'Random graph' diaporamas de présentation

Large Graph Mining - Patterns, Tools and Cascade Analysis

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Making, avoiding and probabilistic intuition in positional games

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Graphs and Networks with Bioconductor

Graphs and Networks with Bioconductor. Wolfgang Huber EMBL/EBI Bressanone 2005 Based on chapters from "Bioinformatics and Computational Biology Solutions using R and Bioconductor", Gentleman, Carey, Huber, Irizarry, Dudoit, Springer Verlag, to appear Aug 2005. Graphs.

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Dynamics of networks

Jure Leskovec Computer Science Department Cornell University / Stanford University. Dynamics of networks. Today: Rich data. L arge on-line systems have detailed records of human activity On-line communities: Facebook (64 million users, billion dollar business) MySpace (300 million users)

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Christos Gkantsidis, Milena Mihail, Amin Saberi Presented by Paul Bogdan February 28 th , 2007

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443 views • 38 slides

Distinguishing Infinite Graphs

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Graph limits and graph homomorphisms

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GoMore Network Analysis

GoMore Network Analysis. Kate Lyndegaard GEOG 596A Mentor: Frank Hardisty. Outline. Motivation and summary What is network analysis? The project objective The GoMore network The preliminary results The next steps Thanks. Motivation and Summary. Motivation and Summary.

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Cooperation Prevails When Individuals Adjust Their Social Ties

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Handout # 4: The Science of Networks

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C&O 355 Mathematical Programming Fall 2010 Lecture 16

C&O 355 Mathematical Programming Fall 2010 Lecture 16. N. Harvey. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box .: A A A A A A A A A A. Topics. Semidefinite Programs (SDP) Vector Programs (VP) Quadratic Integer Programs (QIP) QIP & SDP for Max Cut

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Community structure and detection in complex networks

Community structure and detection in complex networks. Presenter: Guoliang Liu Date:4/25/2012. Outline. Background Introduction Definition Basic idea of partition Quality Function Classification Based On Algorithms Benchmarks Applications Conclusion . Background.

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Generating random regular graphs

Generating random regular graphs. J.H. Kim (Microsoft) V. Vu (UCSD).

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BFS algorithm for large graph stored in external memory

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P2P Content Search: Give the Web Back to the People

Santa Barbara, California, USA February 27-28, 2006 IPTPS 2006 - The 5th International Workshop on Peer-to-Peer System P2P Content Search: Give the Web Back to the People Outline of the Talk Feasibility of P2P Web Search Problem Statement Learning from Queries Exploiting Correlation

469 views • 16 slides

A Model Using Random Graph Theory

A Model Using Random Graph Theory. PRESENTED TO: CSIIR Workshop Oak Ridge National Lab PRESENTED BY*: Christopher Griffin Penn State Applied Research. * Richard R. Brooks of Clemson University contributed to this study. Goals of Presentation .

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The Structure of Scientific Collaboration Networks by M. E. J. Newman

The Structure of Scientific Collaboration Networks by M. E. J. Newman. CMSC 601 Paper Summary Marie desJardins January 27, 2009. Outline. Overview Social networks Scientific collaboration networks Properties Data sets Results Conclusions. Overview.

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Effect of Small-World Connectivity on Sparsely Synchronized Cortical Rhythms

Effect of Small-World Connectivity on Sparsely Synchronized Cortical Rhythms. W. Lim (DNUE) and S.-Y. KIM (LABASIS). ? Fast Sparsely Synchronized Brain Rhythms. ? Population Level: Fast Oscillations e.g., gamma rhythm (30~100Hz) and sharp-wave ripple (100~200Hz)

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0.5

1. 20. 10. 0.5. 0. 0. Value. Value. -10. -0.5. -20. -1. -30. 0. 500. 1000. 1500. 0. 500. 1000. 1500. Observations. Observations. 1.2. 1. 0.8. Distrubution. 0.6. 0.4. 0.2. 0. 0. 5. 10. 15. 20. 25. 30. 35. Eigenvalues. 1. 0.8. 0.6. Distribution. 0.4. 0.2.

105 views • 1 slides