The Categorising Characteristics of Facebook Pages: Using the K-Means Grouping Method
- Pin Luarn
- Hong-Wen Lin
- Yu-Ping Chiu
- Yu-Liang Shyu
- Pei-Ching Lee
Abstract
This study conducts the K-means grouping analysis on 1,373 Facebook pages in order to find the difference and characteristics between groups, and furthermore attempt to understand the behavioural characteristics of Facebook page users. The study produces four clusters with different characteristics, all of which are named and defined according to their qualities. The four types of pages are the “functional video and audio informational pages,” “audio and video entertainment with low discussion pages,” “high-identifying celebrity pages”, and “food and travel with active discussion pages.” The result of this study not only provides a clear understanding of the grouping structure of Facebook pages, but also provides reference for fan page managers when constructing management strategies.- Full Text: PDF
- DOI:10.5539/ijbm.v11n2p60
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Google-based Impact Factor (2023): 0.86
h-index(2023): 152
i10-index(2023): 1168
Index
- Academic Journals Database
- ACNP
- AIDEA list (Italian Academy of Business Administration)
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- Berkeley Library
- CNKI Scholar
- COPAC
- EBSCOhost
- Electronic Journals Library
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- GETIT@YALE (Yale University Library)
- IBZ Online
- JournalTOCs
- Library and Archives Canada
- LOCKSS
- MIAR
- National Library of Australia
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ROAD
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- Universe Digital Library
- UoS Library
- WorldCat
- ZBW-German National Library of Economics
Contact
- Stephen LeeEditorial Assistant
- ijbm@ccsenet.org