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IDA
2009
Springer

Mining the Temporal Dimension of the Information Propagation

9 years 8 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possible related topics, the study of the information propagation in a network attracted the interest of many researchers, also from the industrial world. However, only a few answers to the questions "How does the information propagates over a network, why and how fast?" have been discovered so far. On the other hand, these answers are of large interest, since they help in the tasks of finding experts in a network, assessing viral marketing strategies, identifying fast or slow paths of the information inside a collaborative network. In this paper we study the problem of finding frequent patterns in a network with the help of two different techniques: TAS (Temporally Annotated Sequences) mining, aimed at extracting sequential patterns where each transition between two events is annotated with a typical tran...
Michele Berlingerio, Michele Coscia, Fosca Giannot
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where IDA
Authors Michele Berlingerio, Michele Coscia, Fosca Giannotti
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