Please use this identifier to cite or link to this item:
|Title:||Modelling collaboration networks based on nonlinear preferential attachment|
|Keywords:||Collaboration network model|
Nonlinear preferential attachment
|Source:||Zhou, T., Wang, B.-H., Jin, Y.-D.I., He, D.A.-R., Zhang, P.-P., He, Y., Su, B.-B., Chen, K., Zhang, Z.-Z., Liu, J.-G. (2007-02). Modelling collaboration networks based on nonlinear preferential attachment. International Journal of Modern Physics C 18 (2) : 297-314. ScholarBank@NUS Repository. https://doi.org/10.1142/S0129183107010437|
|Abstract:||In this paper, we propose an alternative model for collaboration networks based on nonlinear preferential attachment. Depending on a single free parameter "preferential exponent", this model interpolates between networks with a scale-free and an exponential degree distribution. The degree distribution in the present networks can be roughly classified into four patterns, all of which are observed in empirical data. And this model exhibits small-world effect, which means the corresponding networks are of very short average distance and highly large clustering coefficient. More interesting, we find a peak distribution of act-size from empirical data which has not been emphasized before. Our model can produce the peak act-size distribution naturally that agrees with the empirical data well. © World Scientific Publishing Company.|
|Source Title:||International Journal of Modern Physics C|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 27, 2018
WEB OF SCIENCETM
checked on Feb 14, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.