Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications

Dong Xianlei; Xu Jian; Ding Ying; Zhang Chenwei; Zhang Kunpeng; Song Min

doi:10.20309/jdis.201604

Journal of Data and Information Science (Sep 2017)

Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications

Dong Xianlei,
Xu Jian,
Ding Ying,
Zhang Chenwei,
Zhang Kunpeng,
Song Min

Affiliations

Dong Xianlei: School of Management Science and Engineering, Shandong Normal University, Jinan250014, China
Xu Jian: School of Information Management, Sun Yat-sen University, Guangzhou510006, China
Ding Ying: Department of Information and Library Science, Indiana University, Bloomington, IN 47405, United States of America
Zhang Chenwei: Department of Information and Library Science, Indiana University, Bloomington, IN 47405, United States of America
Zhang Kunpeng: Department of Information and Decision Sciences, University of Illinois at Chicago, ChicagoIL, 60607, United States of America
Song Min: Department of Library and Information Science, Yonsei University, 50 Yonsei-ro, Seoul120-749, Republic of Korea

DOI: https://doi.org/10.20309/jdis.201604
Journal volume & issue: Vol. 1, no. 1
pp. 28 – 49

Abstract

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We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

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Abstract

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