'Betweenness centrality' presentation slideshows

Lecture 5: Network centrality

Lecture 5: Network centrality. Slides are modified from Lada Adamic and James Moody. Measures and Metrics. Knowing the structure of a network, we can calculate various useful quantities or measures that capture particular features of the network topology.

3.79k views • 102 slides

Flow Processes and the Structural Importance of Nodes

Flow Processes and the Structural Importance of Nodes. Mohamed Atta. Steve Borgatti Boston College. Data courtesy of Valdis Krebs. Attacking Terrorist Nets. Find and eliminate structurally important nodes and lines bridges, cut-points; minimum weight cutsets measures of centrality

904 views • 77 slides

CiteSpace Quick Guide 1.2 Chaomei Chen Drexel University Email: chaomei.chen@cis.drexel.edu http://cluster.cis.drexel.e

CiteSpace Quick Guide 1.2 Chaomei Chen Drexel University Email: chaomei.chen@cis.drexel.edu http://cluster.cis.drexel.edu/~cchen/citespace. Created: 1.0. January 13, 2005 Updated: 1.1. April 2, 2005; 1.2. July 2, 2005. Outline. 0. Glossary Where to get a copy of CiteSpace?

1.63k views • 58 slides

341: Introduction to Bioinformatics

706 views • 56 slides

A Framework for Community Detection from Social Media

A Framework for Community Detection from Social Media. Chandrashekar V Centre for Visual Information Technology IIIT-Hyderabad. Advisers: Prof. C. V. Jawahar , Dr. Shailesh Kumar. Motivation. Problem Statement. Challenges. Scalability : billions of nodes & edges

844 views • 55 slides

Advisor : Professor Frank Y. S. Lin Presented by: Tuan-Chun Chen

Decapitation of networks with and without weights and direction : The economics of iterated attack and defense. Advisor : Professor Frank Y. S. Lin Presented by: Tuan-Chun Chen Presentation date: Mar . 6, 2012. Agenda. Introduction Economic model Measurements Empirical work

646 views • 43 slides

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

393 views • 36 slides

Lecture 13: Network centrality

602 views • 36 slides

Lectures 6 & 7 Centrality Measures February 2, 2009

410 views • 31 slides

Lectures 6 & 7 Centrality Measures February 2, 2009

375 views • 31 slides

Network Analysis

398 views • 30 slides

Social Network Theory

Social Network Theory. Dr. Zaheeruddin Asif. What is a Network?. Nodes Relationships Properties Directional Symmetric Flow Mulitplexity. Nodes. Relationships. Directional Friendship Advice seeking Buyer/supplier. Relationships. Symmetric Strategic alliance Club membership

709 views • 29 slides

Knowledge Management

Knowledge Management. Prof.dr.Nada Lavra? Topics : - Degree centrality/centralization - Closeness centrality/centralization - B etweenness centrality/centralization - Brokers and Bridges. Center and Periphery Social networks: - looking for a way of flow of the information

407 views • 29 slides

Intrusion Monitoring of Link-State Routing Protocols

Intrusion Monitoring of Link-State Routing Protocols. Akshay Aggarwal Poornima Balasubramanyam Karl Levitt Computer Security Laboratory Department of Computer Science UCDavis. Outline Part 1. Application to OSPF routing protocol Augmented OSPF Betweenness centrality computation

357 views • 25 slides

Social network analysis is:

416 views • 25 slides

Betweenness Centrality Approximations for an Internet Deployed P2P Reputation System

Betweenness Centrality Approximations for an Internet Deployed P2P Reputation System. Dimitra Gkorou, Johan Pouwelse, and Dick Epema. Overview. Tribler The Bartercast Reputation Mechanism Betweenness Centrality Approximations for Betweenness Centrality

307 views • 19 slides

Visual representations of networks

260 views • 18 slides

Dynamical response networks under perturbations

Dynamical response networks under perturbations. Seung-Woo Son, Dong-Hee Kim, Yong-Yeol Ahn, and Hawoong Jeong Complex System and Statistical Physics Lab., Dept. Physics, KAIST, Daejeon 305-701, Korea. Motivation : Microarray Data.

285 views • 17 slides

Graph mining in bioinformatics

Laur Tooming. Graph mining in bioinformatics. Graphs in biology. Graphs are often used in bioinformatics for describing processes in the cell Vertices are genes or proteins The meaning of an edge depends on the type of the graph Protein-protein interaction Gene regulation.

360 views • 15 slides

Social Network Analysis (in 10 minutes)

Social Network Analysis (in 10 minutes). Nick Crossley. A set of methods for analysing patterns of relationships. Visualising them in graphs. Defining and measuring their properties. Representing and manipulating them in matrices. Often involves:. Multidimensional scaling.

250 views • 14 slides