Abstract | ||
---|---|---|
Scientific documents, research instruments, researchers' abilities and co-operation among researchers are fundamental resources of scientific research. This paper proposes an approach for effectively networking scientific resources by detecting community structures in self-organized social network, discovering interest in information flow, capturing changes of interests over time and analyzing the relationship between peers. Copyright (c) 2006 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1002/cpe.1094 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
e-Science, information flow, information sharing, Knowledge Grid | Journal | 19 |
Issue | ISSN | Citations |
7 | 1532-0626 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hai Zhuge | 1 | 2155 | 159.14 |
Lianhong Ding | 2 | 11 | 4.98 |
Xiang Li | 3 | 145 | 12.11 |