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Structure / Graph theory / Mathematics / Degree distribution / Interpersonal ties / Social network / Networks / Network theory / Science


The emergence and role of strong ties in time-varying communication networks M´arton Karsai1,2 , Nicola Perra1 , and Alessandro Vespignani 1 ∗1,3,4
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Document Date: 2013-03-25 20:26:54


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File Size: 4,34 MB

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City

Cambridge / Turin / /

Country

United States / /

Currency

ZAR / IDR / /

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Facility

Aalto University / Northeastern University / Italy Institute / Harvard University / /

IndustryTerm

activity-driven network / immediate social network / activitydriven generative algorithm / driven network / real communication networks / random aggregated network / synthetic time-varying networks / generative algorithm / activitydriven network / time-varying communication networks / dynamical networks / activity-driven networks / statistical law / collaboration systems / time-varying networks / real world systems / social networks / pervasive technologies / time-varying network / social network / communication network / local egocentric networks / prototypical large scale communication network / egocentric networks / egocentric network / final integrated network / rapidly evolving time-varying networks / /

Organization

Italy Institute for Quantitative Social Sciences / Harvard University / Aalto University / Scientific Interchange Foundation / National Science Foundation / Northeastern University / School of Science and Technology / Laboratory for the Modeling of Biological and Socio-technical Systems / Northeastern University Institutional Review Board / /

Person

Alessandro Vespignani / /

Position

actor / model network dependent / /

Product

Nokia N80 Smartphone / /

ProgrammingLanguage

ML / /

ProvinceOrState

Massachusetts / /

Technology

activitydriven generative algorithm / cellular telephone / generative algorithm / simulation / mobile devices / /

SocialTag