Social-network-based internet insurance marketing method and system

Abstract

The invention discloses a social-network-based internet insurance marketing method and system. The method comprises: according to related insurance data, a broker social network chart and a broker sharing product network chart are constructed respectively, community division is carried out on a plurality of first sub charts to obtain a plurality of first community structures, and community division is carried out on a plurality of second sub charts to obtain a plurality of second community structures; respective node network indexes of the plurality of first sub charts and the plurality of first community structures are calculated and respective KPI indexes of the plurality of second sub charts and the plurality of second community structures are calculated; and the multiple node network indexes and the multiple KPI indexes are analyzed and internet insurance marketing is carried out based on analysis results. Therefore, marketing of internet insurance products is carried out effectively; the probability of success of the internet insurance marketing is increased; and the purchase demands of network consumers are satisfied.

Description

technical field [0001] The present invention relates to the technical field of social network, in particular to a social network-based Internet insurance marketing method and system. Background technique [0002] A social network refers to a network of relationships between individuals, and its theoretical basis comes from the Six Degrees of Separation theory and the Rule of 150. In social networks, users and users, users and topics, and users and activities can form a network of relationships, thereby forming massive data based on graph structures. One of the main directions for analyzing social networks is graph data mining for relationship graphs. [0003] Communities reflect the local characteristics of individual behaviors in the network and their interrelationships. The study of communities in the network plays a vital role in understanding the structure and function of the entire network, and helps to analyze and predict the entire network. Interactions between eleme...

AI Technical Summary

Problems solved by technology

The traditional offline insurance marketing model has high marketing costs. Therefore, with the continuous development of Internet technology, traditional insurance companies and Internet giants have deployed Internet insurance. The probability of success is low, and there may be repeated marketing of the same insurance product to the same user, which not only causes unnecessary waste of resources, increases marketing costs, but also arouses resentment from online consumers, resulting in a lower probability of success in Internet insurance marketing. not tall

[0005] How to use social network technology to effectively market Internet insurance products, so as to improve the probability of Internet insurance marketing success, and at the same time meet the purchase needs of online consumers, the industry has not yet proposed a technical solution

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