Conference proceeding
A Spectral Analysis Approach for Social Media Community Detection
SOCIAL INFORMATICS, v 6984, pp 127-134
01 Jan 2011
Abstract
Online forums are ideal platforms for worldwide Internet users to share ideas, raise discussions and disseminate information. It is of great interest to gain a better understanding on the dynamic of user interactions and identify user communities in online forums. In this paper, we propose a temporal coherence analysis approach to detect user communities in online forum. Users are represented by vectors of activeness and communities are extracted by a soft community detection algorithm with the support of spectral analysis.
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Details
- Title
- A Spectral Analysis Approach for Social Media Community Detection
- Creators
- Xuning Tang - Drexel UniversityChristopher C. Yang - Drexel UniversityXiajing Gong - Drexel University
- Contributors
- A Datta (Editor)S Shulman (Editor)B Zheng (Editor)S D Lin (Editor)A Sun (Editor)E P Lim (Editor)
- Publication Details
- SOCIAL INFORMATICS, v 6984, pp 127-134
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000303792600017
- Scopus ID
- 2-s2.0-80054074448
- Other Identifier
- 991019170480404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods