Profiling People in Social Graphs

Abhijit Kashyap, Anoop Aparajit

Abstract


Our world is now a connected place. Through social networking, the Internet has brought people closer together than they ever have been. The result is a complex, massive and global web or graph of people and the relationships between them. This is both useful and dangerous. In this paper, we aim to reveal the power of the social graph, showing how it can be used to gather information about a person and build an accurate profile about him. A social graph can also tell us the 'proximity' of a person to others, which in many cases can provide valuable insights to security agencies and governments.


Full Text:

PDF

References


https://en.wikipedia.org/wiki/Glossary_of_graph_theory

https://research.facebook.com/blog/three-and-a-half-degrees-of-separation/

Gilbert and Karahalios - Predicting Tie Strength With Social Media - http://leonidzhukov.net/hse/2011/seminar/papers/chi09-tie-gilbert.pdf

Roth et al – Suggesting Friends Using the Implicit Social Graph - http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36371.pdf

Roth et al. - Suggesting (More) Friends Using the Implicit Social Graph - http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37120.pdf




DOI: http://dx.doi.org/10.52155/ijpsat.v3.1.41

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 Abhijit Kashyap, Anoop Aparajit

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.