Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
    - ANIMATION AND SIMULATION (33 journals)
    - ARTIFICIAL INTELLIGENCE (133 journals)
    - AUTOMATION AND ROBOTICS (116 journals)
    - CLOUD COMPUTING AND NETWORKS (75 journals)
    - COMPUTER ARCHITECTURE (11 journals)
    - COMPUTER ENGINEERING (12 journals)
    - COMPUTER GAMES (23 journals)
    - COMPUTER PROGRAMMING (25 journals)
    - COMPUTER SCIENCE (1305 journals)
    - COMPUTER SECURITY (59 journals)
    - DATA BASE MANAGEMENT (21 journals)
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    - ELECTRONIC DATA PROCESSING (23 journals)
    - IMAGE AND VIDEO PROCESSING (42 journals)
    - INFORMATION SYSTEMS (109 journals)
    - INTERNET (111 journals)
    - SOCIAL WEB (61 journals)
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    - THEORY OF COMPUTING (10 journals)

SOCIAL WEB (61 journals)

Showing 1 - 58 of 58 Journals sorted alphabetically
ACM Transactions on Social Computing     Hybrid Journal  
ACM Transactions on the Web (TWEB)     Hybrid Journal   (Followers: 3)
American Journal of Information Systems     Open Access   (Followers: 4)
Asiascape : Digital Asia     Hybrid Journal   (Followers: 1)
CCF Transactions on Networking     Hybrid Journal  
Communications in Mobile Computing     Open Access   (Followers: 14)
Computational Social Networks     Open Access   (Followers: 4)
Cyberpolitik Journal     Open Access  
Cyberpsychology, Behavior, and Social Networking     Hybrid Journal   (Followers: 16)
Data Science     Open Access   (Followers: 6)
Digital Library Perspectives     Hybrid Journal   (Followers: 40)
Discover Internet of Things     Open Access   (Followers: 2)
Informação & Informação     Open Access   (Followers: 2)
Information Technology and Libraries     Open Access   (Followers: 314)
Infrastructure Complexity     Open Access   (Followers: 5)
International Journal of Art, Culture and Design Technologies     Full-text available via subscription   (Followers: 10)
International Journal of Bullying Prevention     Hybrid Journal   (Followers: 1)
International Journal of Digital Humanities     Hybrid Journal   (Followers: 3)
International Journal of e-Collaboration     Full-text available via subscription  
International Journal of E-Entrepreneurship and Innovation     Full-text available via subscription   (Followers: 6)
International Journal of Entertainment Technology and Management     Hybrid Journal   (Followers: 1)
International Journal of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 25)
International Journal of Information Technology and Web Engineering     Hybrid Journal   (Followers: 2)
International Journal of Interactive Communication Systems and Technologies     Full-text available via subscription   (Followers: 2)
International Journal of Interactive Mobile Technologies     Open Access   (Followers: 8)
International Journal of Internet and Distributed Systems     Open Access   (Followers: 2)
International Journal of Knowledge Society Research     Full-text available via subscription  
International Journal of Networking and Virtual Organisations     Hybrid Journal   (Followers: 11)
International Journal of Social and Humanistic Computing     Hybrid Journal  
International Journal of Social Computing and Cyber-Physical Systems     Hybrid Journal  
International Journal of Social Media and Interactive Learning Environments     Hybrid Journal   (Followers: 14)
International Journal of Social Network Mining     Hybrid Journal   (Followers: 3)
International Journal of Virtual Communities and Social Networking     Full-text available via subscription   (Followers: 1)
International Journal of Web Based Communities     Hybrid Journal  
International Journal of Web-Based Learning and Teaching Technologies     Hybrid Journal   (Followers: 20)
International Journal on Semantic Web and Information Systems     Hybrid Journal   (Followers: 4)
Internet Technology Letters     Hybrid Journal  
JLIS.it     Open Access   (Followers: 7)
Journal of Cyber Policy     Hybrid Journal   (Followers: 1)
Journal of Digital & Social Media Marketing     Full-text available via subscription   (Followers: 18)
Journal of Social Structure     Open Access   (Followers: 1)
Medicine 2.0     Open Access   (Followers: 2)
Observatorio (OBS*)     Open Access  
Online Social Networks and Media     Hybrid Journal   (Followers: 9)
Policy & Internet     Hybrid Journal   (Followers: 11)
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies     Hybrid Journal  
Redes. Revista Hispana para el Análisis de Redes Sociales     Open Access  
RESET     Open Access  
Scientific Phone Apps and Mobile Devices     Open Access  
Social Media + Society     Open Access   (Followers: 24)
Social Network Analysis and Mining     Hybrid Journal   (Followers: 4)
Social Networking     Open Access   (Followers: 3)
Social Networks     Hybrid Journal   (Followers: 20)
Social Science Computer Review     Hybrid Journal   (Followers: 13)
Synthesis Lectures on the Semantic Web: Theory and Technology     Full-text available via subscription  
Teknokultura. Revista de Cultura Digital y Movimientos Sociales     Open Access  
Terminal     Open Access  
Texto Digital     Open Access  
Similar Journals
Journal Cover
International Journal of Social Network Mining
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1757-8485 - ISSN (Online) 1757-8493
Published by Inderscience Publishers Homepage  [451 journals]
  • Research contributions published on betweenness centrality algorithm:
           modelling to analysis in the context of social networking

    • Free pre-print version: Loading...

      Authors: Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho
      Pages: 1 - 34
      Abstract: Social network analysis has become an inevitable tool for the prosperity of modern civilisation. The process of accumulating relational information from structured/unstructured sources, modelling networks, and extracting actionable information requires expertising in several knowledge domains. This paper presents an approach for the analysis of documents in the context of social networking. The approach is illustrated by using a case study related to research contributions published on betweenness centrality algorithm. Distinct networks in terms of article, article-author, and author are modelled and analysed to understand the insights. Consequently, it is possible to identify crucial articles, active authors, groups along with their expertise, research directions, the correlation among documents, and many more. Thus the paper conferred techniques for document collection, pre-processing, network modelling, and network analysis methods for the directed, undirected, weighted, unweighted, connected, disconnected, and bipartite networks.
      Keywords: betweenness centrality; bibliographic data collection; document labelling; network modelling; network analysis methods; preferential attachment; two-mode analysis; cluster analysis
      Citation: International Journal of Social Network Mining, Vol. 3, No. 1 (2020) pp. 1 - 34
      PubDate: 2020-03-11T23:20:50-05:00
      DOI: 10.1504/IJSNM.2020.105722
      Issue No: Vol. 3, No. 1 (2020)
       
  • Action rules for sentiment analysis using Twitter

    • Free pre-print version: Loading...

      Authors: Angelina A. Tzacheva, Jaishree Ranganathan, Arunkumar Bagavathi
      Pages: 35 - 51
      Abstract: Actionable patterns are interesting and usable knowledge mined from large datasets. Action rules are rules that describe the possible transition of objects from one state to another with respect to a decision attribute. In this work, we extract actionable recommendations in the form of action rules, that can be applied to social networking data in a scalable manner to achieve the desired user goals. We propose extraction of actionable patterns based on sentiment analysis of social network data. In sentiment analysis there are two approaches to determine the polarity: Corpus-based, and Lexicon-based. We use corpus-based sentiment analysis approach, where sentiment values are generated based on sentence structure rather than words. Results show actionable patterns in tweet data and provide suggestions on how to change sentiment of the tweet to a more positive one. The experiment is performed with Twitter data in a distributed environment using Hadoop MapReduce for scalability with large data.
      Keywords: sentiment analysis; natural language processing; action rules; MapReduce
      Citation: International Journal of Social Network Mining, Vol. 3, No. 1 (2020) pp. 35 - 51
      PubDate: 2020-03-11T23:20:50-05:00
      DOI: 10.1504/IJSNM.2020.105728
      Issue No: Vol. 3, No. 1 (2020)
       
  • Spatial patterns of the French rail strikes from social networks using
           weighted k-nearest neighbour

    • Free pre-print version: Loading...

      Authors: Rachid Ouaret, Babiga Birregah, Omar Jaafor
      Pages: 52 - 76
      Abstract: The information analysis provided by millions of social network users is one of the most important sources of information yielding interesting insights of spatial patterns about socio-political events. During the recent French National Railway strikes (from April to June, 2018), Twitter was used as platform where people expressed their opinions, with millions of French National Railway Company (SNCF) tweets posted over the strike period. In this paper, we have discussed a methodology which allows the utilisation and interpretation of Twitter data to determine spatial patterns over French territory. The identification of a geographic strike landscape is achieved through spatial interpolation using weighted <i>k</i>-nearest neighbour. This study shows the benefits of geo-statistical learning for extracting sentiment polarities of social events across France.
      Keywords: weighted k-nearest neighbour; wk-NN; spatial interpolation; Twitter; social networks; railway network; social polarities; sentiments analysis; France
      Citation: International Journal of Social Network Mining, Vol. 3, No. 1 (2020) pp. 52 - 76
      PubDate: 2020-03-11T23:20:50-05:00
      DOI: 10.1504/IJSNM.2020.105745
      Issue No: Vol. 3, No. 1 (2020)
       
  • A model for reputation rank in online social networks and its applications

    • Free pre-print version: Loading...

      Authors: Izzat Alsmadi, Mohammad Al-Abdullah
      Pages: 77 - 98
      Abstract: The volume of information users upload through online social networks (OSNs) is continuously growing. Our focus in this research is in evaluating models to quantify the volume and strengths of interactions between users in OSNs. In our first model, we proposed a reputation rank in OSNs based on a tree graph in which users represent the tree nodes and edges represent their friends' connections or their generated activities. In each OSN such as Facebook, Twitter, LinkedIn, etc. each user will be given a single value that represents the user created activities and friends' interactions with those activities. The model focuses on volumes and statistics of interactions, rather than the content. We also extended the use of cliques' models in OSNs to be normalised or weighted based on the volumes of interactions among clique members. We showed that this can show deeper knowledge of clique relations when comparing it with the classical non-weighted clique models.
      Keywords: users' social interactions; online social networks; OSNs; weighted cliques; weighted trust; weighted reputation
      Citation: International Journal of Social Network Mining, Vol. 3, No. 1 (2020) pp. 77 - 98
      PubDate: 2020-03-11T23:20:50-05:00
      DOI: 10.1504/IJSNM.2020.105746
      Issue No: Vol. 3, No. 1 (2020)
       
 
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