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Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network

  • Bo Yan
  • Yang Chen
  • Jiamou LiuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10569)

Abstract

Interpersonal relations facilitate information flow and give rise to positional advantage of individuals in a social network. We ask the question: How would an individual build relations with members of a dynamic social network in order to arrive at a central position in the network? We formalize this question using the dynamic network building problem. Two strategies stand out to solve this problem: The first directs the individual to exploit their social proximity by linking to nodes that are close-by, while the second tries its best to explore distant regions of the network. We evaluate and contrast these two strategies with respect to edge- and distance-based cost metrics, as well as other structural properties such as embeddedness and clustering coefficient. Experiments are performed on models of dynamic random graphs and real-world data sets. We then discuss and test ways that combine these two strategies.

Keywords

Dynamic social networks Interpersonal ties Network evolution Centrality Exploitation-exploration tradeoff 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Beijing Institute of TechnologyBeijingChina
  2. 2.University of AucklandAucklandNew Zealand

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