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Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research Cover

Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research

Open Access
|Sep 2017

Figures & Tables

Figure 1

Research ideas and main steps for data analysis.
Research ideas and main steps for data analysis.

Figure 2

2007 weak tie network of library and information science.
2007 weak tie network of library and information science.

Figure 3

2009 weak tie network of library and information science.
2009 weak tie network of library and information science.

Figure 4

2011 weak tie network of library and information science.
2011 weak tie network of library and information science.

Figure 5

2013 weak tie network of library and information science.
2013 weak tie network of library and information science.

Subnet indices in 2007_

Subnet IDSubnet labelSISCBSubnet type
0Information technology2.5538.00%Core subnet
1Information retrieval0.8433.33%Important subnet
2Social network0.7654.55%Important subnet
3Digital library0.6645.45%Dense subnet
4Knowledge sharing0.5356.25%Dense subnet
5Information science0.3221.88%Dense subnet

Node indices in 2013 (partial list)_

Node IDNode labelBetweenness centrality (weak co-occurrence)Betweenness centrality (weak tie)
10Knowledge sharing145.2735.94
33Technology acceptance model45.975.77
9Future research58.23171.13
34Digital divide2.4144.74
20Developing countries60.86123.83

Subnet indices in 2009_

Subnet IDSubnet labelSISCBSubnet type
2Complex network3.4272.88%Core subnet
0Information management2.6760.00%Core subnet
3Information system2.4044.98%Important subnet
1User satisfaction1.9730.98%Dense subnet
4Scientific communication1.2840.27%Dense subnet

Node types and indicators_

IndicatorDegree centralityBetweenness centralityWCS
Node type
Core nodeAbove 10HighHigh
Important nodeBetween 5 and10ModerateModerate
Common nodeBelow 5Moderate/lowLow
Special nodeChanged dramatically

Subnet indices in 2013_

Subnet IDSubnet labelSISCBSubnet type
0Information technology2.9535.41%Core subnet
4Information system2.1034.81%Core subnet
1Information science1.5646.67%Important subnet
3Information need0.4041.46%Dense subnet
2Citation analysis0.2614.75%Dense subnet

Node indices in 2007 (partial list)_

Node IDNode labelDegree centralityBetweenness centralitySCB
2Communication techniques21324.3372.41%
7Information science18224.3369.23%
13User information seeking16152.6669.57%
11Digital library16116.6869.57%
1Information retrieval1376.7959.09%

Node indices in 2011 (partial list)_

Node IDNode labelDegree centralityBetweenness centralitySCB
11Structural equation model21.7520.00%
6Information literacy211.0040.00%
30Heath information22.1050.00%
27University library20.5040.00%
15Comparative advantage27.7050.00%
7Citation analysis10.0010.00%

Subnet types and indicators_

IndicatorSISCB
Subnet type
Core subnetHighHigh
Important subnetModerateModerate
Dense subnetLowLow

Node indices in 2009 (partial list)_

Node IDNode labelDegree centralityBetweenness centralitySCB
40Knowledge sharing688.4575.00%
43Decision support832.8867.00%
20Future research922.2356.12%
5Academic library837.4331.00%
9Library and information Science955.2947.37%
DOI: https://doi.org/10.20309/jdis.201626 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 81 - 101
Submitted on: May 30, 2016
Accepted on: Sep 12, 2016
Published on: Sep 1, 2017
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Ling Wei, Haiyun Xu, Zhenmeng Wang, Kun Dong, Chao Wang, Shu Fang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.