Advertisement

Modeling and Algorithmic Challenges in Online Social Networks

  • Ravi Kumar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5577)

Abstract

Online social networks have become major and driving phenomena on the web. In this talk we will address key modeling and algorithmic questions related to large online social networks. From the modeling perspective, we raise the question of whether there is a generative model for network evolution. The availability of time-stamped data makes it possible to study this question at an extremely fine granularity. We exhibit a simple, natural model that leads to synthetic networks with properties similar to the online ones. From an algorithmic viewpoint, we focus on challenges posed by the magnitude of data in these networks. In particular, we examine topics related to influence and correlation in user activities and compressibility of such networks.

Keywords

Social Network Data Structure Pattern Recognition Generative Model Problem Complexity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ravi Kumar
    • 1
  1. 1.Yahoo! ResearchSunnyvaleUSA

Personalised recommendations