Sep 23, 2018 · In this study, we investigate the community detection problem in Facebook newsgroup pages. In particular, to deal with the diversity of user ...
Nov 21, 2024 · In this study, we investigate the community detection problem in Facebook newsgroup pages. In particular, to deal with the diversity of user ...
In this study, we explore the community structure in Facebook public pages. The results show that our method can effectively reduce isolates and improve the ...
Jul 11, 2019 · In this paper, we propose to model Facebook page as a weighted graph that is generated by two views (posts and comments). Then we examine the ...
The results show that the method can effectively reduce isolates and improve the quality of community structure in Facebook newsgroup pages.
We investigate the correlation between the social network communities as defined by a community detection algorithm and the Facebook pages annotated as Likes by ...
Multi-view Community Detection in Facebook Public Pages ...
researchoutput.ncku.edu.tw › publications
In this study, we investigate the community detection problem in Facebook newsgroup pages. In particular, to deal with the diversity of user activities, we ...
People also ask
What information does the community section display on your Facebook page?
What is the purpose of community detection?
What is a community post in Facebook?
Is community detection machine learning?
In this study, we explore the community structure in Facebook public pages. The results show that our method can effectively reduce isolates and improve the ...
The very recent trend is to detect meaningful communities based on users' interactions or the activity network. However, in many of such studies, authors ...
Missing: Public | Show results with:Public
In this work we develop a novel multi-view fusion framework PERS that infers Myers-Briggs personality type indicators.