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  1. Research

    Handling big data of online social networks on a small machine

    Dealing with big data in computational social networks may require powerful machines, big storage, and high bandwidth, which may seem beyond the capacity of small labs. We demonstrate that researchers with lim...

    Ming Jia, Hualiang Xu, Jingwen Wang, Yiqi Bai, Benyuan Liu and Jie Wang

    Computational Social Networks 2015 2:5

    Published on: 14 March 2015

  2. Research

    Long-range degree correlations in complex networks

    Social networks are often degree correlated between nearest neighbors, an effect termed homophily, wherein individuals connect to nearest neighbors of similar connectivity. Whether friendships or other associa...

    Michael Mayo, Ahmed Abdelzaher and Preetam Ghosh

    Computational Social Networks 2015 2:4

    Published on: 4 March 2015

  3. Research

    Power and loyalty defined by proximity to influential relations

    This paper examines a simple definition of power as a composite centrality being the composition of eigenvector centrality and edge betweeness. Various centralities related to the composition are compared on s...

    Dror Fidler

    Computational Social Networks 2015 2:2

    Published on: 24 February 2015

  4. Research

    A strategic model for network formation

    We study the dynamics of a game-theoretic network formation model that yields large-scale small-world networks. So far, mostly stochastic frameworks have been utilized to explain the emergence of these network...

    Omid Atabati and Babak Farzad

    Computational Social Networks 2015 2:1

    Published on: 15 February 2015

  5. Research

    A partner-matching framework for social activity communities

    A lot of daily activities require more than one person to participate and collaborate with each other; however, for many people, it is not easy to find good partners to engage in activities with one another. W...

    Chunyu Ai, Wei Zhong, Mingyuan Yan and Feng Gu

    Computational Social Networks 2014 1:5

    Published on: 3 December 2014

  6. Research

    A robust information source estimator with sparse observations

    In this paper, we consider the problem of locating the information source with sparse observations. We assume that a piece of information spreads in a network following a heterogeneous susceptible-infected-rec...

    Kai Zhu and Lei Ying

    Computational Social Networks 2014 1:3

    Published on: 15 October 2014

  7. Research

    Influence-based community partition for social networks

    Community partition is of great importance in sociology, biology and computer science. Due to the exponentially increasing amount of social network applications, a fast and accurate method is necessary for com...

    Zaixin Lu, Yuqing Zhu, Wei Li, Weili Wu and Xiuzhen Cheng

    Computational Social Networks 2014 1:1

    Published on: 15 October 2014

  8. Research

    Exploiting social features for improving cognitive radio infrastructures and social services via combined MRF and back pressure cross-layer resource allocation

    The observed unbalance of spectrum utilization combined with the proliferation of wireless devices and the growth of online social networks call for a joint study of cognitive radios (CRs) and social networkin...

    Evangelos Anifantis, Eleni Stai, Vasileios Karyotis and Symeon Papavassiliou

    Computational Social Networks 2014 1:4

    Published on: 15 October 2014

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