Multi-State Open Model based on Positive and Negative Social Influences

Abstract

Since the tremendous success of social networking websites the research on related analysis have widely been studied Among these research the social influence is a significant and popular topic We rely on the social influence model to predict and learn the influence diffusion process There are several influence models proposed before However traditional models only categorize nodes into two types of state active and inactive This strategy causes some problems Previous models only take the positive influence into account In addition if the inactive nodes are influenced successfully as active nodes these active nodes could not return to inactive nodes In this work we not only improve above limitations but also propose an novel propagation method in our model Our model proposes five states to represent the multiple states of influence By our propagation method the strength of social influence might be reduced when time elapsed Eventually we utilize the measurement of precisions to compare with related models Our model outperforms than other models with two states In addition we predict the result of five states using our model By means of experiment result we indicate the importance of multiple states

Date of Award	2014 Aug 26
Original language	English
Supervisor	Jen-Wei Huang (Supervisor)