Please wait a minute...
New Technology of Library and Information Service  2013, Vol. Issue (5): 64-72    DOI: 10.11925/infotech.1003-3513.2013.05.09
Current Issue | Archive | Adv Search |
Study on Network Evolution and Knowledge Dissemination of Scientific Collaboration Network in the Field of Complex Networks
Li Shengqing1,2, Cai Guoyong1
1. Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China;
2. Guangxi Normal University Library, Guilin 541004, China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  Taking the research field about “complex network” during 1975 and 2012 as an example, this article explains the characteristics of network evolution and knowledge transmission from static characteristics, topological characteristics and dynamic evolution characteristics of the four developing stages of scientific collaboration network. The simulation results demonstrate that the speed of the dissemination of knowledge is influenced by individual innovation ability obviously when knowledge transmission rate is constant and that the speed of the dissemination of knowledge is influenced by the knowledge transmission rate slightly when individual innovation capability is constant.
Key wordsScientific collaboration network      Complex network      Network evolution      Knowledge dissemination      Simulation analysis     
Received: 29 March 2013      Published: 03 July 2013
:  G350.7  

Cite this article:

Li Shengqing, Cai Guoyong. Study on Network Evolution and Knowledge Dissemination of Scientific Collaboration Network in the Field of Complex Networks. New Technology of Library and Information Service, 2013, (5): 64-72.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.05.09     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V/I5/64

[1] Barabsi A L, Jeong H, Néda Z, et al. Evolution of the Social Network of Scientific Collaborations[J]. Physica A: Statistical Mechanics and Its Applications,2002,311(3/4):590-614.
[2] 孟微. 复杂网络分析方法在情报学科研合著网络分析中的应用[D]. 北京:中国科学技术信息研究所,2008. (Meng Wei. Application of Complex Network Analysis in Scientific Co-authorship Network of Information Science[D]. Beijing: Institute of Scientific and Technical Information of China, 2008.)
[3] Kitsak M, Gallos L K, Havlin S, et al. Identification of Influential Spreaders in Complex Networks[J]. Nature Physics, 2010(6):888-893.
[4] Watts D J, Strogatz S H. Collective Dynamics of 'Small-world’Networks[J].Nature,1998,393:440-442.
[5] Barabsi A L,Albert R. Emergence of Scaling in Random Networks[J].Science,1999,286:509-512.
[6] 国家自然科学基金委员会.自然科学基金项目申请与资助情况[OL].[2012-12-19]. http://www.nsfc.gov.cn/. (National Natural Science Foundation of China. Natural Science Foundation of Applications and Approved Projects[OL].[2012-12-19]. http://www.nsfc.gov.cn/.)
[7] Ramasco J J, Dorogavtsev S N, Pastor-Satorras R. Self-organization of Collaboration Networks[J]. Physical Review,2004,70(3):036106. doi:10.1103/PhysRevE.70.036106.
[8] Pluchino A, Boccaletti S, Latora V, et al. Opinion Dynamics and Synchronization in a Network of Scientific Collaborations[J]. Physica A:Statistical Mechanics and Its Applications,2006,372(2):316-325.
[9] Tomassini M, Luthi L. Empirical Analysis of the Evolution of a Scientific Collaboration Network[J]. Physica A: Statistical Mechanics and Its Applications,2007,385(2):750-764.
[10] Perc M. Growth and Structure of Slovenia’s Scientific Collaboration Network[J]. Journal of Informetrics, 2010,4(4):475-482.
[11] Zhang H Z, Qiu B J, Ivanova K, et al. Locality and Attachedness-based Temporal Social Network Growth Dynamics Analysis: A Case Study of Evolving Nanotechnology Scientific Collaboration Networks[J].Journal of the American Society for Information Science and Technology, 2010,61(5):964-977.
[12] Cassi L, Morrison A, Ter Wal A L J. The Evolution of Trade and Scientific Collaboration Networks in the Global Wine Sector: A Longitudinal Study Using Network Analysis[J].Economic Geography, 2012, 88(3):311-334.
[13] González-Alcaide G, Park J, Huamaní C. Scientific Authorships and Collaboration Network Analysis on Chagas Disease: Papers Indexed in Pubmed(1940-2009)[J].Revista do Instituto de Medicina Tropical de Sao Paulo, 2012,54(4):219-228.
[14] 王福生,杨洪勇.作者科研合作网络模型与实证研究[J]. 图书情报工作 ,2007,51(10):68-71. (Wang Fusheng, Yang Hongyong. Author Collaboration Network Model and Demonstration Study[J]. Library and Information Service, 2007,51(10):68-71.)
[15] 付允,牛文元,汪云林,等.科学学领域作者合作网络分析——以《科研管理》(2004-2008)为例[J]. 科研管理 ,2009,30(3):41-46. (Fu Yun, Niu Wenyuan, Wang Yunlin, et al. Analysis on the Author Cooperation Network in the Field of Science of Science: A Case of Science Research Management from 2004 to 2008[J].Science Research Management, 2009,30(3):41-46.)
[16] 孟微,庞景安.我国情报学科研合著网络研究及其特征参数分析[J]. 情报理论与实践 ,2009,32(8):12-15.(Meng Wei, Pang Jingan. The Characteristic Parameters Analysis and Study on the Scientific Research Co-authorship Network of Information Science in China[J]. Information Studies: Theory & Application, 2009,32(8):12-15.)
[17] 宋丽华,王伊蕾,李涛.亲密因子对科研合作网的影响[J]. 图书情报工作 ,2009,53(20):65-67. (Song Lihua, Wang Yilei, Li Tao. The Impact of Relationship Gene on Scientific Collaboration Network[J]. Library and Information Service, 2009,53(20):65-67.)
[18] 张利华,闫明.基于SNA的中国管理科学科研合作网络分析——以《管理评论》(2004-2008)为样本[J]. 管理评论 ,2010,22(4):39-46. (Zhang Lihua, Yan Ming. Analysis of Scientific Collaboration Network of China’s Management Sciences Based on SNA——For the Sample of “Management Review” (2004-2008)[J]. Management Review, 2010,22(4):39-46.)
[19] 张鹏程,彭菡.科研合作网络特征与团队知识创造关系研究[J]. 科研管理 ,2011,32(7):104-112. (Zhang Pengcheng, Peng Han. On the Relationship Between Scientific Cooperative Networks’ Characteristics and Teams’ Knowledge Creation[J].Science Research Management, 2011,32(7):104-112.)
[20] 赵延东,周婵.我国科研人员的科研合作网络分析——基于个体中心网视角的研究[J]. 科学学研究 ,2011,29(7):999-1006. (Zhao Yandong, Zhou Chan. The Cooperation Network of Chinese Researchers: A Perspective of Ego-Centered Social Network Analysis[J].Studies in Science of Science, 2011,29(7):999-1006.)
[21] 邱均平,瞿辉.我国科研机构合作网络知识扩散研究——以“生物多样性”研究为例[J]. 图书情报知识 , 2011(6):5-11. (Qiu Junping, Qu Hui. Study on the Knowledge Diffusion in the Network of Chinese Research Institutions: A Case on Biodiversity Research[J].Document, Information & Knowledge, 2011(6):5-11.)
[22] 邱均平,温芳芳.我国“985工程”高校科研合作网络研究[J]. 情报学报 ,2011,30(7):746-755. (Qiu Junping, Wen Fangfang. A Study on the Scientific Research Collaboration Network of “985 Project” Universities in China[J]. Journal of the China Society for Scientific and Technical Information, 2011, 30(7):746-755.)
[23] 刘凤朝,姜滨滨.中国区域科研合作网络结构对绩效作用效果分析——以燃料电池领域为例[J]. 科学学与科学技术管理 ,2012,33(1):109-115.(Liu Fengchao, Jiang Binbin. Analysis of the Effect of Network Structure on Innovation Performance: Based on China’s Regional S&T Collaboration Network in Fuel Cell[J]. Science of Science and Management of S.& T., 2012,33(1):109-115.)
[24] 张玉涛,李雷明子,王继民,等.数据挖掘领域的科研合作网络分析[J]. 图书情报工作 ,2012,56(6):117-122.(Zhang Yutao, Lilei Mingzi, Wang Jimin, et al. Research Cooperation Networks in Data Mining[J]. Library and Information Service, 2012,56(6):117-122.)
[25] Web of Science[DB/OL].[2012-10-11]. http://apps.webofknowledge.com/.
[26] Matlab[CP/OL].[2012-10-11]. http://www.mathworks.com/.
[27] 李盛庆,符荣鑫. 基于Python的科研合著网络构建方法研究[J]. 现代图书情报技术 ,2012(S2):64-67. (Li Shengqing, Fu Rongxin. The Study on Construction Method of Scientific Co-author Network Based on Python[J]. New Technology of Library and Information Service,2012(S2):64-67.)
[28] 郭世泽,陆哲明. 复杂网络基础理论[M]. 北京:科学出版社, 2012: 44. (Guo Shize, Lu Zheming. The Basic Theory of Complex Network[M]. Beijing: Science Press, 2012:44.)
[29] 吕丽,张素娟,樊锁海. 一个科研合作复杂网络模型的实证研究[J]. 暨南大学学报:自然科学与医学版 ,2011,32(5):462-467.( Lv Li, Zhang Sujuan, Fan Suohai. Research of a Complex Network Model on Scientific Collaboration[J]. Journal of Jinan University:Natural Science & Medicine Edition, 2011,32(5):462-467.)
[30] 丁善敏. 社会网络分析方法在合著网络中的应用[D].天津:天津师范大学,2012. (Ding Shanmin. Application of Social Network Analysis in Scientific Co-authorship Network[D]. Tianjin: Tianjin Normal University, 2012.)
[31] Gephi[CP/OL].[2012-10-11]. http://gephi.org/.
[32] 刘鹏. 科研合作复杂网络模型的研究[D].广州:暨南大学,2011. (Liu Peng. Research of Complex Network Models on Scientific Collaboration[D]. Guangzhou: Jinan University,2011.)
[33] Blondel V D, Guillaume J L, Lambiotte R. Fast Unfolding of Communities in Large Networks[J]. Journal of Statistical Mechanics: Theory and Experiment, 2008(10):P10008.doi: 10.1088/1742-5468/2008/10/P10008.
[34] Barrat A, Barthélemy M, Vespignani A. Dynamical Processes on Complex Networks[M].New York: Cambridge University Press,2008:184.
[35] Muchnik L, Itzhack R, Solomon S, et al. Self-emergence of Knowledge Trees: Extraction of the Wikipedia Hierarchies[J].Physical Review E,2007, 76(1/2):016106.
[36] Cowan R, Jonard N. Network Structure and the Diffusion of Knowledge[J]. Journal of Economic Dynamics and Control, 2004, 28(8):1557-1575.
[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Chen Wenjie,Wen Yi,Yang Ning. Fuzzy Overlapping Community Detection Algorithm Based on Node Vector Representation[J]. 数据分析与知识发现, 2021, 5(5): 41-50.
[3] Li Wenzheng,Gu Yijun,Yan Hongli. Predicting Community Numbers with Network Bayesian Information Criterion[J]. 数据分析与知识发现, 2020, 4(4): 72-82.
[4] Xiang Li,Xiaodong Qian. Research on Impact of Commodity Online Evaluation for Consumption Convergence[J]. 数据分析与知识发现, 2019, 3(3): 102-111.
[5] Jiao Yan,Jing Ma,Kang Fang. Computing Text Semantic Similarity with Syntactic Network of Co-occurrence Distance[J]. 数据分析与知识发现, 2019, 3(12): 93-100.
[6] Wuxuan Jiang,Huixiang Xiong,Jiaxin Ye,Ning An. Creating Dynamic Tags for Social Networking Groups[J]. 数据分析与知识发现, 2019, 3(10): 98-109.
[7] Qian Xiaodong,Li Min. Identifying E-commerce User Types Based on Complex Network Overlapping Community[J]. 数据分析与知识发现, 2018, 2(6): 79-91.
[8] Wang Zhongyi,Zhang Heming,Huang Jing,Li Chunya. Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis[J]. 数据分析与知识发现, 2018, 2(11): 80-94.
[9] Chen Yunwei,Zhang Ruihong. Comparing on Community Detection Algorithms for Information Mining[J]. 数据分析与知识发现, 2018, 2(10): 84-94.
[10] Yu Chuanming,Gong Yutian,Zhao Xiaoli,An Lu. Collaboration Recommendation of Finance Research Based on Multi-feature Fusion[J]. 数据分析与知识发现, 2017, 1(8): 39-47.
[11] Liu Bingyao,Ma Jing,Li Xiaofeng. Topic Representation Model Based on “Feature Dimensionality Reduction”[J]. 数据分析与知识发现, 2017, 1(11): 53-61.
[12] Wu Jiang,Chen Jun,Zhang Jinfan. A Knowledge Supply-Demand Simulation System for Collaborative Innovation[J]. 现代图书情报技术, 2016, 32(9): 27-33.
[13] Ye Teng,Han Lichuan,Xing Chunxiao,Zhang Yan. Knowledge Dissemination Mechanism in Virtual Communities: Case Study Based on Complex Network Theory[J]. 现代图书情报技术, 2016, 32(7-8): 70-77.
[14] Zhai Dongsheng,Wang Meng,Zhang Jie,Sun Wu. Measuring Technological Innovation Network Evolution of Targeting Technology[J]. 现代图书情报技术, 2016, 32(11): 64-75.
[15] Lixin Xia,Ying Tan. Analysis and Visualization of the LOD Network Structure[J]. 现代图书情报技术, 2016, 32(1): 65-72.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn