Volume 39 Issue 6
Jun.  2014
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Article Contents
CHANG Xiaomeng, YUE Yang, LI Qingquan, CHEN Biyu, SHAW Shihlung, TU Wei. Extracting the Geographic Backbone of Location-based Social Network[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 706-710. DOI: 10.13203/j.whugis20140105
Citation: CHANG Xiaomeng, YUE Yang, LI Qingquan, CHEN Biyu, SHAW Shihlung, TU Wei. Extracting the Geographic Backbone of Location-based Social Network[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 706-710. DOI: 10.13203/j.whugis20140105

Extracting the Geographic Backbone of Location-based Social Network

Funds: The National Natural Science Foundation of China, No. 41371377; Shenzhen Scientific Research and Development Funding Program, No. ZDSY20121019111146499; Shenzhen Dedicated Funding of Strategic Emerging Industry Development Program, No. JCYJ20121019111128765; CCF-TencentARG20130115. 718
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  • Author Bio:

    CHANG Xiaomeng,PhD candidate,specializes in geographic social network,spatio-temporal data visual analysis,and ITS.

  • Corresponding author:

    LI Qingquan

  • Received Date: February 14, 2014
  • Revised Date: June 04, 2014
  • Published Date: June 04, 2014
  • Objective Based on the massive amount of users social relationship and location information data col-lected from the largest social network website in China-SINA micro-blog,an inter-city geographic so-cial network was built from the aggregated inter-person linkages mapped from virtual space onto thephysical space.Considering about the topological characteristics such as the global and local heteroge-neity,and the spatial interactions among cities,a hybrid geographic backbone extraction approach isproposed which is drawn from the gravity model and information entropy theories.This research canincrease understanding of the structure of urban systems,radiant ability,attractiveness and opennessof cities in the virtual web society.

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