Physics – Physics and Society
Scientific paper
2008-05-26
Adaptive networks: Theory, models and applications, Thilo Gross and Hiroki Sayama, eds., (Springer, Berlin, 2009), pp. 269-288
Physics
Physics and Society
Submitted to Adaptive Networks: Theory, Models and Applications, to be published from Springer
Scientific paper
10.1007/978-3-642-01284-6_13
Closeness is a global measure of centrality in networks, and a proxy for how influential actors are in social networks. In most network models, and many empirical networks, closeness is strongly correlated with degree. However, in social networks there is a cost of maintaining social ties. This leads to a situation (that can occur in the professional social networks of executives, lobbyists, diplomats and so on) where agents have the conflicting objectives of aiming for centrality while simultaneously keeping the degree low. We investigate this situation in an adaptive network-evolution model where agents optimize their positions in the network following individual strategies, and using only local information. The strategies are also optimized, based on the success of the agent and its neighbors. We measure and describe the time evolution of the network and the agents' strategies.
Ghoshal Gourab
Holme Petter
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