Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/23552
Author(s): | Pereira, L. R. Lopes, R. J. Louçã, J. |
Date: | 1-Jan-2019 |
Title: | A taxonomy of community lifecycle events in temporal networks |
Pages: | 184 - 188 |
Event title: | IEEE 4th World Conference on Complex Systems (WCCS) |
ISBN: | 978-1-7281-1232-9 |
DOI (Digital Object Identifier): | 10.1109/ICoCS.2019.8930777 |
Keywords: | Complex systems Networks Clustering |
Abstract: | Communities are one of the most important struc- tural elements of a network. They frequently influence network behavior, which makes their identification especially useful. As a result, community detection has been a popular topic within network science in recent decades. Even more recently, fostered by an increasing availability of time stamped datasets and a pressing realization that most empiric networks are dynamic in nature, temporal networks have attracted increased attention. The time dimension introduces new network constructs and communities are not immune. A community is no longer just a bunch of fixed nodes tightly clustered, but have a life and activity of itself, shedding and gaining nodes, appearing and disappearing on the network. We believe that these dynamic constructs are still lacking a formal, consensual definition. In this article we propose a robust taxonomy of life events for communities and a rules based methodology to clearly parse these events. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais IT-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
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article_61636.pdf | Versão Aceite | 9,66 MB | Adobe PDF | View/Open |
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