Coevolutionary modeling in network formation

Abstract
Network coevolution, the process of network topology evolution in feedback with dynamical processes over the network nodes, is a common feature of many engineered and natural networks. In such settings, the change in network topology occurs at a comparable time scale to nodal dynamics. Coevolutionary modeling offers the possibility to better understand how and why network structures emerge. For example, social networks can exhibit a variety of structures, ranging from almost uniform to scale-free degree distributions. While current models of network formation can reproduce these structures, coevolutionary modeling can offer a better understanding of the underlying dynamics. This paper presents an overview of recent work on coevolutionary models of network formation, with an emphasis on the following three settings: (i) dynamic flow of benefits and costs, (ii) transient link establishment costs, and (iii) latent preferential attachment.

Citation
Al-Shyoukh, I., Chasparis, G., & Shamma, J. S. (2014). Coevolutionary modeling in network formation. 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). doi:10.1109/globalsip.2014.7032213

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

Conference/Event Name
2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

DOI
10.1109/GlobalSIP.2014.7032213

Additional Links
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7032213

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