We present a new model of the evolutionary dynamics and the growth of on-line social networks. The model emulates people’s strategies for acquiring information in social networks, emphasising the local subjective view of an individual and what kind of information the individual can acquire when arriving in a new social context. The model proceeds through two phases: (a) a discovery phase, in which the individual becomes aware of the surrounding world and (b) an elaboration phase, in which the individual elaborates locally the information trough a cognitive-inspired algorithm. Model generated networks reproduce main features of both theoretical and real-world networks, such as high clustering coefficient, low characteristic path length, strong division in communities, and variability of degree distributions.

Impact of local information in growing networks / E. Massaro; H. Olsson; A. Guazzini; F. Bagnoli. - STAMPA. - (2013), pp. 14-26. (Intervento presentato al convegno WIWACE 2013 tenutosi a Milano).

Impact of local information in growing networks.

MASSARO, EMANUELE;GUAZZINI, ANDREA;BAGNOLI, FRANCO
2013

Abstract

We present a new model of the evolutionary dynamics and the growth of on-line social networks. The model emulates people’s strategies for acquiring information in social networks, emphasising the local subjective view of an individual and what kind of information the individual can acquire when arriving in a new social context. The model proceeds through two phases: (a) a discovery phase, in which the individual becomes aware of the surrounding world and (b) an elaboration phase, in which the individual elaborates locally the information trough a cognitive-inspired algorithm. Model generated networks reproduce main features of both theoretical and real-world networks, such as high clustering coefficient, low characteristic path length, strong division in communities, and variability of degree distributions.
2013
Wivace 2013 - Italian Workshop on Artificial Life and Evolutionary Computation
WIWACE 2013
Milano
E. Massaro; H. Olsson; A. Guazzini; F. Bagnoli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/822749
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