impact of local information in growing networks
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ID: 257708
2013
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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.
| Reference Key |
guazzini2013electronicimpact
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|---|---|
| Authors | ;Andrea Guazzini;Franco Bagnoli;Henrik Olsson;Emanuele Massaro |
| Journal | ama journal of ethics |
| Year | 2013 |
| DOI |
10.4204/EPTCS.130.8
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| URL | |
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