Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research
, , , , et | 01 sept. 2017
À propos de cet article
Article Category: Research Paper
Publié en ligne: 01 sept. 2017
Pages: 81 - 101
Reçu: 30 mai 2016
Accepté: 12 sept. 2016
DOI: https://doi.org/10.20309/jdis.201626
Mots clés
© 2016 Ling Wei, Haiyun Xu, Zhenmeng Wang, Kun Dong, Chao Wang, Shu Fang
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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Subnet indices in 2007.
| Subnet ID | Subnet label | SI | SCB | Subnet type |
|---|---|---|---|---|
| 0 | Information technology | 2.55 | 38.00% | Core subnet |
| 1 | Information retrieval | 0.84 | 33.33% | Important subnet |
| 2 | Social network | 0.76 | 54.55% | Important subnet |
| 3 | Digital library | 0.66 | 45.45% | Dense subnet |
| 4 | Knowledge sharing | 0.53 | 56.25% | Dense subnet |
| 5 | Information science | 0.32 | 21.88% | Dense subnet |
Node indices in 2013 (partial list).
| Node ID | Node label | Betweenness centrality (weak co-occurrence) | Betweenness centrality (weak tie) |
|---|---|---|---|
| 10 | Knowledge sharing | 145.27 | 35.94 |
| 33 | Technology acceptance model | 45.97 | 5.77 |
| 9 | Future research | 58.23 | 171.13 |
| 34 | Digital divide | 2.41 | 44.74 |
| 20 | Developing countries | 60.86 | 123.83 |
Subnet indices in 2009.
| Subnet ID | Subnet label | SI | SCB | Subnet type |
|---|---|---|---|---|
| 2 | Complex network | 3.42 | 72.88% | Core subnet |
| 0 | Information management | 2.67 | 60.00% | Core subnet |
| 3 | Information system | 2.40 | 44.98% | Important subnet |
| 1 | User satisfaction | 1.97 | 30.98% | Dense subnet |
| 4 | Scientific communication | 1.28 | 40.27% | Dense subnet |
Node types and indicators.
| Indicator | Degree centrality | Betweenness centrality | WCS | |
|---|---|---|---|---|
| Node type | ||||
| Core node | Above 10 | High | High | |
| Important node | Between 5 and10 | Moderate | Moderate | |
| Common node | Below 5 | Moderate/low | Low | |
| Special node | Changed dramatically | |||
Subnet indices in 2013.
| Subnet ID | Subnet label | SI | SCB | Subnet type |
|---|---|---|---|---|
| 0 | Information technology | 2.95 | 35.41% | Core subnet |
| 4 | Information system | 2.10 | 34.81% | Core subnet |
| 1 | Information science | 1.56 | 46.67% | Important subnet |
| 3 | Information need | 0.40 | 41.46% | Dense subnet |
| 2 | Citation analysis | 0.26 | 14.75% | Dense subnet |
Node indices in 2007 (partial list).
| Node ID | Node label | Degree centrality | Betweenness centrality | SCB |
|---|---|---|---|---|
| 2 | Communication techniques | 21 | 324.33 | 72.41% |
| 7 | Information science | 18 | 224.33 | 69.23% |
| 13 | User information seeking | 16 | 152.66 | 69.57% |
| 11 | Digital library | 16 | 116.68 | 69.57% |
| 1 | Information retrieval | 13 | 76.79 | 59.09% |
Node indices in 2011 (partial list).
| Node ID | Node label | Degree centrality | Betweenness centrality | SCB |
|---|---|---|---|---|
| 11 | Structural equation model | 2 | 1.75 | 20.00% |
| 6 | Information literacy | 2 | 11.00 | 40.00% |
| 30 | Heath information | 2 | 2.10 | 50.00% |
| 27 | University library | 2 | 0.50 | 40.00% |
| 15 | Comparative advantage | 2 | 7.70 | 50.00% |
| 7 | Citation analysis | 1 | 0.00 | 10.00% |
Subnet types and indicators.
| Indicator | SI | SCB | |
|---|---|---|---|
| Subnet type | |||
| Core subnet | High | High | |
| Important subnet | Moderate | Moderate | |
| Dense subnet | Low | Low | |
Node indices in 2009 (partial list).
| Node ID | Node label | Degree centrality | Betweenness centrality | SCB |
|---|---|---|---|---|
| 40 | Knowledge sharing | 6 | 88.45 | 75.00% |
| 43 | Decision support | 8 | 32.88 | 67.00% |
| 20 | Future research | 9 | 22.23 | 56.12% |
| 5 | Academic library | 8 | 37.43 | 31.00% |
| 9 | Library and information Science | 9 | 55.29 | 47.37% |