'High degree nodes' diaporamas de présentation

UC Davis MURI Team

UC Davis MURI Team. PI: Karl Levitt Research Staff: Poornima Balasubramanyam, Jeff Rowe Graduate Students : Dustin Lee (MS) Melissa Danforth (PhD) Tao Song (PhD) Steven Templeton (PhD) Marcus Tylutki (PhD) C.G. Senthilkumar (MS) Daisuke Nojiri (PhD) Ivan Balepin (PhD). Who We Are.

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The Internet Is Like A Jellyfish

The Internet Is Like A Jellyfish. Michalis Faloutsos UC Riverside Joint work with: Leslie Tauro, Georgos Siganos (UCR) Chris Palmer(CMU). Big Picture: Modeling the Internet. Measure and model each component Identify simple properties and patterns Model and simulate their interactions.

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Coalescing Register Allocation

Coalescing Register Allocation. CS153: Compilers Greg Morrisett. Last Time:. Basic Graph-Coloring Register Allocation Build interference graph G use liveness analysis Simplify the graph G If x has degree < k, push x and simplify G-{x} if no such x, then we need to spill some temp.

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Walter Willinger AT&T Labs-Research walter@research.att

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Measuring Properties of Complex Networks

Measuring Properties of Complex Networks. Lecture 3. Slides by Panayiotis Tsaparas. Types of networks. Social networks Knowledge (Information) networks Technology networks Biological networks. Social Networks. Links denote a social interaction Networks of acquaintances

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Models and Algorithms for Complex Networks

Models and Algorithms for Complex Networks. Networks and Measurements Lecture 3. Types of networks. Social networks Knowledge (Information) networks Technology networks Biological networks. Social Networks. Links denote a social interaction Networks of acquaintances

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Modeling Complex Networks

Modeling Complex Networks. Troy Tassier University of Michigan and Fordham University ttassier@umich.edu www.umich.edu/~ttassier/. The Study of Social Interactions. Peer networks Tipping Points Participation in Riots Voting Behavior Drug use/ cigarette smoking Crime/ Social Norms

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Advanced Topics in Data Mining Special focus: Social Networks

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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.

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Seepage in Directed Acyclic Graphs

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An Overview of Gnutella

An Overview of Gnutella. History. The Gnutella network is a fully distributed alternative to the centralized Napster. Initial popularity of the network was spurred on by Napster's threatened legal demise in early 2001. . A generic view. object1. object2. peer. peer.

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Peer-to-Peer and Social Networks

Peer-to-Peer and Social Networks. An overview of Gnutella. Overlay networks.

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Application Presentation

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Network Design

Network Design. IS250 Spring 2010 John Chuang. Questions. What does the Internet look like? Why do we care? Are there any structural invariants? Can we develop models of network formation and growth?. What does the Internet Look Like?. What does the Internet Look Like?.

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Why are power laws important?

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