'Scale free networks' diaporamas de présentation

Understanding and Managing Cascades on Large Graphs

Understanding and Managing Cascades on Large Graphs. B. Aditya Prakash Carnegie Mellon University ? Virginia Tech. Christos Faloutsos Carnegie Mellon University. Aug 29, Tutorial, VLDB 2012, Istanbul. Networks are everywhere!. Facebook Network [2010].

1.55k views • 155 slides

Dynamical Processes on Large Networks

Dynamical Processes on Large Networks. B. Aditya Prakash http://www.cs.cmu.edu/~badityap Carnegie Mellon University. UMD-College Park, April 26, 2012. Networks are everywhere!. Facebook Network [2010]. Gene Regulatory Network [ Decourty 2008]. Human Disease Network [ Barabasi 2007].

1.21k views • 112 slides

Dynamical Processes on Large Networks

Dynamical Processes on Large Networks. B. Aditya Prakash http://www.cs.cmu.edu/~badityap Carnegie Mellon University. UMD-College Park, April 26, 2012. Networks are everywhere!. Facebook Network [2010]. Gene Regulatory Network [ Decourty 2008]. Human Disease Network [ Barabasi 2007].

1.13k views • 112 slides

Propagation on Large Networks

874 views • 87 slides

title title

title title. The Architecture of Complexity: From the WWW to network biology. www.nd.edu/~networks. Bio-Map. GENOME. protein-gene interactions. PROTEOME. protein-protein interactions. METABOLISM. Bio-chemical reactions. Citrate Cycle. Connect with probability p. p=1/6 N=10 ?k? ~ 1.5.

1.03k views • 86 slides

Leveraging Propagation for Data Mining Models, Algorithms & Applications

Leveraging Propagation for Data Mining Models, Algorithms & Applications. B. Aditya Prakash Naren Ramakrishnan. August 10, Tutorial, SIGKDD 2016, San Francisco. About us. B. Aditya Prakash Asst. Professor CS, Virginia Tech. PhD. CMU, 2012. Data Mining, Applied ML

980 views • 80 slides

Monday, October 20, 2014 After Zipf: From City Size Distributions to Simulations

Monday, October 20, 2014 After Zipf: From City Size Distributions to Simulations Michael Batty & Yichun Xie UCL & EMU m.batty@ucl.ac.uk , yxie@emich.edu http://www.casa.ucl.ac.uk/. 1.What is the Notting Hill Carnival

826 views • 65 slides

Scale Free Networks

Scale Free Networks. Franco Zambonelli February 2005. Outline. Characteristics of Modern Networks Small World & Clustering Power law Distribution Ubiquity of the Power Law Deriving the Power Law How does network grow? The theory of preferential attachment Variations on the theme

1.38k views • 60 slides

Innovation in networks and alliance management Lecture 3 Small world networks & Trust

Innovation in networks and alliance management Lecture 3 Small world networks & Trust. Course aim. knowledge about concepts in network theory, and being able to apply that knowledge (with an emphasis on innovation and alliances). The setup in some more detail. Network theory and background

747 views • 58 slides

Scale Free Networks in Biological Systems

566 views • 38 slides

ANALYSIS OF GENETIC NETWORKS USING ATTRIBUTED GRAPH MATCHING

ANALYSIS OF GENETIC NETWORKS USING ATTRIBUTED GRAPH MATCHING. BACKGROUND. Completion of sequencing projects Need for functional discovery Emerging area of study: Large scale genomic analysis Similarity of living systems. GENETIC NETWORKS. Modelling genetic networks

483 views • 36 slides

Yup Kim Kyung Hee University

Conserved Mass Aggregation and Lamb-lion Problem on complex networks. Yup Kim Kyung Hee University. References S. Kwon, S. Lee and Y. Kim, PRE 73, 056102 (2006) S. Lee, S. Yook and Y. Kim, Submitted to PRE, cond-mat/0603647 S. Lee, S. Yook and Y. Kim, Submitted to PRL. Collaborations

523 views • 32 slides

IM PhD Forum, NTU Minimum-Cost Multicast Routing for Multi-Layered Multimedia Distribution

IM PhD Forum, NTU Minimum-Cost Multicast Routing for Multi-Layered Multimedia Distribution. Hsu-Chen Cheng and Frank Yeong-Sung Lin Department of Information Management National Taiwan University hccheng@ieee.org. Outline. Introduction Multirate Multicasting Modified T-M Heuristic

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S tefano Boccaletti Complex networks in science and society

S tefano Boccaletti Complex networks in science and society. * Istituto Nazionale di Ottica Applicata - Largo E. Fermi, 6 - 50125 Florence, ITALY *CNR-Istituto dei Sistemi Complessi * MIND- Mediterranean Institute for Nonlinear Dynamics. Coworkers:

426 views • 28 slides

In765 Knowledge Networks: A Structural Study of Networks

In765 Knowledge Networks: A Structural Study of Networks. Judith Molka-Danielsen Molde University College j.molka-danielsen@himolde.no http://home.himolde.no/~molka 2005. Types of Networks. Why Study Networks? Research Areas.

250 views • 24 slides

Bio-inspired Networking and Complex Networks: A Survey

Bio-inspired Networking and Complex Networks: A Survey. Sheng -Yuan Tu. Outline. Challenges in future wireless networks Bio-inspired networking Example 1: ant colony Example 2: immune system Co mplex networks Network measures Network models Phenomena in complex networks

237 views • 22 slides

Peer-to-Peer and Grid Computing

Exercise Session 3 (TUD Student Use Only) ?. Peer-to-Peer and Grid Computing. Agenda. Graph Metrics Small World Random Graph Power Law. Gaph Metrics. E(N(i)) = number of edges between neighbors of i d(i) = degree of i. Source: Wikipedia. Important Graph Metrics.

356 views • 21 slides

Daniel ben

Bar. -. Ilan University. Daniel ben. -. Avraham . Reuven Cohen . Tomer Kalisky. Alex Rozenfeld . Eugene Stanley Lidia Braunstein Sameet Sreenivasan. Boston Universtiy. Gerry Paul. Clarkson University.

286 views • 20 slides

Graph Theory in 50 minutes

Graph Theory in 50 minutes. This Graph has 6 nodes (also called vertices) and 7 edges (also called links). Graphs are really useful in biology. Vertices (or nodes) usually represent things Edges (or links) represent interactions Examples: social interactions food webs

309 views • 19 slides

Diffusion of Innovations

Diffusion of Innovations. Diffusion is the process by which an Innovation is Communicated through certain Channels over Time among the members of a Social System.

338 views • 18 slides