Detection of Hidden Communities in Twitter Discussions of Varying Volumes
The community-based structure of communication on social networking sites has long been a focus of scholarly attention. However, the problem of discovery and description of hidden communities, including defining the proper level of user aggregation, remains an important problem not yet resolved. Stu...
Main Authors: | Ivan Blekanov, Svetlana S. Bodrunova, Askar Akhmetov |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/13/11/295 |
Similar Items
-
Evaluation of Community Detection by Improving Influence Nodes in Complex Networks Using InfoMap with Sigmoid Fish Swarm Optimization Algorithm
by: Devi Selvaraj, et al.
Published: (2022-12-01) -
Cluster-N-Engage: A New Framework for Measuring User Engagement of Website With User Navigational Behavior
by: Zhou-Yi Lim, et al.
Published: (2023-01-01) -
Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap
by: Daniel Edler, et al.
Published: (2017-09-01) -
Chronological states of viewer’s intentions using hidden Markov models and features of eye movement
by: Minoru Nakayama, et al.
Published: (2014-09-01) -
Tracking Attention of Social Media Event by Hidden Markov Model–Cases from Sina Weibo
by: Yinghong Ma, et al.
Published: (2021-01-01)