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Towards multi-ego-centred communities

A Node Similarity Approach

Bibliographic Data

ID7516772
AuthorsMaximilien Danisch (corresponding author), Jean‐Loup Guillaume (0000-0002-4615-1563), Jean Loup Guillaume, Bénédicte Le Grand
Year2013
Volume9
Issue3
Pages299-299
Publication date2013-01-01
Open AccessNo
TypeARTICLE
VenueInternational Journal of Web Based Communities (JOURNAL)
Journal identifiersISSN: 1477-8394 • E-ISSN: 1741-8216
PublisherInderscience Publishers (PUBLISHER • GB)
DOI10.1504/ijwbc.2013.054906
OpenAlexW2170718884
LanguageEN
Citations received1
References cited2

In this paper, we investigate the notion of ego-centred community structure, i.e., the community structure around a given node. We propose a new similarity measure between nodes based on opinion dynamics to study such a structure. We call it the carryover opinion. In addition to be parameter-free, the carryover opinion can be calculated in a very time-efficient way and can thus be used in very large graphs. We also go further in the idea of ego-centred communities by introducing the new concept of multi-ego-centred communities, i.e., focusing on the communities around a set of nodes rather than around a single node. A key idea is that, although one node generally belongs to numerous communities, a small set of appropriate nodes can fully characterise a single community

Combinatorics · Community structure · Computer security · Data mining · Id, ego and super-ego · Key (lock · Measure (data warehouse · Node (physics · Set (abstract data type · Similarity (geometry · Sociology · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology · Artificial Intelligence · Theoretical Computer Science

  • Multi-ego-centered communities in practice

    Open Access•Maximilien Danisch, Jean-Loup Guillaume et al.•Social Network Analysis and Mining•2014

  • Fast unfolding of communities in large networks

    Open Access•Vincent D Blondel, Jean-Loup Guillaume et al.•Journal of Statistical Mechanics:…•2008

Citations per year0.08
Citation span2014 - 2014 (1)
Highly citedNo

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