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The influence propagation runs in discrete steps.
Another important problem in social networks is influence propagation.
Assume the gray-directed arcs are the possible influence propagation.
MAMK CP has the maximum sum of influence propagation.
Therefore, maximizing the sum of influence propagation within each community is not just minimizing the influence propagation crossing different communities.
However, maximizing the sum of influence propagation within each community is not equivalent to minimizing the influence propagation crossing different communities.
If the influence propagation function σ is super-modular, AM2CP is an optimal solution for M2CP.
Bonacich [38] proposed eigenvector centrality that measures influence propagation in a network structure.
We believe this study is useful for the influence propagation problems.
Community partition and influence propagation are important problems in social networks.
Therefore, the influence propagation function σ in the LT model is super-modular.
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