Understanding the effects of administrative boundary in sampling   spatially embedded networks

doi:10.1016/j.physa.2016.09.023

CORC > 北京大学 > 地球与空间科学学院

	Understanding the effects of administrative boundary in sampling spatially embedded networks
	Chi, Guanghua ; Liu, Yu ; Shi, Li ; Gao, Yong
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2017
关键词	Spatially embedded network Sampled network Administrative boundary MOBILE PHONE DATA SOCIAL NETWORKS MISSING DATA
DOI	10.1016/j.physa.2016.09.023
英文摘要	When analyzing spatially embedded networks, networks consisting of nodes and connections within an administrative boundary are commonly analyzed directly without considering possible errors or biases due to lost connections to nodes outside the network. However, connections exist not only within administrative boundaries but also to nodes outside of the boundaries. This study empirically analyzed the geographical boundary problem using a mobile communication network constructed based on mobile phone data collected in Heilongjiang province, China. We find that although many connections outside of the administrative boundary are lost, sampled networks based on administrative boundaries perform relatively well in terms of degree and clustering coefficient. We find that the mechanisms behind the reliability of these sampled networks include the effects of distance decay and cohesion strength in administrative regions on spatially embedded networks. (C) 2016 Elsevier B.V. All rights reserved.; National Natural Science Foundation of China [41271385, 41271386, 41428102]; SCI(E); ARTICLE; 616-625; 466
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/475695]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Chi, Guanghua,Liu, Yu,Shi, Li,et al. Understanding the effects of administrative boundary in sampling spatially embedded networks[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2017.
APA	Chi, Guanghua,Liu, Yu,Shi, Li,&Gao, Yong.(2017).Understanding the effects of administrative boundary in sampling spatially embedded networks.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS.
MLA	Chi, Guanghua,et al."Understanding the effects of administrative boundary in sampling spatially embedded networks".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017).