IEEE Transactions on Computational Social Systems

Issue 1 • March 2016

Filter Results

Displaying Results 1 - 9 of 9
  • Table of contents

    Publication Year: 2016, Page(s): C1
    Request permission for commercial reuse | |PDF file iconPDF (347 KB)
    Freely Available from IEEE
  • IEEE publication information

    Publication Year: 2016, Page(s): C2
    Request permission for commercial reuse | |PDF file iconPDF (82 KB)
    Freely Available from IEEE
  • Multivariate Data Fusion-Based Learning of Video Content and Service Distribution for Cyber Physical Social Systems

    Publication Year: 2016, Page(s):1 - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2744 KB) | HTML iconHTML

    Integration of physical processes with the computing world is driving newer challenges for networking frameworks. Cyber physical social systems (CPSSs) are another upcoming paradigm that encompasses the ever-growing interaction between the physical, social, and cyber worlds. As communication networks form the basis of these interactions, a cognitive evaluation of networks is called for. This CPSS ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Dynamics of a Repulsive Voter Model

    Publication Year: 2016, Page(s):13 - 22
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1379 KB) | HTML iconHTML

    In contrast to most conventional social interaction models, in this paper, the dynamics of repulsive interactions between the nodes of a network is investigated. Such a model may be considered to be a first-order approximation of many anticonformal social policies, such as drivers making lane-changing decisions when confronted with other cars in the same lane. Such policies are also demonstrated i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Technology Futures From Passive Crowdsourcing

    Publication Year: 2016, Page(s):23 - 31
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2792 KB) | HTML iconHTML

    Efforts to predict emerging, new, or disruptive technologies use various analyses and data sources to derive indicators and subsequent forecasts about technological innovations, including quantitative (such as bibliometric analysis) and qualitative methods (such as expert elicitation). We describe a novel approach for harnessing a collective (crowdsourced) predictive ability available through publ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Understanding and Predicting Question Subjectivity in Social Question and Answering

    Publication Year: 2016, Page(s):32 - 41
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1950 KB) | HTML iconHTML

    The explosive popularity of social networking sites has provided an additional venue for online information seeking. By posting questions in their status updates, more and more people are turning to social networks to fulfill their information needs. Given that understanding individuals' information needs could improve the performance of question answering, in this paper, we model the task of inte... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Comments and Corrections

    Publication Year: 2016, Page(s): 42
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (16 KB) | HTML iconHTML

    Presents correcttions to the paper, “A performance evaluation of machine learning-based streaming spam tweets detection,” (Chen ], C.; et al) , IEEE Trans. Comput. Social Syst., vol. 2, no. 3, pp. 65–76, Sep. 2015. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE Transactions on Computational Social Systems society information

    Publication Year: 2016, Page(s): C3
    Request permission for commercial reuse | |PDF file iconPDF (73 KB)
    Freely Available from IEEE
  • IEEE Transactions on Computational Social Systems information for authors

    Publication Year: 2016, Page(s): C4
    Request permission for commercial reuse | |PDF file iconPDF (84 KB)
    Freely Available from IEEE

Aims & Scope

IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Fei-Yue Wang
University of Chinese Academy of Science
Beijing, China
Email: feiyue.trans@gmail.com