The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities

Zhang, Lin; Leydesdorff, Loet

The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities

Journal of Data and Information Science

Volume 6 (2021): Issue 4 (November 2021)

By:

Lin Zhang and Loet Leydesdorff

Open Access

|Jun 2021

Figures & Tables

Science overlay map of the publications with an address at Tsinghua University. [Note: The base map of disciplines was developed from the matrix of 227 × 227 cells of WoS categories. This was generated on the basis of direct citation counting and normalized with the cosine function (Carley et al. 2017).

The science overlay map of the publications associated with Stanford University. [Note: The base map of disciplines was developed from the matrix of 227 × 227 cells of WoS categories. This was generated on the basis of direct citation counting and normalized with the cosine function (Carley et al. 2017).

Number of publications associated with the 44 universities in our sample (2017–2019); in decreasing order_

No.	University name	Papers	No.	University name	Papers
1	Harvard Univ	76,144	23	Northeastern Univ	14,893
2	Shanghai Jiao Tong Univ	37,016	24	Beihang Univ	14,484
3	Zhejiang Univ	35,204	25	Dalian Univ of Technology	13,861
4	Tsinghua Univ	32,681	26	Zhengzhou Univ	12,993
5	Stanford Univ	32,428	27	Northwestern Polytechnical Univ	12,497
6	Peking Univ	30,160	28	Chongqing Univ	12,451
7	Sun Yat-Sen Univ	26,823	29	Univ of Electronic S & T of China	12,334
8	Huazhong Univ of S & T	24,822	30	Xiamen Univ	11,607
9	Fudan Univ	24,475	31	Beijing Institute of Technology	11,206
10	Sichuan Univ	23,259	32	Beijing Normal Univ	10,043
11	Central South Univ	22,870	33	Nankai Univ	9970
12	Xi’an Jiaotong Univ	22,698	34	Hunan Univ	9811
13	Shandong Univ	21,601	35	Lanzhou Univ	9156
14	Jilin Univ	21,068	36	China Agricultural Univ	8762
15	Harbin Institute of Technology	20,750	37	Northwest A & F Univ	7817
16	Univ of S & T of China	20,747	38	East China Normal Univ	7610
17	Wuhan Univ	19,748	39	National Univ of Defense Technology	6601
18	Nanjing Univ	19,246	40	Ocean Univ of China	6390
19	Tianjin Univ	17,778	41	Renmin Univ of China	2946
20	Tongji Univ	17,226	42	Yunnan Univ	2835
21	Southeast Univ	16,959	43	Xinjiang Univ	1979
22	South China Univ of Technology	15,595	44	Minzu Univ of China	760

Factor analysis of the interdisciplinarity and diversity indicators (N = 42)_

Rotated Component Matrix^a

	Component

	1	2
True RS	.881	−.133
Shannon	.877	.455
(1-Gini)	.862	.456
Simpson	.830	.390
Div^*	.703	.657
Variety	.329	.853
Disparity		.792

The Indicator scores generated by interd_vb_exe routine_

University	DIV^*	Rank	True RS	Rank	Simpson	Rank	Shannon	Rank	Variety	Rank	Disparity	Rank	(1-Gini)	Rank
Stanford Univ	40.260	1	1.503	15	0.986	1	6.831	1	0.988	1	0.472	23	0.340	1
Sun Yat-Sen Univ	35.754	2	1.549	6	0.983	5	6.663	2	0.945	5	0.474	12	0.314	2
Peking Univ	33.352	3	1.516	13	0.982	7	6.568	4	0.953	3	0.474	15	0.291	4
Zhejiang Univ	33.237	4	1.549	7	0.983	3	6.594	3	0.949	4	0.473	18	0.292	3
Harvard Univ	32.328	5	1.288	39	0.983	6	6.512	7	0.988	1	0.471	25	0.274	7
Shanghai Jiao Tong Univ	31.151	6	1.553	5	0.984	2	6.565	5	0.921	9	0.471	26	0.283	5
Sichuan Univ	30.092	7	1.527	12	0.983	4	6.517	6	0.913	11	0.473	19	0.274	6
Wuhan Univ	29.117	8	1.548	8	0.982	9	6.465	8	0.917	10	0.473	16	0.264	8
Northeastern Univ	28.892	9	1.485	18	0.975	24	6.335	15	0.945	5	0.466	37	0.258	10
Fudan Univ	28.102	10	1.457	22	0.979	17	6.361	12	0.929	7	0.468	35	0.254	12
Shandong Univ	27.683	11	1.492	17	0.981	11	6.416	9	0.898	13	0.472	24	0.257	11
East China Normal Univ	27.471	12	1.495	16	0.980	12	6.415	10	0.886	18	0.470	28	0.260	9
Nanjing Univ	26.735	13	1.444	24	0.977	20	6.256	21	0.929	7	0.475	9	0.238	19
Beijing Normal Univ	26.427	14	1.575	4	0.976	22	6.328	16	0.890	16	0.467	36	0.250	13
Xiamen Univ	26.392	15	1.439	25	0.977	18	6.301	19	0.894	14	0.474	13	0.245	16
Tongji Univ	26.286	16	1.538	11	0.979	13	6.341	13	0.894	14	0.471	27	0.246	15
Huazhong Univ of S&T	25.700	17	1.452	23	0.979	15	6.308	18	0.886	18	0.475	10	0.241	18
Central South Univ	25.298	18	1.545	9	0.979	16	6.336	14	0.843	23	0.479	2	0.247	14
Lanzhou Univ	23.959	19	1.513	14	0.981	10	6.362	11	0.815	26	0.472	22	0.245	17
Jilin Univ	23.323	20	1.431	26	0.975	26	6.177	22	0.866	21	0.474	14	0.224	22
Tsinghua Univ	23.253	21	1.371	29	0.975	27	6.120	25	0.913	11	0.470	29	0.213	25
Xi’an Jiaotong Univ	22.879	22	1.409	27	0.975	25	6.128	24	0.890	16	0.472	21	0.214	24
Zhengzhou Univ	21.553	23	1.463	20	0.976	23	6.152	23	0.811	27	0.475	7	0.220	23
Southeast Univ	20.325	24	1.385	28	0.970	33	5.971	29	0.870	20	0.470	30	0.196	28
Renmin Univ	20.323	25	1.458	21	0.979	14	6.277	20	0.748	35	0.457	41	0.234	20
Yunnan Univ	18.896	26	1.540	10	0.982	8	6.314	17	0.681	39	0.469	31	0.233	21
Nankai Univ	18.091	27	1.334	32	0.969	40	5.894	32	0.827	24	0.462	40	0.187	30
Univ of S&T – China	17.782	28	1.303	37	0.968	41	5.797	38	0.850	22	0.477	5	0.172	38
Tianjin Univ	17.466	29	1.296	38	0.970	35	5.852	37	0.819	25	0.475	11	0.177	35
South China Univ of Technol	17.286	30	1.349	31	0.970	36	5.882	33	0.795	28	0.473	20	0.181	31
Chongqing Univ	17.029	31	1.313	34	0.970	34	5.856	36	0.795	28	0.478	3	0.176	36
Hunan Univ	16.958	32	1.307	36	0.973	30	5.913	31	0.772	32	0.480	1	0.180	32
Ocean Univ of China	16.824	33	1.734	1	0.977	21	6.102	26	0.677	40	0.473	17	0.207	26
Dalian Univ of Technol	16.509	34	1.315	33	0.974	29	5.922	30	0.756	34	0.478	4	0.180	33
Harbin Inst of Technology	15.412	35	1.286	40	0.969	38	5.769	39	0.776	31	0.475	8	0.165	39
Beihang Univ	15.007	36	1.311	35	0.970	37	5.762	40	0.780	30	0.465	38	0.163	40
China Agricultural Univ	14.671	37	1.670	3	0.973	31	5.873	35	0.701	37	0.469	34	0.176	37
Northwest A&F Univ	14.040	38	1.681	2	0.972	32	5.881	34	0.665	41	0.469	33	0.177	34
Beijing Inst of Technol	13.944	39	1.269	44	0.969	39	5.728	41	0.724	36	0.475	6	0.159	41
Xinjiang Univ	12.921	40	1.369	30	0.975	28	5.997	28	0.571	42	0.463	39	0.193	29
Univ of Electronic S&T of China	12.847	41	1.281	42	0.950	44	5.428	43	0.768	33	0.448	43	0.147	42
Minzu Univ of China	12.104	42	1.464	19	0.977	19	6.049	27	0.535	44	0.448	42	0.199	27
Northwestern Polytechnical Univ	12.062	43	1.275	43	0.962	42	5.571	42	0.693	38	0.469	32	0.146	43
National Univ of Defense Technol	7.783	44	1.285	41	0.951	43	5.274	44	0.563	43	0.446	44	0.122	44

Spearman's correlations for ranking order generated by Interd_vb_exe (N = 42)_

	DIV^*	TRUE RS	VARIETY	DISPARITY	(1 -GINI)	SIMPSON SHANNON
DIV^*
TRUE RS	.563^**
VARIETY	.926^**	.323^*
DISPARITY	.215	−.092	.230
(1 – GINI)	.936	.717^**	.772^**	.074
SIMPSON	.789^**	.766^**	.551^**	.085	.917^**
SHANNON	.911^**	.734^**	.725^**	087	.990^**	.950^**

The differences among provided programs_

Routine	Name of program required	Input	Output	Other output	Website
Interd_vb.exe	Interdis.exe	^*.txt file containing comma-separated variables	Interdis.csv Interdis.dbf		https://www.leydesdorff.net/software/interdisc.2020/
Syn3_vb.exe	Syn3.exe	^*.txt file containing comma-separated variables	synergy.csv synergy.dbf	Minus.net; minus.txt; t_edges.dbf, t_nodes.dbf, t123.dbf	https://www.leydesdorff.net/software/synergy.triads/
Mode2div.exe		.net file (Pajek) format	Div_col.dbf		https://www.leydesdorff.net/
jcitnetw.exe		WoS downloads	CR as input for mode2div		https://www.leydesdorff.net/software/interdisc/index.htm

Local vs_ global disparity using JCR data for 2019_

University	DIV^*	Rank	TRUE RS	Rank
Stanford Univ	72.956	1	5.488	2
Sun Yat-Sen Univ	68.429	2	4.741	5
Zhejiang Univ	63.343	3	4.300	12
Peking Univ	62.654	4	4.632	8
Shanghai Jiao Tong Univ	60.907	5	4.643	7
Sichuan Univ	58.367	6	4.033	19
Harvard Univ	58.301	7	4.461	9
Wuhan Univ	56.903	8	4.702	6
Northeastern Univ	54.887	9	4.161	15
Fudan Univ	54.196	10	3.897	22
Shandong Univ	53.921	11	4.162	14
East China Normal Univ	51.757	12	4.309	11
Xiamen Univ	51.354	13	3.705	24
Tongji Univ	51.348	14	4.823	4
Beijing Normal Univ	50.815	15	5.082	3
Huazhong Univ of S&T	50.632	16	3.963	20
Central South Univ	50.535	17	4.107	17
Nanjing Univ	50.285	18	3.851	23
Lanzhou Univ	47.622	19	4.087	18
Jilin Univ	46.049	20	3.292	34
Xi’an Jiaotong Univ	45.655	21	3.664	25
Tsinghua Univ	45.121	22	3.601	26
Zhengzhou Univ	43.389	23	3.442	29
Southeast Univ	39.662	24	3.902	21
Renmin Univ	37.896	25	5.563	1
Nankai Univ	36.427	26	2.950	43
Yunnan Univ	36.236	27	4.382	10
Univ of S & T – China	35.002	28	2.876	44
Tianjin Univ	34.613	29	2.995	41
South China Univ of Technol	34.388	30	2.978	42
Ocean Univ of China	32.747	31	4.202	13
Chongqing Univ	32.519	32	3.260	35
Hunan Univ	32.394	33	3.379	32
Dalian Univ of Technol	31.933	34	3.355	33
Harbin Inst of Technol	30.166	35	3.191	36
Beihang Univ	30.029	36	3.508	28
China Agricultural Univ	29.258	37	3.396	31
Northwest A & F Univ	27.904	38	3.402	30
Beijing Inst of Technol	27.102	39	3.184	37
Univ of Electronic S&T of China	26.892	40	3.073	39
Xinjiang Univ	25.828	41	3.531	27
Northwestern Polytechnical Univ	23.873	42	3.031	40
Minzu Univ of China	22.645	43	4.132	16
National Univ of Defense Technol	16.236	44	3.118	38

Spearman's correlations for consistency of rank order – local vs_ global disparity_

	DIV^*_local	TRUE RS_local	DIV^*_global
DIV^*_local
TRUE RS_local	.502^**
DIV^*_global	.996^**	.516^**
TRUE RS_global	.697^**	.707^**	.695^**

DOI: https://doi.org/10.2478/jdis-2021-0027 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X

Journal RSS Feed

Language: English

Page range: 13 - 35

Submitted on: Jan 17, 2021

Accepted on: Jun 1, 2021

Published on: Jun 24, 2021

Published by: Chinese Academy of Sciences, National Science Library

In partnership with: Paradigm Publishing Services

Publication frequency: 4 times per year

Keywords:

Balance,

Variety,

Related subjects:

Information technology,

Project management,

Databases and data mining

© 2021 Lin Zhang, Loet Leydesdorff, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities

Figures & Tables

Figure 1

Figure 2

Number of publications associated with the 44 universities in our sample (2017–2019); in decreasing order_

Factor analysis of the interdisciplinarity and diversity indicators (N = 42)_

The Indicator scores generated by interd_vb_exe routine_

Spearman's correlations for ranking order generated by Interd_vb_exe (N = 42)_

The differences among provided programs_

Local vs_ global disparity using JCR data for 2019_

Spearman's correlations for consistency of rank order – local vs_ global disparity_

Paradigm

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