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Understanding how a scientist develops new scientific collaborations or how their papers receive new citations is a major challenge in scientometrics. The approach being proposed simultaneously examines the growth processes of the co-authorship and citation networks by analyzing the evolutions of the rich get richer and the fit get richer phenomena. In particular, the preferential attachment function...
The community of lawyers and their clients form a scale-free bipartite network that develops naturally as the outcome of the recommendation process through which lawyers form their client base. This process is an example of preferential attachment where lawyers with more clients are more likely to be recommended to new clients. Consumer litigation is an important market for lawyers. In large consumer...
In line with the BA model, we propose a new growing network, Group preferential model, which incorporates a precise evolving mechanism. And from the perspective of Markov chain, explicit formulas are derived analytically characterizing the evolution and distribution of degree, which is scale-free with scaling exponent related with parameter m.
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