Inferring binary trust relationships in Web-based social networks Export

@article{citeulike:970083, abstract = {The growth of Web-based social networking and the properties of those networks have created great potential for producing intelligent software that integrates a user's social network and preferences. Our research looks particularly at assigning trust in Web-based social networks and investigates how trust information can be mined and integrated into applications. This article introduces a definition of trust suitable for use in Web-based social networks with a discussion of the properties that will influence its use in computation. We then present two algorithms for inferring trust relationships between individuals that are not directly connected in the network. Both algorithms are shown theoretically and through simulation to produce calculated trust values that are highly accurate.. We then present TrustMail, a prototype email client that uses variations on these algorithms to score email messages in the user's inbox based on the user's participation and ratings in a trust network.}, address = {New York, NY, USA}, author = {Golbeck, Jennifer and Hendler, James}, citeulike-article-id = {970083}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1183463.1183470}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1183463.1183470}, doi = {10.1145/1183463.1183470}, issn = {1533-5399}, journal = {ACM Trans. Internet Technol.}, keywords = {blogmate, blognet}, month = {November}, number = {4}, pages = {497--529}, posted-at = {2006-12-01 08:45:58}, priority = {2}, publisher = {ACM}, title = {Inferring binary trust relationships in Web-based social networks}, url = {http://dx.doi.org/10.1145/1183463.1183470}, volume = {6}, year = {2006} }

TY - JOUR ID - citeulike:970083 L3 - citeulike-article-id:970083 N2 - The growth of Web-based social networking and the properties of those networks have created great potential for producing intelligent software that integrates a user's social network and preferences. Our research looks particularly at assigning trust in Web-based social networks and investigates how trust information can be mined and integrated into applications. This article introduces a definition of trust suitable for use in Web-based social networks with a discussion of the properties that will influence its use in computation. We then present two algorithms for inferring trust relationships between individuals that are not directly connected in the network. Both algorithms are shown theoretically and through simulation to produce calculated trust values that are highly accurate.. We then present TrustMail, a prototype email client that uses variations on these algorithms to score email messages in the user's inbox based on the user's participation and ratings in a trust network. IS - 4 JF - ACM Trans. Internet Technol. SN - 1533-5399 AD - New York, NY, USA EP - 529 TI - Inferring binary trust relationships in Web-based social networks PB - ACM VL - 6 SP - 497 KW - blogmate KW - blognet AU - Golbeck, Jennifer AU - Hendler, James PY - 2006/11// UR - http://dx.doi.org/10.1145/1183463.1183470 ER -