'Community detection' presentation slideshows

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??????. Traditional Media. Broadcast Media: One-to-Many. Communication Media: One-to-One. Social Media: Many-to-Many. ??????????. ????????? ???? (social network) ?????? + ?????????? ?????? ??????????????? ?????????????????? ????????????????????????. ???????.

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Community Detection and Evaluation

Community Detection and Evaluation. Chapter 3. Community. Community : It is formed by individuals such that those within a group interact with each other more frequently than with those outside the group a.k.a. group , cluster , cohesive subgroup , module in different contexts

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Visualizing Knowledge Structure of an Academic Field

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Sampling Based Range Partition for Big Data Analytics + Some Extras

Sampling Based Range Partition for Big Data Analytics + Some Extras. Milan Vojnovi? Microsoft Research Cambridge, United Kingdom Joint work with Charalampos Tsourakakis, Bozidar Radunovic, Zhenming Liu, Fei Xu, Jingren Zhou. INQUEST Workshop, September 2012. Big Data Analytics.

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CS8803-NS Network Science Fall 2013

CS8803-NS Network Science Fall 2013. Instructor: Constantine Dovrolis constantine@gatech.edu http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/. Disclaimers.

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??????????? Community structure in complex networks

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The Little Engine(s) That Could: Scaling Online Social Networks

The Little Engine(s) That Could: Scaling Online Social Networks. B99106017 ??? ???. Outline. Background SPAR Evaluation and Comparison Conclusion. Outline. Background SPAR Evaluation and Comparison Conclusion. New challenge for system design.

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Detecting Communities Via Simultaneous Clustering of Graphs and Folksonomies Akshay Java

Detecting Communities Via Simultaneous Clustering of Graphs and Folksonomies Akshay Java Anupam Joshi Tim Finin University of Maryland, Baltimore County. KDD 2008 Workshop on Web Mining and Web Usage Analysis. Outline. Introduction Community Detection Clustering Approach

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From Load Balancing to Data Streams: Randomized Algorithms in Computer Science

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Community Detection and Graph-based Clustering

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Detecting communities in time-evolving networks: Application to voting patterns in the US Senate

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Community Detection

Community Detection . Laks V.S. Lakshmanan (based on Girvan & Newman. Finding and evaluating community structure in networks . Physical Review E 69, 026113 (2004). M. E. J. Newman. Fast algorithm for detecting community structure in networks . Physical Review E 69, 066133 (2004). .

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Peta-Graph Mining

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Particle Competition and Cooperation for Uncovering Network Overlap Community Structure

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le.ac.uk/geography

Geographical Information Science/Remote Sensing/ Modelling Research interests Chris Brunsdon, Claire Jarvis, Lex Comber, Nick Tate, Jen Dickie, Pete Fisher, Kevin Tansey, Heiko Balzter, Joerg Kaduk. www.le.ac.uk/geography. Research Areas. Spatial Analysis and Visualisation

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Overlapping Community Detection in Networks

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Overlapping community detection

Overlapping community detection . Overlapping. Overlapping means that some vertices may belong to more than one community. agglomerativ E hierarchic A l clusterin G based on maxima L cliqu E.

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The Economics of Community Detection and Hiding

The Economics of Community Detection and Hiding. Ross Anderson Shishir Nagaraja. Introduction. Conflicts turn on connectivity Large scale monitoring programs pursued by repressive governments Privacy risks from the aggregation of social network information

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