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A comparative analysis of the statistical properties of large mobile phone calling networks
- Source :
- Scientific Reports
- Publication Year :
- 2014
-
Abstract
- Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual calling network. The preferential communication behavior between two connected users can be statistically tested and it results in two Bonferroni networks with statistically validated edges. We perform a comparative analysis of the statistical properties of these four networks, which are constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days. We find that these networks share many common structural properties and also exhibit idiosyncratic features when compared with previously studied large mobile calling networks. The empirical findings provide us an intriguing picture of a representative large social network that might shed new lights on the modelling of large social networks.
- Subjects :
- FOS: Computer and information sciences
Physics - Physics and Society
China
Computer science
FOS: Physical sciences
Information Storage and Retrieval
Physics and Society (physics.soc-ph)
Article
Social Networking
Computer Communication Networks
Socio-technical systems
Computer Simulation
Proxy (statistics)
Human communication
Statistic
Social and Information Networks (cs.SI)
Multidisciplinary
Models, Statistical
Social network
business.industry
Statistical physic
Computer Science - Social and Information Networks
Nonlinear phenomena
Complex network
Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
Mobile phone
business
Telecommunications
Cell Phone
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....2877b1db2be31afe6d52187a02f9eb36