IEEE Transactions on Computational Social Systems

Issue 3 • Sept. 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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  • Investigating Link Inference in Partially Observable Networks: Friendship Ties and Interaction

    Publication Year: 2016, Page(s):113 - 119
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2019 KB) | HTML iconHTML

    While privacy preserving mechanisms, such as hiding one's friends list, may be available to withhold personal information on online social networking sites, it is not obvious whether to which degree a user's social behavior renders such an attempt futile. In this paper, we study the impact of additional interaction information on the inference of links between nodes in partially covert networks. T... View full abstract»

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  • Stability of Consensus Node Orderings Under Imperfect Network Data

    Publication Year: 2016, Page(s):120 - 131
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3866 KB) | HTML iconHTML

    In complex network analysis, the problem of ranking individual nodes based on their importance has attracted increasing attention from the scientific community due to its vast application, such as identification of influential spreaders for viral marketing or epidemic control, bottlenecks for traffic congestion control, and so on. The growing literature proposes a number of measures to determine t... View full abstract»

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  • Randomness and Structure in Collaboration Networks: A Random Matrix Analysis

    Publication Year: 2016, Page(s):132 - 138
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1457 KB) | HTML iconHTML

    We investigate the Geom collaboration network under the random matrix theory framework. While the spectral density exhibiting triangular shape with high degeneracy at zero emphasizes on the complexity of interactions in underlying system, the spectral fluctuations provide a measure of the complexity. The short-range correlations follow the random matrix prediction, suggesting the existence of a mi... View full abstract»

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  • Introducing IEEE Collabratec

    Publication Year: 2016, Page(s): 139
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  • Together, we are advancing technology

    Publication Year: 2016, Page(s): 140
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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