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Predicting Group Choices from Group Profiles
To this end, the aim of this paper is to validate the research hypothesis that, by using a machine learning approach and a data set of observed group choices, it is possible to predict a group's final choice, better than by using a standard preference aggregation strategy.
Presenting a Dataset for Collaborator Recommending Systems in Academic Social Network: a Case Study on ReseachGate
After preparing data and evaluating the collaborator finding models, we have done some assessments on RGRS.
A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)
We extracted structural attribute of networks, using node2vec, and compared it with state-of-the-art algorithms, and showed its accuracy.
Social and Information Networks Physics and Society
