Website: cs.cornell.edu

Rank: 263 / 692

3 selected articles

Jon Kleinberg's Homepage - Cornell University

I. Kloumann, L. Adamic, J. Kleinberg, S. Wu. The Lifecycles of Apps in a Social Ecosystem. Proc. 24th International World Wide Web Conference, 2015.

J. Cheng, L. Adamic, A. Dow, J. Kleinberg, J. Leskovec. Can Cascades Be Predicted? Proc. 23rd International World Wide Web Conference, 2014.

See also the Facebook Data Science blog post about this work.

L. Backstrom, J. Kleinberg, L. Lee, C....

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Related topics : aaai conference on weblogs and social media / social network analysis conference 2009 / social network conference / social media in government conference 2014 / social media for government conference 2012

The Small-World Phenomenon: An Algorithmic Perspective 1

   

Figure 1: (A) A two-dimensional grid network with n = 6, p = 1, and q = 0. (B) The contacts of a node u with p = 1 and q = 2. v and w are the two long-range contacts.

In designing our network model, we seek a simple framework that encapsulates the paradigm of Watts and Strogatz -- rich in local connections, with a few long-range connections. Rather than using a ring as the basic structure,...

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Related topics : small world phenomenon social networks / small world property social networks / small world social network analysis / clustering algorithms for social network analysis / the small world theory of social network

The Small-World Phenomenon: An Algorithmic Perspective 1

   

Figure 1: (A) A two-dimensional grid network with n = 6, p = 1, and q = 0. (B) The contacts of a node u with p = 1 and q = 2. v and w are the two long-range contacts.

In designing our network model, we seek a simple framework that encapsulates the paradigm of Watts and Strogatz -- rich in local connections, with a few long-range connections. Rather than using a ring as the basic structure,...

Read more

Related topics : small world phenomenon social networks / small world property social networks / small world social network analysis / clustering algorithms for social network analysis / the small world theory of social network