Towards A Framework For Measuring The Index Node Considering Local And Global Networks

This paper proposed a solution using multi-index method to evaluating node importance locally and globally with adjusted parameters in the network by considering several evaluation indexes. Especially, it adheres to the principles that the node importance of the network is relevant to the value of the node itself together with the centrality of neighbor nodes from a local point of view. Moreover, this paper considered both spreading information and speed of node in dynamic network The chief influence on adjusted parameters in different network has been estimated. From the result we can rank the influence of users and analyzing their tags of interest, we can also make valuable classification of users and improve the service for more personalized services, which is very important for data mining.