IEEE Transactions on Computational Social Systems

Issue 2 • June 2016

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  • Table of contents

    Publication Year: 2016, Page(s): C1
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  • IEEE publication information

    Publication Year: 2016, Page(s): C2
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  • Guest Editorial on Social Computing, Behavioral-Cultural Modeling and Prediction

    Publication Year: 2016, Page(s):43 - 45
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  • Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment

    Publication Year: 2016, Page(s):46 - 62
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3336 KB) | HTML iconHTML

    In the midst of today's pervasive influence of social media content and activities, information credibility has increasingly become a major issue. Accordingly, identifying false information, e.g., rumors circulated in social media environments, attracts expanding research attention and growing interests. Many previous studies have exploited user-independent features for rumor detection. These prio... View full abstract»

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  • Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved $K$ -Medoid Clustering

    Publication Year: 2016, Page(s):63 - 74
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1947 KB) | HTML iconHTML

    Most cancer patients, including patients with breast cancer, experience multiple symptoms simultaneously while receiving active treatment. Some symptoms tend to occur together and may be related, such as hot flashes and night sweats. Co-occurring symptoms may have a multiplicative effect on patients' functioning, mental health, and quality of life. Symptom clusters in the context of oncology were ... View full abstract»

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  • Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network

    Publication Year: 2016, Page(s):75 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3361 KB) | HTML iconHTML

    Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society's Cancer Survivor Network (CSN), a 173 000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is often initiated by a cancer survivor seeking support from other members of CSN. Discussion threads ... View full abstract»

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  • Social Network Analysis With Data Fusion

    Publication Year: 2016, Page(s):88 - 99
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3219 KB) | HTML iconHTML

    This paper reports on the utility of social network analysis methods in the data fusion domain. Given fused data that combine multiple intelligence reports from the same environment, social network extraction and high value individual (HVI) identification are of interest. The research on the feasibility of such activities may help not only in methodological developments in network science but also... View full abstract»

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  • A Signaling Game for Uncertain Data Delivery in Selfish Mobile Social Networks

    Publication Year: 2016, Page(s):100 - 112
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2524 KB) | HTML iconHTML

    Cooperative data delivery among mobile nodes can improve the performance of data delivery in mobile social networks. However, data routing in the presence of socially selfish (SS) nodes is challenging, where they mitigate the degree of their cooperation level based on their social features and ties to achieve their social objectives. This issue becomes more challenging when they prevent revealing ... View full abstract»

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  • IEEE Transactions on Computational Social Systems society information

    Publication Year: 2016, Page(s): C3
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  • IEEE Transactions on Computational Social Systems information for authors

    Publication Year: 2016, Page(s): C4
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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.

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Meet Our Editors

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