Accession Number:

AD1037722

Title:

Information Dynamics in Networks: Models and Algorithms

Descriptive Note:

Technical Report,01 Aug 2014,31 Jul 2015

Corporate Author:

Duke University Durham United States

Personal Author(s):

Report Date:

2016-09-13

Pagination or Media Count:

12.0

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.

Subject Categories:

  • Sociology and Law
  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE