Comparison of Fitness and Popularity: Fitness-Popularity Dynamic Network Model

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 94
  • Download : 0
Dynamic networks are ubiquitous in the world. So far, many dynamic network models have been developed in search of network growth mechanisms at the node and edge levels. Especially, a number of fitness models have been employed for analysis of fitness (i.e. a node's inherent ability or characteristics) and popularity effects on growing networks. However, these models are not suitable for comparing the magnitude of the fitness and popularity effects. We propose a statistical dynamic network model called a fitness-popularity dynamic network (FPDN) model, where fitness and popularity effects are on equal footing. These effects are estimated under the FPDN model and the estimation procedure are applied to the network data, Flickr following, Facebook wallpost, and arXiv citation. The estimates of the two effects seem to represent the characters of the three networks with noteworthy interpretations. It is interesting to see that the popularity of a node negatively affects the growth of the in-degree of the node for the arXiv citation network while the effect is positive for the other networks.
Publisher
IOP PUBLISHING LTD
Issue Date
2018-12
Language
English
Article Type
Article
Citation

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v.2018

ISSN
1742-5468
DOI
10.1088/1742-5468/aaeb40
URI
http://hdl.handle.net/10203/250008
Appears in Collection
IE-Journal Papers(저널논문)MA-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0