IEEE Transactions on Computational Social Systems

Issue 2 • June 2017

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Displaying Results 1 - 6 of 6
  • Table of contents

    Publication Year: 2017, Page(s): C1
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  • IEEE publication information

    Publication Year: 2017, Page(s): C2
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  • Computing Team Process Measures From the Structure and Content of Broadcast Collaborative Communications

    Publication Year: 2017, Page(s):26 - 39
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    Existing approaches to compute team process measures are primarily based on survey ratings, semantic classification of communications, and social network analyses. Although existing approaches reveal important information about team performance, they face specific limitations. Survey methodologies are in general unreliable, biased, and not dynamic; communication classifications are often a-theoret... View full abstract»

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  • A Mathematical Analysis of Network Controllability Through Driver Nodes

    Publication Year: 2017, Page(s):40 - 51
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    A May 2011 Nature article by Liu, Slotine, and Barabasi laid a mathematical foundation for analyzing network controllability of self-organizing networks and how to identify the minimum number of nodes needed to control a network, or driver nodes. In this paper, we continue to explore this topic, beginning with a look at how Laplacian eigenvalues relate to the percentage of nodes required to contro... View full abstract»

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  • IEEE Transactions on Computational Social Systems society information

    Publication Year: 2017, Page(s): C3
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  • IEEE Transactions on Computational Social Systems information for authors

    Publication Year: 2017, 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