Title :
T-SWEETS: An Alternative to the Stimulus Collaboration from Trust Inference in Social Networks
Author :
Silva, Edeilson Milhomem ; Rodrigues, Diego Oliveira ; Gomes de Souza, Jackson ; Salgado, Ana Carolina ; Meira, Silvio Romero Lemos
Author_Institution :
Dept. de Comput., Centro Univ. Luterano de Palmas, Palmas, Brazil
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.
Keywords :
inference mechanisms; information dissemination; knowledge management; recommender systems; social networking (online); trusted computing; T-SWEETS; knowledge dissemination; knowledge management; recommender systems; social networks; stimulus collaboration; trust inference; Abstracts; Algorithm design and analysis; Collaboration; Knowledge engineering; Knowledge management; Recommender systems; Social network services; algorithm; colaboration; social networks; trust;
Conference_Titel :
Collaborative Systems (SBSC), 2012 Brazilian Symposium on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4673-4696-2
DOI :
10.1109/SBSC.2012.28