Visualization of trustworthiness graphs

Stephen Mayhew, Dan Roth

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Trustworthiness is afield of research that seeks to estimate the credibility of information by using knowledge of the source of the information. The most interesting form of this problem is when different pieces of information share sources, and when there is conflicting information from different sources. This model can be naturally represented as a bipartite graph. In order to understand this data well, it is important to have several methods of exploring it. A good visualization can help to understand the problem in a way that no simple statistics can. This paper defines several desiderata for a " visualization and presents three different visualization methods for trustworthiness graphs. The first visualization method is simply a naive bipartite layout, which is infeasible in nearly all cases. The second method is a physics-based graph layout that reveals some interesting and important structure of the graph. The third method is an orthogonal approach based on the adjacency matrix representation of a graph, but with many improvements that give valuable insights into the structure of the trustworthiness graph. We present interactive web-based software for the third form of visualization.

Original languageEnglish (US)
Title of host publicationWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450334730
StatePublished - May 18 2015
Externally publishedYes
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: May 18 2015May 22 2015

Publication series

NameWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web


Other24th International Conference on World Wide Web, WWW 2015


  • Adjacency matrix
  • Graph
  • Trustworthiness
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software


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