Research on the Analysis of Index Group Division and Inter Group Relationship Based on Social Network

VernacularTitle:基于社会网络分析的指标群划分及群间关系研究
Author: Hao CHENG ¹ ; Danhui YI ; Zongyi MOU
Author Information

1. 中国科协创新战略研究院北京 100012
Keywords: Social network analysis; index group; inter group relationship
From: World Science and Technology-Modernization of Traditional Chinese Medicine 2018;20(4):505-513
CountryChina
Language:Chinese
Abstract: To measure the structure relationship among indexes and different indexes groups based on the networkrelationship information. Methods: Tabu search algorithm was used as the concrete algorithm to study the composition ofindex groups and the structure relationship between them. Result: The results of simulation and real data show that Tabusearch algorithm accurately solve the division of indexes and measure the structure relationship among different groups.Conclusion: Tabu search algorithm measure the structure relationship among indexes and different indexes groups, whichextend to larger network and more complex situations.