Community evolution in retweet networks
- URL: http://arxiv.org/abs/2105.06214v2
- Date: Thu, 2 Sep 2021 08:44:19 GMT
- Title: Community evolution in retweet networks
- Authors: Bojan Evkoski, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak
- Abstract summary: We propose an approach that tracks two aspects of community evolution in retweet networks: flow of the members in, out and between the communities, and their influence.
For community detection, we propose a two-stage approach. In the first stage, we apply an enhanced Louvain algorithm, called Ensemble Louvain, to find stable communities.
For the detected communities, we compute internal and external influence, and for individual users, the retweet h-index influence.
- Score: 0.45880283710344055
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Communities in social networks often reflect close social ties between their
members and their evolution through time. We propose an approach that tracks
two aspects of community evolution in retweet networks: flow of the members in,
out and between the communities, and their influence. We start with high
resolution time windows, and then select several timepoints which exhibit large
differences between the communities. For community detection, we propose a
two-stage approach. In the first stage, we apply an enhanced Louvain algorithm,
called Ensemble Louvain, to find stable communities. In the second stage, we
form influence links between these communities, and identify linked
super-communities. For the detected communities, we compute internal and
external influence, and for individual users, the retweet h-index influence. We
apply the proposed approach to three years of Twitter data of all Slovenian
tweets. The analysis shows that the Slovenian tweetosphere is dominated by
politics, that the left-leaning communities are larger, but that the
right-leaning communities and users exhibit significantly higher impact. An
interesting observation is that retweet networks change relatively gradually,
despite such events as the emergence of the Covid-19 pandemic or the change of
government.
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