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  1. Research

    Co-evolutionary dynamics in social networks: a case study of Twitter

    Complex networks often exhibit co-evolutionary dynamics, meaning that the network topology and the state of nodes or links are coupled, affecting each other in overlapping time scales. We focus on the co-evolu...

    Demetris Antoniades and Constantine Dovrolis

    Computational Social Networks 2015 2:14

    Published on: 31 July 2015

  2. Research

    The role of competitiveness in the Prisoner’s Dilemma

    Competitiveness is a relevant social behavior and in several contexts, from economy to sport activities, has a fundamental role. We analyze this social behavior in the domain of evolutionary game theory, using...

    Marco A Javarone and Antonio E Atzeni

    Computational Social Networks 2015 2:15

    Published on: 31 July 2015

  3. Research

    Distribution and dependence of extremes in network sampling processes

    We explore the dependence structure in the sampled sequence of complex networks. We consider randomized algorithms to sample the nodes and study extremal properties in any associated stationary sequence of cha...

    Konstantin Avrachenkov, Natalia M. Markovich and Jithin K. Sreedharan

    Computational Social Networks 2015 2:12

    Published on: 22 July 2015

  4. Research

    Network approach to internet bandwidth distributions

    This study examines the communications networks formed by direct international Internet links, weighted by bandwidth capacity, each year over the 2002–2011 period. Specifically, we analyze changes in bandwidth...

    Hyunjin Seo and Stuart Thorson

    Computational Social Networks 2015 2:11

    Published on: 19 July 2015

  5. Research

    Sentiment leaning of influential communities in social networks

    Social media and social networks contribute to shape the debate on societal and policy issues, but the dynamics of this process is not well understood. As a case study, we monitor Twitter activity on a wide ra...

    Borut Sluban, Jasmina Smailović, Stefano Battiston and Igor Mozetič

    Computational Social Networks 2015 2:9

    Published on: 14 July 2015

  6. Research

    Classifying latent infection states in complex networks

    Algorithms for identifying the infection states of nodes in a network are crucial for understanding and containing epidemics and cascades. Often, however, only the infection states of a small set of nodes are ...

    Yeon-sup Lim, Bruno Ribeiro and Don Towsley

    Computational Social Networks 2015 2:8

    Published on: 21 April 2015

  7. Research

    Efficient network generation under general preferential attachment

    Preferential attachment (PA) models of network structure are widely used due to their explanatory power and conceptual simplicity. PA models are able to account for the scale-free degree distributions observed...

    James Atwood, Bruno Ribeiro and Don Towsley

    Computational Social Networks 2015 2:7

    Published on: 15 April 2015

  8. Research

    Efficiently identifying critical nodes in large complex networks

    The critical node detection problem (CNDP) aims to fragment a graph G=(V,E) by removing a set of vertices R with cardinality |R|≤k, such that the residual graph has minimum pairwise connectivity for user-defined ...

    Mario Ventresca and Dionne Aleman

    Computational Social Networks 2015 2:6

    Published on: 28 March 2015

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

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