Studying the Patterns of users\' tagging to knowledge and information science field\'s articles in the scientific social networks

Studying the Patterns of users\' tagging to knowledge and information science field\'s articles in the scientific social networks

This research aims to verify the patterns of users' tagging to the articles of knowledge and information science field in academia.edu. The research method is quantitative and based on text mining and applicable typically. The population includes 6086 bibliographic articles and their abstracts...

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Bibliographic Details
Main Authors: Rasul Saadat, Ahmad Shabani, Asefeh Asemi, Mehrdad CheshmehSohrabi, Mohammad TavakoliZadeh Ravari
Format: Article
Language:fas
Published: Iranian Research Institute for Information and Technology 2022-09-01
Series:Iranian Journal of Information Processing & Management
Subjects:
social tagging
indexing
knowledge organization
folksonomy
scientific social networks
knowledge and information science
academia.edu.
Online Access:http://jipm.irandoc.ac.ir/article-1-4805-en.html

Internet

http://jipm.irandoc.ac.ir/article-1-4805-en.html

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