Exploiting Information Flow and Active Links for Link Prediction in Social Networks

Lankeshwara Munasinghe; Ryutaro Ichise

doi:10.11517/pjsai.JSAI2012.0_1K1IOS1a2

26th (2012)

セッションID: 1K1-IOS-1a-2

DOI https://doi.org/10.11517/pjsai.JSAI2012.0_1K1IOS1a2

会議情報

主催: The Japanese Society for Artificial Intelligence

会議名: 2012年度人工知能学会全国大会（第26回）

回次: 26

開催地: 山口県山口市山口県教育会館等

開催日: 2012/06/12 - 2012/06/15

Exploiting Information Flow and Active Links for Link Prediction in Social Networks

*Lankeshwara Munasinghe, Ryutaro Ichise

著者情報

会議録・要旨集フリー

詳細

抄録

Study of link evolution in social networks has become a vital research topic. In this paper, we will present the analytical details and results of the experiments we conducted to study the link evolution and information flow in social networks.

責任著者(Corresponding author)

会議情報

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