Social network marketing seed user selection method considering influence of existing product

Abstract

The invention relates to a social network marketing seed user selection method considering the influence of an existing product, comprising: step 1, modeling a social network into a social graph G=(V,E, W), wherein a vertex set V represents a set of all social users in the social network, an edge set E represents a set of social relationships between the social users, and W represents a set of weights on all sides; step 2, initializing a seed user set S as an empty set, as described in the specification, wherein an initialized user set U is a set of all the user in step 1, as described in thespecification; and step 3, calculating the marketing influence of all users in the set U in step 2. The above-mentioned social network marketing seed user selection method considering the influence of the existing product considers the influence of the existing product on marketing product promotion, measures the marketing influence of social users in terms of social relations and existing products, uses the marketing return rate as the optimization goal and uses the two-way optimization method to select the seed user set to maximize the marketing return rate.

Description

technical field [0001] The invention relates to the fields of social network and information dissemination, in particular to a method for selecting seed users of social network marketing considering the influence of existing products. Background technique [0002] Online Social Networks (OSNs) such as Facebook, Twitter, Sina Weibo, and WeChat are constantly integrating into our daily lives. People make friends, express opinions and share information through social networks. Not only that, because social networks have lowered the threshold of communication, more and more users have begun to use social networks as an important tool for participating in social activities, thus migrating social activities to online, and online marketing and online shopping have become very popular nowadays , it can be seen that social networks are profoundly changing our lives. [0003] Today’s social network has a huge number of users, which contains huge research value and commercial value. F...

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Problems solved by technology

[0007] Based on this, the present invention provides a social network marketing seed user selection method that considers the influence of existing products in view of problems such as difficult budget determination, inaccurate measurement of marketing influence, lack of consideration of existing products, and high complexity of the method in existing methods. , carefully measure marketing influence from three aspects of user social network topological attributes, relationship intimacy and existing products, and replace income with rate of return, and propose an efficient algorithm for large-scale social networks to solve problems in large-scale social networks. Marketing and promotion issues on the Internet, to obtain the highest income with the smallest cost

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