Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13464
Title: Impact of degree mixing pattern on consensus formation in social networks
Authors: Liu, XF
Tse, CK 
Keywords: Consensus
Degree mixing pattern
Social network
Twitter
Issue Date: 2014
Publisher: North-Holland
Source: Physica A. Statistical mechanics and its applications, 2014, v. 407, p. 1-6 How to cite?
Journal: Physica A. Statistical mechanics and its applications 
Abstract: The consensus formation process in a social network is affected by a number of factors. This paper studies how the degree mixing pattern of a social network affects the consensus formation process. A social network of more than 50,000 nodes was sampled from the online social services website Twitter. Nodes in the Twitter user network are grouped by their in-degrees and out-degrees. A degree mixing correlation is proposed to measure the randomness of the mixing pattern for each degree group. The DeGroot model is used to simulate the consensus formation processes in the network. Simulation suggests that the non-random degree mixing pattern of social networks can slow down the rate of consensus.
URI: http://hdl.handle.net/10397/13464
ISSN: 0378-4371
EISSN: 1873-2119
DOI: 10.1016/j.physa.2014.03.086
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