Thematic Analysis of Twitter as a Platform for Knowledge Management

被引：1
作者：
Noor, Saleha [1 ]
Guo, Yi [1 ,2 ,3 ]
Shah, Syed Hamad Hassan [4 ]
Halepoto, Habiba [5 ]
机构：
[1] East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China
[2] Business Intelligence & Visualizat Res Ctr, Natl Engn Lab Big Data Distribut & Exchange Techn, Shanghai 200436, Peoples R China
[3] Shanghai Engn Res Ctr Big Data & Internet Audienc, Shanghai 200072, Peoples R China
[4] Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China
[5] Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China
来源：
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III | 2021年 / 12817卷
基金：
中国国家自然科学基金;
关键词：
Twitter; VOSviewer; Thematic Analysis; knowledge management; SOCIAL MEDIA; HIGHER-EDUCATION;
D O I：
10.1007/978-3-030-82153-1_50
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of this study is to conduct a thematic analysis of Twitter-related publications in knowledge management (KM) discipline and explore different research themes of KM Twitter-related publications. These publications were retrieved from Web of Science (WoS) during time span of 2009-2020 and thematic analysis was conducted through VOSviewer. Different methodologies were used according to the nature of bibliometric analysis and explained in each section. Three themes were emerged from these publications indicating Twitter users' explicit contribution in KM through big data and text mining, knowledge sharing through communities' collaboration and KM through machine learning. This is the first bibliometric study to explore overall contribution of Twitter-related publications in KM field at a glance.
引用
收藏
页码：610 / 618
页数：9
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