A detection method and system for a node with maximum influence in a social network
A technology of social network and detection method, which is applied in the detection field of influence maximization nodes, can solve the problems of overlapping influence coverage, high efficiency, and low computational complexity, and achieve overlapping influence coverage, high efficiency, The effect of low computational complexity
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[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0050] like figure 1 As shown, in the embodiment of the present invention, a method for detecting nodes with the greatest influence in a social network is proposed, which includes the following steps:
[0051] Step S1, obtaining the network model given by the social network;
[0052] The specific process is that a social network can be described as an undirected graph, which is represented by a network model G(V,E); where V represents a node in the social network and represents a user in the network; E represents a node in the social network Edges represent relationships between users, such as family members and friends.
[0053] Each node has two initial states, namely active and inactive. Only a node in the active state has influence on the node it points to. ...
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