'Dynamic networks' presentation slideshows

Dynamic Networks & Evolving Graphs

Dynamic Networks & Evolving Graphs. Afonso Ferreira CNRS I3S & INRIA Sophia Antipolis Afonso.Ferreira@sophia.inria.fr With A ubin Jarry. Dynamic Networks. Mobile Wireless Networks (eg, Ad-hoc) Fixed Packet Networks (eg, Internet) Fixed Connected Networks (eg, WDM)

751 views • 53 slides

Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks

Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks. Venkatesh RAJENDRAN, Katia OBRACZKA and J.J. GARCIA-LUNA-ACEVES. Presented by Rabin Karki. Outline. Introduction Background Overview of TRAMA Neighbor Protocol Schedule Exchange Protocol

745 views • 50 slides

Large-scale adaptive systems

Large-scale adaptive systems. Lecture 3: Gossip-based algorithms. Dr. Stefan Dulman s.o.dulman@tudelft.nl. Review previous lecture. Adaptation Mechanisms Introduction Feedback mechanisms Example: Schools of fish, flocks of birds Stigmergy Example: Economic based mechanisms Autopoiesis

556 views • 43 slides

The Rich Get Richer: Self-Organizing Inequality and Agent-Based Modeling Michael W. Macy

The Rich Get Richer: Self-Organizing Inequality and Agent-Based Modeling Michael W. Macy Cornell University CSSI Workshop, Tohoku University June 13, 2005. flocking behavior. flock remains cohesive despite disturbances changes direction to avoid obstacles or pursue a moving target

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The FluPhone Study: Measuring Human Proximity using Mobile Phones

The FluPhone Study: Measuring Human Proximity using Mobile Phones . Eiko Yoneki and Jon Crowcroft eiko.yoneki@cl.cam.ac.uk Systems Research Group University of Cambridge Computer Laboratory. Spread of Infectious Diseases . Thread to public health: e.g., , , SARS, AIDS

600 views • 33 slides

A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks

A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks. Min-SooKim and Jiawei Han Proceeding of the International Conference on Very Large Data Bases, VLDB, 2009. Speaker: Chien-Liang Wu. Outline. Introduction Motivation & Goals

689 views • 32 slides

Parallel and Distributed Processing CSE 8380

Parallel and Distributed Processing CSE 8380. January 27 2005 Session 5. Contents. Dynamic Networks Bus based systems Switch based systems. Interconnection Network. Dynamic. Static. Bus-based. Switch-based. 1-D. 2-D. HC. Crossbar. Single. Multiple. SS. MS.

431 views • 30 slides

Social Network Analysis Current Developments

356 views • 27 slides

Gigabit Routing on a Software-exposed Tiled-Microprocessor

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GS 3 : Scalable Self-configuration and Self-healing in Wireless Networks

GS 3 : Scalable Self-configuration and Self-healing in Wireless Networks. Hongwei Zhang & Anish Arora. Introduction. Sensor networks are not deployed manually ? self-configuration (into interconnected clusters) Sensor nodes and wireless links are subject to a rich class of faults

253 views • 25 slides

Kai Lei 1 , Meng Qin 1 , Bo Bai 2,* , Gong Zhang 2

NetAI 2018 , Budapest, Hungary. Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks. Kai Lei 1 , Meng Qin 1 , Bo Bai 2,* , Gong Zhang 2. 1 ICNLAB, SECE, Peking University Shenzhen Graduate School

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Klassificering af Inf. Systemer

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Visualizing the Evolution of Community Structures in Dynamic Social Networks

Visualizing the Evolution of Community Structures in Dynamic Social Networks. Khairi Reda. Department of Computer Science University of Illinois at Chicago. Social Networks Analysis (SNA). SNA is concerned with structures of ties in the social system, rather than behavior of individual actors

396 views • 22 slides

Hop-limited f looding over d ynamic networks

Hop-limited f looding over d ynamic networks. M. Vojnovi? and A. Proutiere Microsoft Research. IEEE Infocom 2011, Shanghai, April 2011. Introduction. Disseminate a message to all nodes using transmissions between pairs of nodes Dynamic network

275 views • 19 slides

Parallel and Distributed Processing CSE 8380

Parallel and Distributed Processing CSE 8380. January 25 2005 Session 4. Contents. Interconnection Networks Static IN Dynamic IN. Interconnection Network. Mode of Operation (Synchronous vs. Asynchronous) Control Strategy (Centralized vs. Decentralized)

347 views • 19 slides

Introduction to Dynamic Social Network Analysis with SIENA

Introduction to Dynamic Social Network Analysis with SIENA. Richard Callahan, University of Washington rjcal@u.washington.edu http://students.washington.edu/rjcal/.

200 views • 19 slides

Epidemic Spreading

Epidemic Spreading. Parameters: External Model based on population density and travel statistics. Age Dependency. Vaccination Strategies. Future Work. More realistic Contact Network Time /Age dependency Human Dynamics/Mobility Model Probabilities for infection Network P arameters

315 views • 12 slides

Artificial Neural Network: Dynamic Networks

Artificial Neural Network: Dynamic Networks. By: Dr. J. Razjouyan. Introduction. NN classified into : Static : Static ( feedforward ) networks have no feedback elements and contain no delays; the output is calculated directly from the input through feedforward connections . Dynamic :

428 views • 11 slides

ROLE OF NETWORKING FOR MULTINATIONAL CORPORATIONS

135 views • 10 slides