User fluctuation in communities: a forum case
Social and Information Networks
2016-10-04 v1 Physics and Society
Abstract
Understanding fluctuation of users help stakeholders to provide a better support to communities. Below we present an experiment where we detect communities, their evolution and based on the data characterize users that stay, leave or join a community. Using a resulted feature set and logistic regression we operate with models of users that are joining and users that are staying in a community. In the related work we emphasize a number of features we will include in our future experiments to enhance train accuracy. This work represents a first from a series of experiments devoted to user fluctuation in communities.
Cite
@article{arxiv.1606.06509,
title = {User fluctuation in communities: a forum case},
author = {Zinayida Petrushyna},
journal= {arXiv preprint arXiv:1606.06509},
year = {2016}
}