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The Research On Customer Relationship Of Social Network Sites Based On Complex Network

Posted on:2014-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:H TuFull Text:PDF
GTID:2267330422452232Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the arrival of the ear of Web2.0, the network is developing rapidly, social networksites have emerged during this period, all kinds of social network sites have sprung up, withpassage of time, the functionality of social network sites is constantly being improved, peoplealso began to increasingly concerned about the commercial value of the social network sites,more and more in-depth research for it, one of an important direction is the social networksites customer relationship. Social network sites have real user information, user stickinessand user relationship network, it provides new ideas and direction for customer relationshipmanagement. The key of building a social network sites customer relationship managementtheory and application is social network sites customer relationship, it has importanttheoretical significance and application value.This paper uses the complex network theory and multi-agent simulation theory to studythe social network customer relations, research on the social networking site customerrelationship from the two aspects of user behavior and network positioning. First investigatethe behavioral characteristics of social networking site users through questionnaires, forminga series of quantitative indicators to describe the social network users and their behavior, andtry to find some relations between these indicators; subsequently, design a network spider toget the information of the social network sites, by the analysis of the data collected, study thesocial network sites user network, and establishment of a user network status evaluationmodel; then proposed social network sites customer value evaluation model, customersegmentation model and marketing pipeline model from user behavior and network status, toform a social network sites customer relationship management system; finally, by improvingthe traditional SIR model, set a social network sites information spread model, and useNETLOGO simulation tools to simulate the model, studying the social network sitesinformation propagation have important guiding significance to the social network sitescustomer management and commercial activities based on social network sites.This paper stood the height of customer relationship management, try to solve the keyissue of social network sites customer relationship modeling, explore the research field ofcustomer relationship management, rich social network sites business model, research canprovide theoretical support for research in the social network sites customer relationshipmanagement and application development.
Keywords/Search Tags:social network sites, customer relationship, complex network, multi-agent
PDF Full Text Request
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