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On the use of intrinsic time scale for dynamic community detection and visualization in social networks
2014
2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)
The analysis of social networks is a challenging research area, in particular because of their dynamic features. In this paper, we study such evolving graphs through the evolution of their community structure. More specifically, we build on existing approaches for the identification of stable communities over time. This paper presents two contributions. We first propose a new way to compute such stable communities, using a different time scale, called intrinsic time. This intrinsic time is
doi:10.1109/rcis.2014.6861033
dblp:conf/rcis/AlbanoGG14
fatcat:gromjnp3grgwxirvnnfuwopdv4