'Small world networks' presentation slideshows

Form single neurons in culture to the behaving animal;

From 1.5 kilograms of flaccid matter, convoluted folds, about 100 billion neuronal components, hundreds of trillions of interconnections, many thousand kilometers of cabling, and a short cultural history emerged calculus, Swan Lake , Kind of Blue, the Macintosh, and The Master and Margarita .

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Algorithmic Networks & Optimization

Ronald L. Westra , Department of Mathematics Maastricht University. Algorithmic Networks & Optimization. Maastricht, November 2008. Network Models. Properties of Networks. Network properties. Networks consist of: * nodes * connections (directed or undirected)

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Social and Information Networks Theory and Practice

Social and Information Networks Theory and Practice. Anirban Dasgupta Isabelle Stanton. Topics. The Structure of Networks Small world networks Generative models The Long Tail Community Detection Cascades and Viral Processes Computation on Large Graphs Sampling and Surveying

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MASSIMO FRANCESCHETTI University of California at Berkeley

Phase transitions an engineering perspective. MASSIMO FRANCESCHETTI University of California at Berkeley. Phase transition effect. when small changes in certain parameters of a system result in dramatic shifts in some globally observed behavior of the system. Example.

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Part 1: Biological Networks

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Complex Networks: Models

Complex Networks: Models. Lecture 2. Slides by Panayiotis Tsaparas. What is a network? . Network: a collection of entities that are interconnected with links . people that are friends computers that are interconnected web pages that point to each other proteins that interact.

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Collaborators Ben Ashpole Andy Jones Marco Janssen

Human Collective Behavior as a Complex Adaptive System Robert Goldstone Indiana University Department of Psychology Program in Cognitive Science. Collaborators Ben Ashpole Andy Jones Marco Janssen Allen Lee Winter Mason Michael Roberts. Complex Adaptive Systems.

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Complex networks and random matrices.

Complex networks and random matrices. Geoff Rodgers School of Information Systems, Computing and Mathematics. Plan. Introduction to scale free graphs Small world networks Static model of scale free graphs Eigenvalue spectrum of scale free graphs Results Conclusions. Scale Free Networks.

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Propagation of Malicious Attacks and Identification of their Sources*

Propagation of Malicious Attacks and Identification of their Sources*. Professor Wanlei Zhou Head, School of Software University of Technology Sydney Sydney, Australia wanlei.zhou@uts.edu.au https://www.uts.edu.au/staff/wanlei.zhou.

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Biological Networks

Biological Networks. Can a biologist fix a radio?. Lazebnik, Cancer Cell, 2002. Building models from parts lists. Protein - DNA interactions. Gene levels (up/down). Protein -protein interactions. ▲ Protein coIP ▼ Mass spectrometry. Protein levels (present/absent). Biochemical

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Complex Network Theory

Complex Network Theory. Niloy Ganguly. Complex Networks ?. Real-World Networks (as Complex Networks) Large network size Heterogeneous network elements Diverse interconnection pattern Highly Dynamic Difficult to Analyze Complex Network Theory

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Small Worlds

Small Worlds. Presented by Geetha Akula For the Faculty of Department of Computer Science, CALSTATE LA. On 8 th June 07. Structure of the Thesis. Introduction The Small World Phenomenon Applications to Routing Modeling Internet Social Networks Bibliography. The Small World Phenomena.

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Lecture 9: Network models

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Statistics of Extreme Fluctuations in Task Completion Landscapes

Statistics of Extreme Fluctuations in Task Completion Landscapes. Hasan Guclu (LANL) with G. Korniss (Rensselaer). Isaac Newton Institute, Cambridge, UK; June 26-30, 2006. Motivation and introduction. Synchronization is a fundamental problem in coupled multi-component systems.

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The Power of Networks for Innovation

The Power of Networks for Innovation. Biological information is organized in small -world and scale-free networks where few nodes become hubs dominating the entire network.

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Small World Networks

Small World Networks. Somsubhra Sharangi Computing Science, Simon Fraser University. Agenda. Definition & Some Terminology Random Graphs Scale Free Graphs Some Properties Navigation Resilience Some Relevant Applications P2P Overlay Construction Internet Topology Modeling

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Computing Betweenness Centrality for Small World Networks on a GPU

Computing Betweenness Centrality for Small World Networks on a GPU. Pushkar R. Pande Georgia Institute of Technology David A. Bader Georgia Institute of Technology. Introduction. Betweenness Centrality of a vertex is defined as, : Number of shortest paths between vertices and

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