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IDA
2009
Springer

Mining the Temporal Dimension of the Information Propagation

13 years 10 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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