Self-adaptive network model based on incentive mechanism

Abstract

This paper proposes a self-adaptive network model based on incentive mechanism. The self-adaptive network based on the incentive mechanism is a highly aggregated super-community structure network formed by a larger community as the core and multiple small communities as affiliates. Compared with the traditional structure of the network, the network has a higher degree of agglomeration and the heavy-tailed distribution phenomenon of the real network, and it has a rich hierarchical structure and obvious community division. In the process of information dissemination, compared with traditional social networks, this network has obvious dissemination advantages. It can disseminate information to individuals in other locations in a short period of time under the action of an incentive mechanism to achieve many purposes, such as rapid post-disaster search and rescue, fugitive search, urgently refute rumors.