Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0129183107010437
Title: Modelling collaboration networks based on nonlinear preferential attachment
Authors: 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.
Keywords: Collaboration network model
Complex networks
Nonlinear preferential attachment
Issue Date: Feb-2007
Citation: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/97235
ISSN: 01291831
DOI: 10.1142/S0129183107010437
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