'Giant component' presentation slideshows

Network Models

Social Media Mining. Network Models. Why should I use network models?. In may 2011, Facebook had 721 millions users. A Facebook user at the time had an average of 190 users -> a total of 68.5 billion friendships What are the principal underlying processes that help initiate these friendships

755 views • 56 slides

A Geographical Analysis of Knowledge Production in Computer Science

912 views • 55 slides

Analyzing the Vulnerability of Superpeer Networks Against Churn and Attack

Analyzing the Vulnerability of Superpeer Networks Against Churn and Attack. Niloy Ganguly Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur Kharagpur 721302.

594 views • 51 slides

Threshold Phenomena and Fountain Codes

Threshold Phenomena and Fountain Codes. Amin Shokrollahi. EPFL Joint work with M. Luby, R. Karp, O. Etesami. BEC(p 1 ). BEC(p 2 ). BEC(p 3 ). BEC(p 4 ). BEC(p 5 ). BEC(p 6 ). Communication on Multiple Unknown Channels. Example: Popular Download. Example: Peer-to-Peer.

503 views • 50 slides

TELCOM2125: Network Science and Analysis

453 views • 45 slides

A Note on Emerging Science for Interdependent Networks

A Note on Emerging Science for Interdependent Networks. Junshan Zhang School of ECEE, Arizona State University Network Science Workshop, July 2012 (Based on joint work with Osman Yagan and Dajun Qian). From Individual Networks to Network of Networks.

545 views • 44 slides

Lecture 18 Network dynamics

Lecture 18 Network dynamics. Slides are modified from Lada Adamic and Jure Leskovec. Outline. dynamic appearance/disappearance of individual nodes and links new links (university email network over time) team assembly (coauthor & collaborator networks)

554 views • 42 slides

Network resilience

588 views • 41 slides

Advanced Topics in Data Mining Special focus: Social Networks

Advanced Topics in Data Mining Special focus: Social Networks. Reminders. By the end of this week/ beginning of next we need to have a tentative presentation schedule Each one of you should send me an email about a theme by Friday, February 22. What did we learn in the last lecture?.

505 views • 38 slides

The Structure of Networks

526 views • 37 slides

Analyzing the Vulnerability of Superpeer Networks Against Attack

Analyzing the Vulnerability of Superpeer Networks Against Attack. Niloy Ganguly Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur Kharagpur 721302. Co-authors Bivas Mitra, Fernando Peruani, Sujoy Ghose. Node. Node. Node. Internet. Node. Node.

504 views • 35 slides

Algorithmic and Economic Aspects of Networks

Algorithmic and Economic Aspects of Networks. Nicole Immorlica. Random Graphs. What is a random graph?. Erdos-Renyi Random Graphs. Specify number of vertices n edge probability p For each pair of vertices i < j, create edge (i,j) w/prob. p. G(n,p). Erdos-Renyi Random Graphs.

378 views • 28 slides

COMS 6998-06 Network Theory Week 2: September 15, 2010

COMS 6998-06 Network Theory Week 2: September 15, 2010. Dragomir R. Radev Wednesdays, 6:10-8 PM 325 Pupin Terrace Fall 2010. (3) Random graphs. Statistical analysis of networks. We want to be able to describe the behavior of networks under certain assumptions.

336 views • 19 slides

Network Science: A Short Introduction i3 Workshop

191 views • 17 slides

261 views • 15 slides

Detection of giant component from pulsar PSR J0653+8051

281 views • 14 slides

Percolation in Living Neural Networks Ilan Breskin, Jordi Soriano , Tsvi Tlusty, and Elisha Moses

Percolation in Living Neural Networks Ilan Breskin, Jordi Soriano , Tsvi Tlusty, and Elisha Moses Department of Physics of Complex Systems, The Weizmann Institute of Science, Rehovot, Israel. Abstract

91 views • 1 slides