An Extension of Social Network Group Decision-Making Based on TrustRank and Personas
- https://doi.org/10.2991/ijcis.d.200310.001How to use a DOI?
- Social network, PageRank, TrustRank, Persona, Social network group decision-making (SN-GDM)
With the development of social networking big data, social network group decision-making (SN-GDM) has been widely applied in many fields. This paper focuses on three main components: (1) the determination of the decision makers' (DMs) weights based on different social influence; (2) the anti-deception mechanism; and (3) the persona method. We introduce the TrustRank algorithm and the persona method into SN-GDM. Based on the TrustRank algorithm, both trusted and deceptive DMs in a seed set are artificially identified and given initial static scores to derive the influence of each DM. Additionally, the persona method is introduced to cluster DMs and achieve personalized decision-making. Further, we present a numerical example and comparison to demonstrate the efficiency of the framework in coping with non-socially shared preferences in SN-GDM. As expected, our findings indicate that our framework reduces the influence of deceptive DMs on the decision results.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Mei Cai AU - Yiming Wang AU - Zaiwu Gong PY - 2020 DA - 2020/03 TI - An Extension of Social Network Group Decision-Making Based on TrustRank and Personas JO - International Journal of Computational Intelligence Systems SP - 332 EP - 340 VL - 13 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.200310.001 DO - https://doi.org/10.2991/ijcis.d.200310.001 ID - Cai2020 ER -