Preferential Attachment for Copying Models

Suppose you start analysing the evolution of a real-network that you are interested in. When studying its growth, you identify that it can be mapped as a copying model. The current state of the network has 2018 nodes and 2930 links, and a new node has a probability of 0.137 to select randomly a target node u. What are the preferential attachment values for this new node to connect with nodes of degree 13 and 21 (Rounding to Three Decimal Places)?


A. Π(13) : 0.003, Π(21) : 0.005

B. Π(13) : 0.002, Π(21) : 0.003

C. Π(13) : 0.002, Π(21) : 0.004

D. Π(13) : 0.003, Π(21) : 0.001

E. None of the above.


Original idea by: Felipe Crispim da Rocha Salvagnini

Comentários

  1. Joao Meidanis22 de maio de 2022 às 06:30

    I thought that in the copying model one would have as many links as nodes. Why isn't this true for your network?

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    Respostas
    1. Felipe Crispim da Rocha Salvagnini22 de maio de 2022 às 12:29

      I based my assumption of the fact that the author states that the Protein Network can be mapped as a copying model. So I based the number of nodes and links in the numbers of the Protein Interactions Network. Is it wrong?

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