Interpersonal interactions and human dynamics in a large social network

Andrzej Grabowski

Physica A: Statistical Mechanics and its Applications, 2007, vol. 385, issue 1, 363-369

Abstract: We study a large social network consisting of over 106 individuals, who form an Internet community and organize themselves in groups of different sizes. On the basis of the users’ list of friends and other data registered in the database we investigate the structure and time development of the network. The structure of this friendship network is very similar to the structure of different social networks. However, here a degree distribution exhibiting two scaling regimes, power-law for low connectivity and exponential for large connectivity, was found. The groups size distribution and distribution of number of groups of an individual have power-law form. We found very interesting scaling laws concerning human dynamics. Our research has shown how long people are interested in a single task.

Keywords: Complex networks; Human dynamics; Power-law distributions (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:385:y:2007:i:1:p:363-369

DOI: 10.1016/j.physa.2007.06.005

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