Method and device for confirming influence sequencing of users

Abstract

An embodiment of the invention provides a method and a device for confirming influence sequencing of users. The method comprises the steps of obtaining first information and second information, wherein the first information is used for indicating the mutual focusing relation of N users in a social network, and the second information is used for indicating the message number sent by the user in N users and schemes of messages sent by the users; confirming N-dimensional weight vectors corresponding to target schemes according to the first information and the second information; obtaining third information, wherein the third information is used for indicating the number of messages forwarded by the users having message forwarding relation and the schemes of the forwarded messages; confirming transition probability matrixes corresponding to the target schemes according to the third information; utilizing a Pecs sorting algorithm to confirm the influence sequencing of N users in the social network in the target scheme field. The actual relevancy of the users in the social network is reflected, so that the accuracy of an influence sequencing result is effectively improved.

Description

technical field [0001] The invention relates to the field of computer networks, and in particular to a method and a device for determining the order of influence of users. Background technique [0002] With the popularization of high-speed wireless networks, network media plays an increasingly important role in social information dissemination and business fields. For example, comprehensive information portals and social networks have gradually replaced traditional media as the most important platforms for information dissemination, and influential websites and users on these network information and social platforms have played a role in promoting the spread of events. [0003] Finding important network nodes (such as websites, mobile phone users, Weibo or WeChat users, operator gateways, etc.) that play an important role in the intricate and huge network of user relationships is the key to product promotion or information dissemination monitoring. Therefore, finding influe...

AI Technical Summary

Problems solved by technology

[0008] However, in the social network, the above topic-oriented Page sorting algorithm has the following disadvantages: the selection of the weight vector is simply represented by 0 or 1, that is, relevant or irrelevant, and in practice, there is also a problem between users related to the target topic. There are differences in the degree of correlation, and the expression of the above weight vector is not accurate enough

Can not reflect the actual social relationship, so the accuracy of the influence ranking results is low

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