Social Network Analysis over HIN

Introduction

In the last years, the evolution of modern social networks has transformed them into multimedia networks, in which users perform a large number of actions, which may also involve different type of entities (i.e. tags, images, papers), falling under the umbrella term Heterogeneous Information Network (HIN).

Novel SNA methodologies have to be developed for exploiting HIN’s information, also considering multimedia data, to support different applications (i.e. influence analysis, community detection, viral marketing).

Available Theses

  • Influence analysis over HIN;
  • Community Detection over HIN;
  • Deception activities in community detection over HIN.
  • Recommendation over HIN.

Theses In progress

  • None at the moment

Project & Collaborations

In progress

References

  • Giancarlo Sperlì (This email address is being protected from spambots. You need JavaScript enabled to view it.)