Abstract
In the last decades, much research has been devoted in topics related to Social Network Analysis. One important direction in this area is to analyze the temporal evolution of a network. So far, previous approaches analyzed this setting at both the global and the local level. In this paper, we focus on finding a way to detect temporal eras in an evolving network. We pose the basis for a general framework that aims at helping the analyst in browsing the temporal clusters both in a topdown and bottom-up way, exploring the network at any level of temporal details. We show the effectiveness of our approach on real data, by applying our proposed methodology to a coauthorship network extracted from a bibliographic dataset. Our first results are encouraging, and open the way for the definition and implementation of a general framework for discovering eras in evolving social networks.
Original language | English |
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Title of host publication | ICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops |
Pages | 278-281 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010 - Long Beach, CA, United States Duration: 1 Mar 2010 → 6 Mar 2010 |
Conference
Conference | 2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010 |
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Country/Territory | United States |
City | Long Beach, CA |
Period | 1/03/10 → 6/03/10 |