IEEE Transactions on Computational Social Systems

Issue 4 • Dec. 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 (183 KB)
    Freely Available from IEEE
  • IEEE publication information

    Publication Year: 2016, Page(s): C2
    Request permission for commercial reuse | |PDF file iconPDF (72 KB)
    Freely Available from IEEE
  • Consensus and Polarization of Binary Opinions in Structurally Balanced Networks

    Publication Year: 2016, Page(s):141 - 150
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1116 KB) | HTML iconHTML

    In this paper, we propose a new model for binary opinion dynamics in a (fully connected) structurally balanced network. In a structurally balanced network, agents are classified into two clusters and two agents in the same cluster (resp. different clusters) are connected with a positive (resp. negative) edge. Initially, every agent is assigned with one of the two opinions randomly. In every time s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Effector Detection in Social Networks

    Publication Year: 2016, Page(s):151 - 163
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1612 KB) | HTML iconHTML

    In a social network, influence diffusion is the process of spreading innovations from user to user. An activation state identifies who are the active users who have adopted the target innovation. Given an activation state of a certain diffusion, effector detection aims to reveal the active users who are able to best explain the observed state. In this paper, we tackle the effector detection proble... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks

    Publication Year: 2016, Page(s):164 - 175
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2003 KB) | HTML iconHTML

    Location-based social networks (LBSNs) such as Foursquare, Brightkite, and Gowalla are a growing area where recommendation algorithms find a practical application. With an ever-increasing variety of venues to choose from deciding on a destination can be overwhelming. Recommenders aid their users in the decision-making process by providing a list of locations likely to be relevant to the user's nee... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Web of Credit: Adaptive Personalized Trust Network Inference From Online Rating Data

    Publication Year: 2016, Page(s):176 - 189
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1735 KB) | HTML iconHTML

    Trust is a pivotal element of any information system that allows users to share, communicate, interact, or collaborate with one another. Trust inference is particularly crucial for online social networks where interaction with acquaintances or even anonymous strangers is widely a norm. In the past decade, a number of trust inference algorithms have been proposed to address this issue, which are pr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 2016 IndexIEEE Transactions on Computational Social SystemsVol. 3

    Publication Year: 2016, Page(s):190 - 193
    Request permission for commercial reuse | |PDF file iconPDF (68 KB)
    Freely Available from IEEE
  • IEEE Transactions on Computational Social Systems society information

    Publication Year: 2016, Page(s): C3
    Request permission for commercial reuse | |PDF file iconPDF (85 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 (94 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