Social Network Analysis and Academic Performance of the Editorial Board Members for Journals of Library and Information Science

Author(s):  
Zhang Liwei ◽  
Jiang Chunlin
Author(s):  
Kuang-hua Chen ◽  
Muh-Chyun Tang

This chapter focuses on the development of digital humanities (DH) in Taiwan. A bibliographic methodology was adopted where the scholarly publications in DH were collected and their bibliographic information retrieved and analyzed. Both co-authorship and article similarity networks were generated so social network analysis can be used to characterize the development of the field. The preliminary results show that in the earlier stage of DH in Taiwan more emphasis has been put on the construction and modeling of the cultural heritage databases; the later period has witnessed a wide variety of efforts to apply computational means within different branches in humanities, most noticeably history, Buddhists, and literary studies. The Computer Science, Library and Information Science, Geography, and History are the major driving forces for DH in Taiwan. The strong presence of Buddhists study is unique because of the strong influence of Buddhism on the Taiwanese.


Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.


Author(s):  
Kwan Yi ◽  
Tao Jin ◽  
Ping Li

Since 1973 the Canadian Association for Information Science (CAIS/ACSI) has consecutively held 43 annual conferences. The purpose of this study is to better understand the research and collaborative activities in the community of CAIS conferences, based on a social network analysis (SNA) approach. A total of 827 papers from 778 authors have been presented in CAIS for the period of 1993 to 2015, in association with 209 different organizations and 25 countries. A component analysis that has been applied to the collaboration network has discovered research collaboration patterns. This study contributes to discovering collaborative research activities and formation through the CAIS conference and to the literature of the scientific collaboration in the LIS field. Depuis 1973, l'Association canadienne de sciences de l'information (ACSI/CAIS) a tenu 43 congrès annuels consécutifs. Le but de cette étude est de mieux comprendre les activités de recherche et de collaboration dans la communauté de l’ACSI, à l’aide d’une approche d’analyse des réseaux sociaux (ARS). Un total de 827 articles de 778 auteurs ont été présentés à l’ACSI dans la période 1993-2015, en association avec 209 organisations différentes et 25 pays. L’analyse des composantes du réseau de collaboration met en lumière l’existence de patrons de collaboration de recherche au sein de la communauté. Cette étude contribue à l’étude des activités  de collaboration au sein des congrès de l’ACSI ainsi qu’à la littérature sur la collaboration scientifique dans le domaine BSI.


2016 ◽  
Vol 60 ◽  
pp. 312-321 ◽  
Author(s):  
Luis de-Marcos ◽  
Eva García-López ◽  
Antonio García-Cabot ◽  
José-Amelio Medina-Merodio ◽  
Adrián Domínguez ◽  
...  

2016 ◽  
Vol 17 (8) ◽  
pp. 903-913 ◽  
Author(s):  
Dawn DeLay ◽  
Linlin Zhang ◽  
Laura D. Hanish ◽  
Cindy F. Miller ◽  
Richard A. Fabes ◽  
...  

2020 ◽  
Vol 10 (2) ◽  
pp. 38-47
Author(s):  
Bao Ngoc Nguyen ◽  
Tran Phuong Nam ◽  
Le Hoai Nam

Connectedness in the classroom is something that has often been mentioned in researches, but it is difficult to imagine what it is specifically. One may wonder whether or not connectedness is related to students’ academic performance. With the use of Social Network Analysis, this article models and measures the connectedness among classmates and its association with their academic performance. The class under study is at the undergraduate level and the research results show that its members have fairly high adhesion and no significant dispersion. Combined with the calculation of Pearson's index (r) in SPSS, the article has arrived at findings which prove to be identical with those of many international studies: the connectedness and the centrality of a student do not correlate with his or her academic performance. The findings of this article not only provide suggestions for classroom organization and extracurricular activities but also reveal new research directions in the field of education in Vietnam via network thinking.


Bibliosphere ◽  
2019 ◽  
pp. 56-70 ◽  
Author(s):  
N. A. Mazov ◽  
V. N. Gureyev

Scientific challenge: A study of the current state of library and information sciences via bibliometric analysis of scientific journals and their editorial board members, i. e. geographic distribution and bibliometric analysis of their scholarly output resulting in additional approaches to evaluate serials and scientific area.Purpose: Bibliometric analyses of journals and scholarly output and geographic distribution of their editorial board members being the most authoritative experts over the last 5 years; detection of large scientific centers of library and information science; detection of a core of academic journals.Originality: For the first time in Russian literature results of the analysis of editorial boards are described for additional evaluation of library and information science journals and relevant scientific areas in general. Due to a limited number of papers on analysis of editorial boards this paper can be used as methodological one as well.Findings: Analysis of geographic distribution enabled us to detect a share of foreign members of almost 25 percent. The largest groups of Russian experts are located in Moscow and Saint-Petersburg, but also in two regional centers of the European part of Russia – Voronezh and Samara, while only Novosibirsk is the center of the Siberian expert group in library and information science. Experts mainly work at universities, followed by research organizations of The Ministry of Science and Higher Education. Wide range of bibliometric indices of editorial board members correlates with that of relevant journals. Some approaches of editors to enhance journal indices are detected including publication of their own high-level papers in journals which they are working for since these papers are attracting a larger amount of citations as compared with papers of other authors. Another strategy assumes that editorial board members cite their own journal in other serials. Co-citation data of analyzed journals predominantly demonstrate the absence of strong connections between journals.Conclusions: Editorial boards play a significant role in enhancing bibliometric indices of journals, and stronger integration of Russian library and information science society is necessary which may result in increasing currently low ranks of the studied journals among international serials.


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