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Social network growth with assortative mixing

Author

Listed:
  • Catanzaro, Michele
  • Caldarelli, Guido
  • Pietronero, Luciano

Abstract

Networks representing social systems display specific features that put them apart from biological and technological ones. In particular, the number of links attached to a node is positively correlated to that of its nearest neighbours. We develop a model that reproduces this feature, starting from microscopical mechanisms of growth. The statistical properties arising from the simulations are in good agreement with those of the real-world social networks of scientists co-authoring papers in condensed matter physics. Moreover, the model highlights the determinant role of correlations in shaping the network's topology.

Suggested Citation

  • Catanzaro, Michele & Caldarelli, Guido & Pietronero, Luciano, 2004. "Social network growth with assortative mixing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 119-124.
  • Handle: RePEc:eee:phsmap:v:338:y:2004:i:1:p:119-124
    DOI: 10.1016/j.physa.2004.02.033
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    Citations

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    Cited by:

    1. Li, Jianyu & Zhou, Jie & Luo, Xiaoyue & Yang, Zhanxin, 2012. "Chinese lexical networks: The structure, function and formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5254-5263.
    2. Li, Jianyu & Zhou, Jie, 2007. "Chinese character structure analysis based on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 629-638.
    3. Alves, Nelson Augusto & Martinez, Alexandre Souto, 2007. "Inferring topological features of proteins from amino acid residue networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(1), pages 336-344.
    4. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    5. Victor Bucheli & Adriana Díaz & Juan Pablo Calderón & Pablo Lemoine & Juan Alejandro Valdivia & José Luis Villaveces & Roberto Zarama, 2012. "Growth of scientific production in Colombian universities: an intellectual capital-based approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 369-382, May.
    6. Cai, Meng & Wang, Wei & Cui, Ying & Stanley, H. Eugene, 2018. "Multiplex network analysis of employee performance and employee social relationships," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1-12.

    More about this item

    Keywords

    Social networks; Assortativity;

    Statistics

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