Title :
A Link Prediction Algorithm Based on Trust and Similar Tag
Author :
Yu Jiankun ; Fan Sili
Author_Institution :
Sch. of Inf., Yunnan Univ. of Finance & Econ., Kunming, China
Abstract :
The most similarity algorithm does not fully consider the network topology information, the paper design a calculation method of similarity, it takes the interrelation of nodes´ tag and the text similarity of tag into account, most of trust calculation method is always treat all the nodes equally in the network, while ignoring the itself characteristics of each network node, and some trust computation method has certain subjectivity, This paper proposes a new method of calculating trust, finally, this paper presents a link prediction algorithm based on trust and similar tag (TAST).
Keywords :
security of data; social networking (online); TAST; link prediction algorithm; network topology information; social networking sites; text similarity; trust and similar tag; trust calculation method; Algorithm design and analysis; Computational modeling; Educational institutions; Equations; Mathematical model; Prediction algorithms; Social network services; link prediction; similarity; trust;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
DOI :
10.1109/ICMeCG.2014.30
