Characterizing and Understanding Development of Social Computing Through DBLP: A Data-Driven Analysis

Characterizing and Understanding Development of Social Computing Through DBLP: A Data-Driven Analysis

During the past decades, the term “social computing” has become a promising interdisciplinary area in the intersection of computer science and social science. In this work, we conduct a data-driven study to understand the development of social computing using the data collected from Digital Bibliogr...

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Bibliographic Details
Main Authors: Jiaqi Wu, Bodian Ye, Qingyuan Gong, Atte Oksanen, Cong Li, Jingjing Qu, Felicia F. Tian, Xiang Li, Yang Chen
Format: Article
Language:English
Published: Tsinghua University Press 2022-12-01
Series:Journal of Social Computing
Subjects:
social computing
digital bibliography and library project (dblp)
bibliometric
evolution
visualization
Online Access:https://www.sciopen.com/article/10.23919/JSC.2022.0018

Internet

https://www.sciopen.com/article/10.23919/JSC.2022.0018

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