'Complex networks' diaporamas de présentation

Week Ten

Week Ten. Attendance Announcements Data Center Design update Final exam 150 points Review Week Nine Information Current Week Information Upcoming Assignments Mimic Simulator Lab Assignment 4-1-2, Basic Routing and LAN Switching Configuration. Week Ten Topics. Routing Protocols

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Power points at www.sil.org/~tuggyd

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Lecture 1: Introduction

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NeuroComputing CENG569, Fall 2012-2013 1 st Lecture

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Lecture 2: Introduction

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The problem of Fractal Wrongness

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Online Search of Overlapping Communities

Online Search of Overlapping Communities. Wanyun Cui, Fudan University Yanghua Xiao, Fudan University Haixun Wang, Microsoft Research Asia Yiqi Lu, Fudan University Wei Wang, Fudan University. Presenter. Wanyun Cui. Outline . Motivation Model Algorithm Experiments

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Social Exchange

Social Exchange. Background: Theoretical Roots: Classical Anthropology: Malinowski (Kula exchange), Levi-Strauss (Classificatory Kinship studies), Durkheim Homans, Blau, Emerson, Ekeh Direct Exchange: Emerson, Cook, Yamagishi -Power Dependence, Vulnerability

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Emergency Care & Interventions: Neurological Assessment

Emergency Care & Interventions: Neurological Assessment. Chapter 20. EMERGENCY CARE AND INTERVENTIONS. Rachel Palmer and Jessica Knight. Please note: this presentation is also suitable for use with Foundation Skills for Caring Chapter 20: Neurological Assessment. Introduction.

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Neurological Assessment NEUROLOGICAL ASSESSMENT

Neurological Assessment NEUROLOGICAL ASSESSMENT. Chapter 20. Rachel Palmer and Jessica Knight. Please note: this presentation is also suitable for use with Foundation Studies for Caring Chapter 30: Emergency Care and Interventions. Introduction.

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STRUCTURAL SIMILARITIES OF COMPLEX NETWORKS: A COMPUTATIONAL MODEL BY EXAMPLE OF WIKI GRAPHS

STRUCTURAL SIMILARITIES OF COMPLEX NETWORKS: A COMPUTATIONAL MODEL BY EXAMPLE OF WIKI GRAPHS. For CS790 Complex Network A Paper Presented by Bingdong Li 11/18/2009. Credit.

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?14 ??????????? ????????? ?????? ??? ????. Strong and Weak Ties. Chapter 3, from D. Easley and J. Kleinberg book. Issues. How simple processes at the level of individual nodes and links can have complex effects at the whole population How information flows within the network

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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

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Microbial Commons: Governing Complex Knowledge Assets

Microbial Commons: Governing Complex Knowledge Assets. National Academy of Sciences Washington D.C. October 8-9 2009. Minna Allarakhia University of Waterloo Management Sciences. Systems Biology Paradigm. Systems level understanding of biological processes

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Quick Guide: Force10 Corporate Overview

Quick Guide: Force10 Corporate Overview. Force10 Networks. Pioneered 10 GbE Switching & Routing. Executing According to Business Model. 2 nd in 10 Gigabit Ethernet Market. Force10 A Company On the Move. 700+ customers; 500 employees

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TRENDS AND PATTERNS IN (INTERNATIONAL) R&D ALLIANCES, 1970-2006 John Hagedoorn * Department of Organization & S

TRENDS AND PATTERNS IN (INTERNATIONAL) R&D ALLIANCES, 1970-2006 John Hagedoorn * Department of Organization & Strategy and UNU-MERIT School of Business and Economics Maastricht University . Definition. R&D alliances refer to cooperation between two or

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Every Property of Hyperfinite Graphs is Testable Ilan Newman and Christian Sohler

Every Property of Hyperfinite Graphs is Testable Ilan Newman and Christian Sohler. Property Testing. Property Testing [Rubinfeld, Sudan, 96; Goldreich, Goldwasser, Ron, 98] Oracle access to huge object O Decide whether O has a property P or is far-away from P

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Title

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IFISC TEAM: Miguel Cornelles Victor Eguiluz Leonardo Lyra Claudio Mirasso Guy Van der Sande

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Figure 2. Distribution of normalized control centrality of several real-world networks (blue) and their randomized counterparts: rand-ER (red), rand-Degree (green), plotted in log-log scale.

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