MSP-N: Multiple selection procedure with ‘N’ possible growth mechanisms

Autoři: Pradumn Kumar Pandey aff001;  Mayank Singh aff002
Působiště autorů: Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, India aff001;  Computer Science and Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India aff002
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0224383


Network modeling is a challenging task due to non-trivial evolution dynamics. We introduce multiple-selection-procedure with ‘N’ possible growth mechanisms (MSP-N). In MSP-N, an incoming node chooses a single option among N available options to link to pre-existing nodes. Some of the potential options, in case of social networks, can be standard preferential or random attachment and node aging or fitness. In this paper, we discuss a specific case, MSP-2, and shows its efficacy in reconstructing several non-trivial characteristic properties of social networks, including networks with power-law degree distribution, power-law with an exponential decay (exponential cut-off), and exponential degree distributions. We evaluate the proposed evolution mechanism over two real-world networks and observe that the generated networks highly resembles the degree distribution of the real-world networks. Besides, several other network properties such as high clustering and triangle count, low spectral radius, and community structure, of the generated networks are significantly closer to the real-world networks.

Klíčová slova:

Aging – Clustering coefficients – Community structure – Eigenvalues – Network analysis – Protein interaction networks – Social networks – Operator theory


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