract: Abstract The study of how space and place intersect with social policy is still nascent but developing rapidly. As two exemplars of the potential that such research offers, the objective of this review is to integrate the research collected during recent studies of fracking and the death penalty. The primary disciplinary value of this review is to demonstrate the spatial value of communication and social media studies. This study adopts a communication-based theoretical framework as a lens to guide methodological choices in analyzing public perceptions. The social media application from Twitter is used as the engine to capture opinions of social media users engaging public controversies. This review locates connections in the literature between geographers/spatial scientists and communication media theorists.
      PubDate: 2019-07-01
       
  • Coherence and polarization in complex networks
    • Abstract: Abstract In a community, individuals hold opinions and views that are shaped in part by their sources of information and their social network. These opinions and views are rarely uniformly distributed through the possible spectrum. They can exhibit different patterns. We are, in particular, interested in two opposite patterns: polarization, where views are concentrated around extreme positions, and coherence, where views are closer to the center, more moderate positions. We seek to create a model of views evolution and their convergence towards one or another of the patterns. Furthermore, we focus on applying interventions to the structure of networks to demote the polarization issue and influence a network toward convergence of cohered views. Our results show adding links between the weakly-connected nodes reduces polarization, implying the weakly-connected nodes can form bridges between extreme views.
      PubDate: 2019-07-01
       
  • The intertwined cyberbalkanizations of Facebook pages and their audience:
           an analysis of Facebook pages and their audience during the 2014 Hong Kong
           Occupy Movement
    • Abstract: Abstract This study tests a hypothesis that information sources (e.g., Facebook pages) that share information more frequently with each other have high level of audience overlapping. This association is also hypothesized to be politically motivated. To test the empirical relationship, a Facebook pages sharing network was created using the information shared between 1453 Facebook pages during a social movement in Hong Kong. The sharing frequency between two pages was denoted as the page-level edge weight. The audience of Facebook pages—commenters and likers of the page’s posts—were collected. The Jaccard similarity coefficient between two pages was measured as the audience-level edge weight. Using network regression analysis, the page-level and audience-level edge weights were significantly associated. To show this relationship is politically motivated, 1076 audience members were randomly selected and with their political preferences labeled by inferring from their Facebook profile pictures. Using machine learning models, the repertoires of Facebook pages that they have interacted with can predict their political preferences. Our study demonstrated that selective sharing between information source is associated with the division of their audiences into enclaved subgroups with similar political ideologies.
      PubDate: 2019-07-01
       
  • Concept Mover’s Distance: measuring concept engagement via word
           embeddings in texts
    • Abstract: Abstract We propose a method for measuring a text’s engagement with a focal concept using distributional representations of the meaning of words. More specifically, this measure relies on word mover’s distance, which uses word embeddings to determine similarities between two documents. In our approach, which we call Concept Mover’s Distance, a document is measured by the minimum distance the words in the document need to travel to arrive at the position of a “pseudo document” consisting of only words denoting a focal concept. This approach captures the prototypical structure of concepts, is fairly robust to pruning sparse terms as well as variation in text lengths within a corpus, and with pre-trained embeddings, can be used even when terms denoting concepts are absent from corpora and can be applied to bag-of-words datasets. We close by outlining some limitations of the proposed method as well as opportunities for future research.
      PubDate: 2019-07-01
       
  • Angels or demons' Classifying desirable heavy users and undesirable
           power sellers in online C2C marketplace
    • Abstract: Abstract To grow and succeed, online consumer-to-consumer (C2C) marketplaces need to increase the number of users and transactions, because their main revenue is usually the transaction fee. To increase the number of users and transactions, uncertainty must be reduced and a safe and enjoyable transaction environment must be maintained. In this paper, we aim to detect malicious users and power sellers who can harm the healthy growth of an online C2C platform. Using the data set of a major online C2C marketplace called Mercari, we classified undesirable users by building a classification model for banned users. The results of the banned user prediction indicated that most banned users are heavy sellers. Heavy sellers are desirable from the viewpoint of increasing the transaction fee revenue, but many are power sellers who are running full-time businesses on the platform, making it difficult for non-professional sellers to compete, and their dominance may eventually alienate users. Thus, we built another classification model to classify desirable and undesirable power sellers. Applying the model to the CART classifier, we successfully classified non-professional heavy users and undesirable power sellers in an online C2C marketplace.
      PubDate: 2019-07-01
       
  • Estimation of sales decrease caused by a disaster: Hokkaido blackout after
           earthquake in 2018
    • Abstract: Abstract We simulate the inter-firm trading network which consists of approximately 1 million nodes, and we estimate the firm sales in Japan. We apply the gravity interaction model to the real Japanese inter-firm trading network to calculate the money transport between firms. Sales of each firm are evaluated through the scaling relation between the money flow and the sales, and then the total sales are calculated as an economic indicator. This calculation method is applicable to other situations. As an example, we present an estimation of sales decrease caused by the blackout due to the Hokkaido earthquake in September 6, 2018. The total sales are calculated in both cases: before and just after the earthquake. The total loss of sales is estimated as 35 billion yen per day for direct decrease in the firm sales in Hokkaido, while as 90 billion yen per day for indirect decrease in the other areas. The indirect sales decrease is about 2.6 times as well as the direct sales decrease.
      PubDate: 2019-01-01
       
  • Dynamic organization of flocking behaviors in a large-scale boids model
    • Abstract: Abstract A simulation of a half-million flock is studied using a simple boids model originally proposed by Craig Reynolds. It was modeled with a differential equation in 3D space with a periodic boundary. Flocking is collective behavior of active agents, which is often observed in the real world (e.g., starling swarms). It is, nevertheless, hard to rigorously define flocks (or their boundaries). First, even within the same swarm, the members are constantly updated, and second, flocks sometimes merge or divide dynamically. To define individual flocks and to capture their dynamic features, we applied a DBSCAN and a non-negative matrix factorization (NMF) to the boid dataset. Flocking behavior has different types of dynamics depending on the size of the flock. A function of different flocks is discussed with the result of NMF analysis.
      PubDate: 2019-01-01
       
 
 
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