DYNAMICS OF USER NETWORKS IN ON-LINE ELECTRONIC AUCTIONS
František Slanina ()
Additional contact information
František Slanina: Institute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 2, CZ-18221 Praha, Czech Republic
Advances in Complex Systems (ACS), 2014, vol. 17, issue 01, 1-14
Abstract:
The network of users in the Internet auction site Aukro.cz is analyzed. We show that the fluctuations in the activity of users has non-Gaussian distribution with long-time correlations. The bipartite network of auctions and users has degree distribution following a stretched exponential. The networks observed within a short time windows are highly fragmented and their structure exhibits long memory, which is observed in the power-law decay of correlations, with a small exponent around 0.2.
Keywords: Social network; time series; Internet (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525914500027
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:17:y:2014:i:01:n:s0219525914500027
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219525914500027
Access Statistics for this article
Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer
More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().