Paper Info
Title
Linear Threshold Behavioral Model for the Spread of Influence in Recommendation Services
Abstract
Understanding and modeling the spread of influence is an important topic in social network analysis and therefore attracts many researchers to this area. It has several practical applications such as viral marketing. In this paper, we propose a new method (Linear Threshold Behavioral Model) for modeling the spread of influence in social networks. Experiments were conducted on three, real-world datasets regarding the domain of recommendation services and the method was compared with popular, state-of-the-art methods devoted to modeling the spread of influence. The results indicate a high accuracy of the method.
Year
DOI
Venue
2015
10.1109/ENIC.2015.22
2015 Second European Network Intelligence Conference
Keywords
Field
DocType
LTB,Linear Threshold Behavioral Model,LT,LTC,influence,recommendation services
Data science,Data mining,Data modeling,Viral marketing,Social network,Computer science,Social network analysis,Behavioral modeling
Conference
Citations 
PageRank 
References 
0
0.34
13
Authors
3
Name
Order
Citations
PageRank
Bartosz Niemczura100.34
Bogdan Gliwa2778.62
Anna Zygmunt39511.91