Name
Abstract | ||
|---|---|---|
This paper considers a problem of selecting small number of important person from social networks. We applied skyline query for selecting the key person of social network. Skyline query selects persons from social network those are not dominated by another person. Different from general skyline query, selecting key person from social networks is more complicated because we need to consider different metrics of social network. In addition, social networks is a container of massive data and each and every hour it is increasing in gigantic amount. It is the collective of online communications channels dedicated to community-based input, interaction, content-sharing, and collaboration. We use MapReduce framework to speed up the computation and parallelism. An extensive set of experiments shows that the analysis of social activities, social relationships, and socially shared contents helps to find key person. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CANDAR.2015.84 | CANDAR |
Keywords | Field | DocType |
Social networks, Key person, Skyline query, MapReduce | Skyline,Social relationship,World Wide Web,Social network,Information retrieval,Key person insurance,Computer science,Communication channel,Speedup,Computation | Conference |
ISSN | Citations | PageRank |
2379-1888 | 1 | 0.35 |
References | Authors | |
20 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asif Zaman | 1 | 6 | 5.16 |
| Md. Anisuzzaman Siddique | 2 | 30 | 8.47 |
| annisa | 3 | 4 | 2.77 |
| Yasuhiko Morimoto | 4 | 528 | 341.88 |