2007
DOI: 10.1073/pnas.0610245104
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Structure and tie strengths in mobile communication networks

Abstract: Electronic databases, from phone to e-mails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction strengths and the network's local structure, with the counterintuitive … Show more

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Cited by 1,630 publications
(1,527 citation statements)
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References 33 publications
(35 reference statements)
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“…This suggests that our model captures dynamics of real-world networks and has some predictive value. We think that the experimental procedure (temporally clearly limited measurements of networks) behind the data reported in [26] is much more comparable to the averaging procedure in our simulations than the procedures behind many other investigations hitherto, which often involve effects of growth.…”
Section: Experimental Evidence For Cooperation Networkmentioning
confidence: 73%
See 2 more Smart Citations
“…This suggests that our model captures dynamics of real-world networks and has some predictive value. We think that the experimental procedure (temporally clearly limited measurements of networks) behind the data reported in [26] is much more comparable to the averaging procedure in our simulations than the procedures behind many other investigations hitherto, which often involve effects of growth.…”
Section: Experimental Evidence For Cooperation Networkmentioning
confidence: 73%
“…It is reasonable to assume that communication between cooperating individuals will dominate the total number of calls, while non-cooperating individuals will avoid communication. There exists recent research on real mobilephone-call networks [26]. In this study, a power-law degree distribution with a characteristic exponent γ mobile ∼ 8.4 was found.…”
Section: Experimental Evidence For Cooperation Networkmentioning
confidence: 84%
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“…Furthermore, in weighted networks, the relationship between weights and topology provides an additional source of possible influence on the spreading dynamics. Especially for social networks it is known that links within communities are strong, while links between them are weaker [11] -such Granovetterian structure enhances the trapping effect by the communities, leading to further slowing down of spreading [11,5].…”
Section: Introductionmentioning
confidence: 99%
“…In the pre-digital era it was almost impossible to verify his ideas at scale. But in 2007, a team led by Jukka-Pekka Onnela, a network scientist now at Harvard University in Cambridge, Massachusetts, used data on 4 million mobile-phone users to confirm that weak ties do indeed act as societal bridges 7 (see 'The power of weak ties').…”
Section: Social Callsmentioning
confidence: 99%