Information Dynamics in Networks: Models and Algorithms

Abstract

In this project, we investigated how network structure interplays with higher level processes in online social networks. We investigated the appropriateness of existing mathematical models for explaining the structure of retweet cascades on Twitter; we investigated how to detect spam accounts on Facebook and other social networks by graph analytics; and finally we investigated how to design pricing schemes for users on a social network when their valuations are influenced by their neighbors in the network.

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Document Details

Document Type
Technical Report
Publication Date
Sep 13, 2016
Accession Number
AD1037722

Entities

People

  • Kamesh Munagala

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Data Analysis
  • Defense Systems
  • Department Of Defense
  • Electronic Mail
  • Engineering
  • Mathematical Models
  • Models
  • Motivation
  • Online Communications
  • Probability
  • Social Media
  • Social Networking Services
  • Social Networks
  • Standards
  • Students

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Theoretical Analysis.