Understanding Community Effects on Information Diffusion

Abstract

In social network research, community study is one flourishing aspect which leads to insightful solutions to many practical challenges. Despite the ubiquitous existence of communities in social networks and their properties of depicting users and links, they have not been explicitly considered in information diffusion models. Previous studies on social networks discovered that links between communities function differently from those within communities. However, no information diffusion model has yet considered how the community structure affects the diffusion process.

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Document Details

Document Type
Technical Report
Publication Date
May 22, 2015
Accession Number
AD1015840

Entities

People

  • Guan Wang
  • Philip S. Yu
  • Qingbo Hu
  • Shuyang Lin

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Clustering
  • Communities
  • Computer Science
  • Data Mining
  • Data Science
  • Decoupling
  • Detection
  • Diffusion
  • Estimators
  • Learning
  • Machine Learning
  • Monte Carlo Method
  • Social Networks
  • Statistical Sampling

Fields of Study

  • Computer science

Readers

  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation
  • Political Violence and Terrorism Studies.