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Social networks: Evolving graphs with memory dependent edges

Abstract:

The plethora of digital communication technologies, and their mass take up, has resulted in a wealth of interest in social network data collection and analysis in recent years. Within many such networks the interactions are transient: thus those networks evolve over time. In this paper we introduce a class of models for such networks using evolving graphs with memory dependent edges, which may appear and disappear according to their recent history. We consider time discrete and time continuou...

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Publisher copy:
10.1016/j.physa.2011.06.015

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Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Inst
Role:
Author
Journal:
Physica A: Statistical Mechanics and its Applications
Volume:
390
Issue:
21-22
Pages:
3970-3981
Publication date:
2011-10-15
DOI:
ISSN:
0378-4371
URN:
uuid:d455baa6-74e0-4ad5-be3d-0ee5665468d5
Source identifiers:
405493
Local pid:
pubs:405493

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