Minimizing the Spread of Information in a Social Network by Blocking Links

Social network is becoming an increasingly popular media for information sharing. However, undesirable contents such as malicious rumors can spread through social networks among individuals. The technique to prevent undesirable content can also be applied in parenting control. As the more and more teenagers are using social network today, it is important to minimize the spread of undesirable contents into their ends. Thus, developing effective strategies for preventing the spread of undesirable spreading in a social network is an important research issue. This research is trying to design a new model to control the spread of contamination that is not proposed by previous works. The expected outcome of this research is to come up with a research paper that presents new models and algorithms for minimizing undesirable contents propagation in a social network.

Faculty Supervisor:

Anne Condon

Student:

Zilun Peng

Partner:

Discipline:

Computer science

Sector:

University:

Program:

Globalink