Feedback between node and network dynamics can produce real-world network properties

Real-world networks are characterized by common features, including among others a scale-free degree distribution, a high clustering coefficient and a short typical distance between nodes. These properties are usually explained by the dynamics of edge and node addition and deletion.

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Year of publication:	2012
Authors:	Brot, Hilla ; Muchnik, Lev ; Goldenberg, Jacob ; Louzoun, Yoram
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 391.2012, 24, p. 6645-6654
Publisher:	Elsevier
Subject:	Social networks \| Neural networks \| Stochastic processes \| Scale-free \| Hebbian learning

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010590440