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Interpersonal interactions and human dynamics in a large social network

Listed author(s):
  • Grabowski, Andrzej
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    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.

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    Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

    Volume (Year): 385 (2007)
    Issue (Month): 1 ()
    Pages: 363-369

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    Handle: RePEc:eee:phsmap:v:385:y:2007:i:1:p:363-369
    DOI: 10.1016/j.physa.2007.06.005
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    1. Harder, Uli & Paczuski, Maya, 2006. "Correlated dynamics in human printing behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 329-336.
    2. Ghoshal, Gourab & Holme, Petter, 2006. "Attractiveness and activity in Internet communities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 603-609.
    3. Hellervik, A. & Rodgers, G.J., 2007. "A power law distribution in patients’ lengths of stay in hospital," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 235-240.
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