Influential node detection of social networks based on network invulnerability

摘要: Abstract Detecting influential nodes is still a popular issue in social networks and many excellent detecting methods have been put forward. However, most of them aim to improve the accuracy efficiency algorithm, but ignore invulnerability networks. Based on essential factors influence propagation (such as location neighborhood source node, rate) network invulnerability, we propose novel strategy search terms local topology global location. Two important indicators are node diffusion degree cohesion degree, which used increase probability reduce feasibility collapse. More specially, loss applied evaluate impact algorithm from perspective invulnerability. The experimental results real show that our method achieves an balance between detected ones great can resist certain damage disturbance