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Journal Articles Social Network Analysis and Mining Year : 2015

What effects topological changes in dynamic graphs?

Mehdi Kaytoue
Yoann Pitarch
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Marc Plantevit
Céline Robardet


To describe the dynamics taking place in networks that structurally change over time, we propose an approach to search for vertex attributes whose value changes impact the topology of the graph. In several applications, it appears that the variations of a group of attributes are often followed by some structural changes in the graph that one may assume they generate. We formalize the triggering pattern discovery problem as a method jointly rooted in sequence mining and graph analysis. We apply our approach on three real-world dynamic graphs of different natures – a co-authoring network, an airline network, and a social bookmarking system – assessing the rele-vancy of the triggering pattern mining approach.
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hal-01221698 , version 1 (28-10-2015)



Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet. What effects topological changes in dynamic graphs?: Elucidating relationships between vertex attributes and the graph structure. Social Network Analysis and Mining, 2015, 5 (55), pp.55:1--55:17. ⟨10.1007/s13278-015-0294-9⟩. ⟨hal-01221698⟩
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