Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/poster/13> ?p ?o. }
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- 13 creator cheng-te-li.
- 13 creator hsun-ping-hsieh.
- 13 creator man-kwan-shan.
- 13 creator shou-de-lin.
- 13 type InProceedings.
- 13 label "Finding Influential Seed Successors in Social Networks".
- 13 sameAs 13.
- 13 abstract "In a dynamic social network, nodes can be removed from the network for some reasons, and consequently affect the behaviors of the network. In this paper, we tackle the challenge of finding a successor node for each removed seed node to maintain the influence spread in the network. Given a social network and a set of seed nodes for influence maximization, the problem is to effectively choose successors to inherit the jobs of initial influence propagation when some seeds are removed from the network. To tackle this problem, we present and discuss five neighborhood-based selection heuristics, including degree, degree discount, overlapping, community bridge, and community degree. Experiments on DBLP co-authorship network show the effectiveness of devised heuristics.".
- 13 hasAuthorList authorList.
- 13 isPartOf proceedings.
- 13 isPartOf proceedings.
- 13 keyword "influence propagation".
- 13 keyword "social network".
- 13 keyword "successor nodes".
- 13 title "Finding Influential Seed Successors in Social Networks".