Name
Title | ||
|---|---|---|
T-SWEETS: An Alternative to the Stimulus Collaboration from Trust Inference in Social Networks |
Abstract | ||
|---|---|---|
This paper presents a novel method to infer trustiness in social networks entitled T-SWEETS. It is also presents its application at Konnen, a knowledge management platform on social networks based. The features explored in T-SWEETS come from research done on related works from the literature and from an experiment development with a group of 34 people. T-SWEETS have been main purpose to act as an incentive to collaboration in social networks and, therefore, naturally increase the frequency of knowledge dissemination among the users. Thus, it provides background to others automated systems (e.g. recommender systems) and, therefore, the knowledge produced by these users can be explored more efficiently |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SBSC.2012.28 | SBSC |
Keywords | Field | DocType |
recommender systems,knowledge management,trusted computing | Recommender system,World Wide Web,Social network,Trusted Computing,Incentive,Inference,Computer science,Knowledge dissemination,Stimulus (physiology),Information Dissemination | Conference |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edeilson Milhomem da Silva | 1 | 3 | 1.47 |
| Diego Oliveira Rodrigues | 2 | 1 | 0.70 |
| Jackson Gomes | 3 | 1 | 1.38 |
| Ana Carolina Salgado | 4 | 360 | 51.76 |
| Silvio Romero de Lemos Meira | 5 | 739 | 76.59 |