| Title | Measurement Theory-Based Trust Management Framework for Online Social Communities |
| Publication Type | Journal Article |
| Year of Publication | 2017 |
| Authors | Ruan, Yefeng, Zhang, Ping, Alfantoukh, Lina, Durresi, Arjan |
| Journal | ACM Trans. Internet Technol. |
| Volume | 17 |
| Pagination | 16:1–16:24 |
| Date Published | mar |
| ISSN | 1533-5399 |
| Keywords | Human Behavior, human trust, Measurement theory, online social communities, pubcrawl, trust inference operators, Trust management |
| Abstract | We propose a trust management framework based on measurement theory to infer indirect trust in online social communities using trust's transitivity property. Inspired by the similarities between human trust and measurement, we propose a new trust metric, composed of impression and confidence, which captures both trust level and its certainty. Furthermore, based on error propagation theory, we propose a method to compute indirect confidence according to different trust transitivity and aggregation operators. We perform experiments on two real data sets, Epinions.com and Twitter, to validate our framework. Also, we show that inferring indirect trust can connect more pairs of users. |
| URL | http://doi.acm.org/10.1145/3015771 |
| DOI | 10.1145/3015771 |
| Citation Key | ruan_measurement_2017 |
Measurement Theory-Based Trust Management Framework for Online Social Communities