文献类型：期刊文献

英文题名：Thematic Analysis of Twitter as a Platform for Knowledge Management

作者：Noor, Saleha[1]; Guo, Yi[1,2,3]; Shah, Syed Hamad Hassan[4]; Halepoto, Habiba[5]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Business Intelligence and Visualization Research Center, National Engineering Laboratory for Big Data Distribution and Exchange Technologies, Shanghai, 200436, China; [3] Shanghai Engineering Research Center of Big Data & Internet Audience, Shanghai, 200072, China; [4] Glorious Sun School of Business and Management, Donghua University, Shanghai, China; [5] College of Information Science and Technology, Donghua University, Shanghai, China

年份：2021

卷号：12817 LNAI

起止页码：610

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20213510835483)

语种：英文

外文关键词：Data mining - Social networking (online) - Publishing

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. ? 2021, Springer Nature Switzerland AG.