Difference between revisions of "Predicting Trust in Wikipedia’s Vote Network Using Social Networks Measures"
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| − | '''Predicting Trust in Wikipedia’s Vote Network Using Social Networks Measures''' - scientific work related to Wikipedia quality published in 2017, written by J. David Nuñez-Gonzalez and Manuel Graña. | + | '''Predicting Trust in Wikipedia’s Vote Network Using Social Networks Measures''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[J. David Nuñez-Gonzalez]] and [[Manuel Graña]]. |
== Overview == | == Overview == | ||
| − | Predicting trust is an emerging topic in Social Networks research area. This problem tries to guess wheter an actor should trust another actor or not. The information used for this prediction can be extracted from different sources, such as the user profile, information extracted from the Web of Trust (WoT). The WoT contains the user explicit trust declarations about trust and distrust opinions about other actors (trustees). Authors propose a trust prediction experiment building features based on social | + | Predicting trust is an emerging topic in Social Networks research area. This problem tries to guess wheter an actor should trust another actor or not. The information used for this prediction can be extracted from different sources, such as the user profile, information extracted from the Web of Trust (WoT). The WoT contains the user explicit trust declarations about trust and distrust opinions about other actors (trustees). Authors propose a trust prediction experiment building [[features]] based on [[social network]]s [[measures]] to train different classifiers. Those features are extracted from the involved actors. |
Revision as of 07:24, 29 August 2019
Predicting Trust in Wikipedia’s Vote Network Using Social Networks Measures - scientific work related to Wikipedia quality published in 2017, written by J. David Nuñez-Gonzalez and Manuel Graña.
Overview
Predicting trust is an emerging topic in Social Networks research area. This problem tries to guess wheter an actor should trust another actor or not. The information used for this prediction can be extracted from different sources, such as the user profile, information extracted from the Web of Trust (WoT). The WoT contains the user explicit trust declarations about trust and distrust opinions about other actors (trustees). Authors propose a trust prediction experiment building features based on social networks measures to train different classifiers. Those features are extracted from the involved actors.
