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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted by number of followers
Review of Economics and Statistics     Hybrid Journal   (Followers: 160)
Statistics in Medicine     Hybrid Journal   (Followers: 152)
Journal of Econometrics     Hybrid Journal   (Followers: 84)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 73, SJR: 3.746, CiteScore: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Biometrics     Hybrid Journal   (Followers: 52)
Sociological Methods & Research     Hybrid Journal   (Followers: 45)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 40, SJR: 3.664, CiteScore: 2)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 40)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 36)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 34)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 33)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 30)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 28)
The American Statistician     Full-text available via subscription   (Followers: 26)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 26)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 24)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Forecasting     Hybrid Journal   (Followers: 20)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 18)
Statistical Modelling     Hybrid Journal   (Followers: 18)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 17)
Journal of Statistical Software     Open Access   (Followers: 16, SJR: 13.802, CiteScore: 16)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 16)
Risk Management     Hybrid Journal   (Followers: 16)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 15)
Computational Statistics     Hybrid Journal   (Followers: 15)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Demographic Research     Open Access   (Followers: 14)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 13)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
International Statistical Review     Hybrid Journal   (Followers: 12)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 11)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Biometrical Journal     Hybrid Journal   (Followers: 9)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Argumentation et analyse du discours     Open Access   (Followers: 8)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Current Research in Biostatistics     Open Access   (Followers: 8)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Stata Journal     Full-text available via subscription   (Followers: 8)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 7)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
Lifetime Data Analysis     Hybrid Journal   (Followers: 7)
Significance     Hybrid Journal   (Followers: 7)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Queueing Systems     Hybrid Journal   (Followers: 7)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Statistical Methods and Applications     Hybrid Journal   (Followers: 6)
Law, Probability and Risk     Hybrid Journal   (Followers: 6)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
Journal of Global Optimization     Hybrid Journal   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Engineering With Computers     Hybrid Journal   (Followers: 5)
CHANCE     Hybrid Journal   (Followers: 5)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 4)
Metrika     Hybrid Journal   (Followers: 4)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Statistical Papers     Hybrid Journal   (Followers: 4)
Sankhya A     Hybrid Journal   (Followers: 3)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
Building Simulation     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Stochastic Models     Hybrid Journal   (Followers: 2)
Optimization Letters     Hybrid Journal   (Followers: 2)
TEST     Hybrid Journal   (Followers: 2)
Extremes     Hybrid Journal   (Followers: 2)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Statistics and Economics     Open Access  
Review of Socionetwork Strategies     Hybrid Journal  
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Journal of the Korean Statistical Society     Hybrid Journal  
Sequential Analysis: Design Methods and Applications     Hybrid Journal  

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Advances in Complex Systems
Journal Prestige (SJR): 0.25
Citation Impact (citeScore): 1
Number of Followers: 10  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0219-5259 - ISSN (Online) 1793-6802
Published by World Scientific Homepage  [121 journals]
  • MAPPING THE NETWORKED CONTEXT OF COPERNICUS, MICHELANGELO, AND DELLA
           MIRANDOLA IN WIKIPEDIA

    • Free pre-print version: Loading...

      Authors: LUIS A. MICCIO, CARLOS GÁMEZ-PÉREZ, JUAN LUIS SUÁREZ, GUSTAVO A. SCHWARTZ
      Abstract: Advances in Complex Systems, Ahead of Print.
      To discern the role social and cultural networks play in the emergence of preeminent historical figures and ideas in History, we use a method based on complex networks analysis to reveal emergent interactions in Wikipedia. We built a network constituted by derivative links, where nodes are connected if they are co-linked by other papers or co-link other papers within Wikipedia. We apply this method, focused on the structural distance, to three significant individuals associated with the Italian Renaissance: Copernicus, Michelangelo, and Pico della Mirandola. The results point to the effectiveness of this approach for discovering new knowledge about the interdisciplinary transactions between people and ideas coming from artistic, scientific and philosophical domains during this period. The emergent network reflects the apparently strong network-level interactions between Michelangelo and Mirandola’s clusters; the importance of Hermeticism across the three clusters; and how the so-called “knowledge dealers” related to Neoplatonism contribute to the depiction of the period by future historians. Finally, we advance the notion of “focus reading”, in which complex networks analysis allows us to build bridges between close and distant forms of reading historical evidence.
      Citation: Advances in Complex Systems
      PubDate: 2022-11-17T08:00:00Z
      DOI: 10.1142/S0219525922400100
       
  • EDITORIAL FOR TOPICAL ISSUE ON CULTURAL COMPLEXITY

    • Free pre-print version: Loading...

      Authors: Ramona Roller, Maximilian Schich, Hyejin Youn, Mikhail Tamm
      Abstract: Advances in Complex Systems, Ahead of Print.

      Citation: Advances in Complex Systems
      PubDate: 2022-11-11T08:00:00Z
      DOI: 10.1142/S0219525922020027
       
  • LONG-RANGE CONNECTIONS, REAL-WORLD NETWORKS AND RATES OF DIFFUSION

    • Free pre-print version: Loading...

      Authors: TANYA ARAÚJO, R. VILELA MENDES
      Abstract: Advances in Complex Systems, Ahead of Print.
      Long-range connections play an essential role in dynamical processes on networks, on the processing of information in biological networks, on the structure of social and economical networks and in the propagation of opinions and epidemics. Here, we review the evidence for long-range connections in real-world networks and discuss the nature of the nonlocal diffusion arising from different distance-dependent laws. Particular attention is devoted to the characterization of diffusion in finite networks for moderate large times and to the comparison of distance laws of exponential and power type.
      Citation: Advances in Complex Systems
      PubDate: 2022-11-09T08:00:00Z
      DOI: 10.1142/S0219525922500096
       
  • NETWORKS OF MUSIC GROUPS AS SUCCESS PREDICTORS

    • Free pre-print version: Loading...

      Authors: DMITRY ZINOVIEV
      Abstract: Advances in Complex Systems, Ahead of Print.
      More than 4600 non-academic music groups had emerged in the USSR and post-Soviet independent nations during 1960–2015, performing in 275 genres. Some groups became legends and survived for decades, while others vanished and are known now only to the most dedicated music history scholars. To explain and predict success, we built a complex network of the groups and their almost 20,000 members based on performers’ sharing using the data from Wikipedia and Google. We calculated the primary network measures: centralities, degree assortativity, and clustering coefficient — and discovered that they could not accurately predict music group success, but they could distinguish between coarse measures of success, such as which groups were above or below the median. In particular, all centralities positively correlate with success, and the clustering coefficient non-linearly maximizes it. The proposed network-based success exploration and prediction methods are transferable to other arts and humanities areas with medium- or long-term team-based collaborations.
      Citation: Advances in Complex Systems
      PubDate: 2022-11-03T07:00:00Z
      DOI: 10.1142/S0219525922400094
       
  • THE ENIGMATIC FRÁOCH AND HIS EPONYMOUS TALE — NETWORK ANALYSIS OF AN
           EARLY IRISH HEROIC ROMANCE

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      Authors: MADELEINE JANICKYJ, DANIEL CURLEY, PÁDRAIG MACCARRON, MIKE MCCARTHY, JOSEPH YOSE, RALPH KENNA
      Abstract: Advances in Complex Systems, Ahead of Print.
      Táin Bó Cúailnge or the “Cattle Raid of Cooley” (TBC) is the most famous epic narrative in early Irish literature, having been brought to prominence in modern times by Thomas Kinsella’s iconic translation (1969). The origins of TBC were described by Kinsella as “far more ancient” than the medieval manuscripts that relate it and associated prequels to the tale, called remscéla. One of these, not included in Kinsella’s translation, is Táin Bó Fraích — “The raid of Fráoch’s cattle” (TBF). TBF comes in two discontinuous parts which differ in subject matter and style. We examine the structural relationships between TBF as presented by Leahy [Heroic Romances in Ireland (David Nutt, London, 1906)] and TBC from a social networks point of view and compare them with the seven smaller tales presented in Kinsella’s text. We find that network structures in Kinsella’s text — both TBC itself and the remscéla he selected — are similar to those in TBF, and somewhat moreso the first part than the second.
      Citation: Advances in Complex Systems
      PubDate: 2022-10-31T07:00:00Z
      DOI: 10.1142/S0219525922400069
       
  • CASCADES IN WORLD INPUT–OUTPUT NETWORK: ILLUSION OF STABILITY

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      Authors: ANDREY LEONIDOV, STANISLAV RADIONOV, EKATERINA VASILYEVA
      Abstract: Advances in Complex Systems, Ahead of Print.
      In this study, we address an issue of stability of global production network by constructing a scheme combining classical Leontieff input–output analysis and modeling of contagion in financial networks. We propose a model of disruptive cascades in global economy with nonlinear effects similar to those in the financial contagion model proposed by Elliott, Golub and Jackson (2014). We apply the model to the analysis of stability of the global input–output sectoral network using the data from the World Input-Output Database (WIOD). We show that this sectoral network appears to be very stable with respect to sectoral shocks. However, by introducing synthetic substructure of economic sectors in the WIOD data we show that this stability is to a significant extent an artifact of working with aggregated data. Namely, we show that the impact of economic shocks may be much more pronounced if an underlying disaggregated network is sufficiently sparse.
      Citation: Advances in Complex Systems
      PubDate: 2022-10-21T07:00:00Z
      DOI: 10.1142/S0219525922500084
       
  • A DYNAMICAL SYSTEMS PERSPECTIVE ON THE DETECTION OF RACIAL PROFILING

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      Authors: STEPHAN HERMINGHAUS, KNUT M. HEIDEMANN
      Abstract: Advances in Complex Systems, Ahead of Print.
      It is investigated how a possible racial bias in police officer’s searching behavior might be detected from the temporal variations in search rate and hit rate data. It is shown that this appears possible, conditions on data quality are derived, and a few tests on several aspects of racial bias are proposed.
      Citation: Advances in Complex Systems
      PubDate: 2022-10-19T07:00:00Z
      DOI: 10.1142/S0219525922500072
       
  • TOWARDS A MEASURE OF HARMONIC COMPLEXITY IN WESTERN CLASSICAL MUSIC

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      Authors: MARCO BUONGIORNO NARDELLI, GARLAND CULBRETH, MIGUEL FUENTES
      Abstract: Advances in Complex Systems, Ahead of Print.
      We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic complexity from the analysis of the topology of these networks using state-of-the-art statistical mechanics techniques. Since complex networks support the communication of information by encoding the structure of allowed messages, we can quantify the information associated with locating specific addresses through the measure of the entropy of such network. In doing so, we then characterize properties of network topology, such as the degree distribution of a graph or the shortest paths between couples of nodes. Here, we report on two different evaluations of network entropy, diffusion entropy analysis (DEA) and the Kullback–Leibler divergence applied to the conditional degree matrix, and the measurements of complexity they provide, when applied to an extensive corpus of scores spanning 500 years of western classical music. Although the analysis is limited in scope, our results already provide quantitative evidence of an increase of such measures of harmonic complexity over the corpora we have analyzed.
      Citation: Advances in Complex Systems
      PubDate: 2022-09-30T07:00:00Z
      DOI: 10.1142/S0219525922400082
       
  • NETWORK ANALYSIS OF THE KYIV BYLYNY CYCLE — EAST SLAVIC EPIC
           NARRATIVES

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      Authors: PETRO SARKANYCH, NAZAR FEDORAK, YURIJ HOLOVATCH, PÁDRAIG MACCARRON, JOSEPH YOSE, RALPH KENNA
      Abstract: Advances in Complex Systems, Ahead of Print.
      In recent times, the advent of network science permitted new quantitative approaches to literary studies. Here, we bring the Kyiv bylyny cycle into the field — East Slavic epic narratives originating in modern-day Ukraine. By comparing them to other prominent European epics, we identify universal and distinguishing properties of the social networks in bylyny. We analyze community structures and rank most important characters. The method allows to bolster hypotheses from humanities literature — such as the position of Prince Volodymyr — and to generate new ones. We show how the Kyiv cycle of bylyny fits very well with narrative networks from other nations — especially heroic ones. We anticipate that, besides delivering new narratological insights, this study will aid future scholars and interested public to navigate their way through Ukraine’s epic story and identify its heroes.
      Citation: Advances in Complex Systems
      PubDate: 2022-09-26T07:00:00Z
      DOI: 10.1142/S0219525922400070
       
  • THE BACKBONE OF THE FINANCIAL INTERACTION NETWORK USING A MAXIMUM ENTROPY
           DISTRIBUTION

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      Authors: MAURICIO A. VALLE, FELIPE URBINA
      Abstract: Advances in Complex Systems, Ahead of Print.
      We modeled the stocks of the financial system as a set of many interacting like spins derived from binary daily returns. From the empirical observation of these returns, we used a Boltzmann machine to infer a distribution of states equivalent to a maximum entropy distribution. This model describes the interaction couplings between each stock pair in the system, which can be considered a complete network with [math][math]1)/2 couplings. We then engage in a coupling removal process to find a critical graph that can describe the observed states of the system with the minimum number of edges. We interpret the critical graph as the backbone of the system, and it allows us to evaluate the importance of markets in their relation to others in the system. We also found that the structure of this critical graph is highly variable over time and appears to be dependent on the level of entropy of the system.
      Citation: Advances in Complex Systems
      PubDate: 2022-08-25T07:00:00Z
      DOI: 10.1142/S0219525922500060
       
  • COMPLEX NETWORK ANALYSIS OF A GRAPHIC NOVEL: THE CASE OF THE BANDE
           DESSINÉE THORGAL

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      Authors: VINCENT LABATUT
      Abstract: Advances in Complex Systems, Ahead of Print.
      The task of extracting and analyzing character networks from works of fiction, such as novels and movies, has been the object of a number of recent publications. However, only a very few of them focus on graphic novels, and even fewer on European graphic novels. In this paper, we focus on Thorgal, a bande dessinée, i.e. a comic of the French-Belgian tradition. We manually annotate all the volumes of this series, in order to constitute a corpus allowing us to extract its character network. We perform a descriptive analysis of the network structure and compare it to real-world and fictional social networks. We also study the effect of character filtering over the network structure. Finally, we leverage complex network analysis tools to answer two research questions from the literature, related to the similarity between Thorgal and the Saga of Icelanders; and to the position of women in the series. Our data and source code are both publicly available online.
      Citation: Advances in Complex Systems
      PubDate: 2022-07-17T07:00:00Z
      DOI: 10.1142/S0219525922400033
       
  • FORKING PATHS OF CULTURAL COMPLEXITY: A CASE STUDY OF RESEARCH PARADIGMS

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      Authors: JOSHUA BORYCZ, BENJAMIN D. HORNE, R. ALEXANDER BENTLEY
      Abstract: Advances in Complex Systems, Ahead of Print.
      Evolutionary studies of cultural complexity often assume that group members select the best information available in the group, effectively diffusing the best innovations, whose advantages are subsequently passed on to the next generation. This would seem to describe the ideal of the scientific process — each cohort of papers in a field surfacing the best innovations, refining them and passing on to the next “layer” or cohort of scientific works. Here, we use academic journal databases to explore this “forking” (branching) process in the evolution of a scientific paradigm. We apply citation network visualization and Latent Dirichlet allocation topic analysis to three different paradigms defined pragmatically as the set of papers citing a highly influential paper in each respective case. Our three case studies indicate a founder effect in how the seminal paper is highly-embedded in the citation network, and yet peripheral to the evolution of topics in subsequent “layers” of publications within the paradigm. This and additional evidence suggest certain topics are selected and followed, while others are left behind. From these case studies we discuss how hitherto undeveloped ideas of the past might be located in the topic space of seminal works of the same fruitful time period.
      Citation: Advances in Complex Systems
      PubDate: 2022-07-13T07:00:00Z
      DOI: 10.1142/S0219525922400045
       
 
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