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Quantitative Biology > Populations and Evolution

arXiv:q-bio/0512014 (q-bio)
[Submitted on 6 Dec 2005 (v1), last revised 8 Dec 2005 (this version, v2)]

Title:Dynamics of networking agents competing for high centrality and low degree

Authors:Petter Holme, Gourab Ghoshal
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Abstract: We model a system of networking agents that seek to optimize their centrality in the network while keeping their cost, the number of connections they are participating in, low. Unlike other game-theory based models for network evolution, the success of the agents is related only to their position in the network. The agents use strategies based on local information to improve their chance of success. Both the evolution of strategies and network structure are investigated. We find a dramatic time evolution with cascades of strategy change accompanied by a change in network structure. On average the network self-organizes to a state close to the transition between a fragmented state and a state with a giant component. Furthermore, with increasing system size both the average degree and the level of fragmentation decreases. We also observe that the network keeps on actively evolving, although it does not have to, thus suggesting a Red Queen-like situation where agents have to keep on networking and responding to the moves of the others in order to stay successful.
Comments: v2: Fig. 3 fixed
Subjects: Populations and Evolution (q-bio.PE); Disordered Systems and Neural Networks (cond-mat.dis-nn); Physics and Society (physics.soc-ph)
Cite as: arXiv:q-bio/0512014 [q-bio.PE]
  (or arXiv:q-bio/0512014v2 [q-bio.PE] for this version)
  https://doi.org/10.48550/arXiv.q-bio/0512014
Journal reference: Phys. Rev. Lett. 96, 098701 (2006)
Related DOI: https://doi.org/10.1103/PhysRevLett.96.098701

Submission history

From: Petter Holme [view email]
[v1] Tue, 6 Dec 2005 22:27:16 UTC (172 KB)
[v2] Thu, 8 Dec 2005 16:16:31 UTC (172 KB)
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