Name
Abstract | ||
|---|---|---|
In the academic context, scientific research works are often performed through collaboration and cooperation between researchers and research groups. Researchers work in various subjects and in several research areas. Identifying new partners to execute joint research and analyzing the level of cooperation of the current partners can be very complex tasks. Recommendation of new collaborations may be a valuable tool for reinforcing and discovering such partners. This paper presents an innovative approach to recommend collaborations on the context of academic Social Networks. Specifically, we introduce the architecture for such approach and the metrics involved in recommending collaborations. We also present an initial case study to validate our approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16385-2_24 | ER Workshops |
Keywords | Field | DocType |
new partner,scientific research work,new collaboration,innovative approach,academic social networks,academic context,academic social network,complex task,research area,collaboration recommendation,research group,joint research,social network,scientific research | Recommender system,Architecture,Social network,Computer science,Social network analysis,Knowledge management,Digital library,Scientific method | Conference |
Volume | ISSN | ISBN |
6413 | 0302-9743 | 3-642-16384-X |
Citations | PageRank | References |
28 | 1.39 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giseli Rabello Lopes | 1 | 107 | 16.44 |
| Mirella M. Moro | 2 | 470 | 57.48 |
| Leandro Krug Wives | 3 | 238 | 25.10 |
| José Palazzo Moreira de Oliveira | 4 | 189 | 27.74 |