'Preferential attachment' diaporamas de présentation

Weighted networks: analysis, modeling A. Barrat, LPT, Université Paris-Sud, France

Weighted networks: analysis, modeling A. Barrat, LPT, Université Paris-Sud, France. M. Barthélemy (CEA, France) R. Pastor-Satorras (Barcelona, Spain) A. Vespignani (LPT, France). cond-mat/0311416 PNAS 101 (2004) 3747 cond-mat/0401057 PRL 92 (2004) 228701

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Classes will begin shortly

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Class 7: Evolving Network Models

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Network Science Class 5: BA model (Sept 15, 2014)

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Metabolic Pathway I609: PhD Seminar Computational techniques in comparative genomics

Metabolic Pathway I609: PhD Seminar Computational techniques in comparative genomics . Kwangmin Choi. Overview. Metabolism 101 Resources Network topology Pathway representation Metabolic pathway analysis using comparative genomics approach Pathway evolution Practical application.

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Lecture 3 Protein binding networks

Lecture 3 Protein binding networks. Genome-wide protein binding networks. Nodes - proteins Edges - protein-protein binding interactions Functions Structural (keratin) Functional (ribosome) regulation/signaling (kinases) etc.

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Introduction to complex networks Part II: Models

Introduction to complex networks Part II: Models. NetSci 2010 Boston, May 10 2010. Ginestra Bianconi Physics Department,Northeastern University, Boston,USA. Random graphs. G(N,L) ensemble Graphs with exactly N nodes and L links. G(N,p) ensemble Graphs with N nodes

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Community Structure in Large Social and Information Networks

Community Structure in Large Social and Information Networks. Michael W. Mahoney Yahoo Research ( For more info, see: http://www.cs.yale.edu/homes/mmahoney ) Joint work with: Jure Leskovec, Kevin Lang and Anirban Dasgupta. Lots and lots of large data!.

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Information Networks

Information Networks. Generative processes for Power Laws and Scale-Free networks Lecture 4. Announcement. The first assignment will be handed out after the spring break The second assignment around middle of April

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Analyzing the Evolution of Scientific Citations & Collaborations: A Multiplex Network Approach

Analyzing the Evolution of Scientific Citations & Collaborations: A Multiplex Network Approach. By Soumajit Pramanik Guide : Dr. Bivas Mitra. Citation Network. Important Author-based Metrics : In-Citation Count H-Index etc. Co-Authorship Network. Existing Works.

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Analysing Social Networks Via the Internet

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New Directions for Power Law Research

New Directions for Power Law Research. Michael Mitzenmacher Harvard University. Internet Mathematics. Articles Related to This Talk. The Future of Power Law Research. Dynamic Models for File Sizes and Double Pareto Distributions. A Brief History of Generative Models for Power Law and

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Link Prediction and Recommendation across Multiple Heterogeneous Networks

Link Prediction and Recommendation across Multiple Heterogeneous Networks. Yuxiao Dong * $ , Jie Tang $ , Sen Wu $ , Jilei Tian # Nitesh V. Chawla * , Jinghai Rao # , Huanhuan Cao #. *University of Notre Dame $ Tsinghua University # Nokia Research China.

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Complex Networks Third Lecture

Complex Networks Third Lecture. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A. Program. A few examples of Complex Networks Basic concepts of graph theory and network theory Models Communities. Three main goals:

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4. PREFERENTIAL ATTACHMENT

4. PREFERENTIAL ATTACHMENT. The rich gets richer. Empirical evidences. Many large networks are scale free The degree distribution has a power-law behavior for large k (far from a Poisson distribution) Random graph theory and the Watts-Strogatz model cannor reproduce this feature.

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Measuring Preferential Attachment in Evolving Networks

Measuring Preferential Attachment in Evolving Networks. H.JEONG [1,2] , Z.NEDA [1] , A.L.BARABASI [1] 1- Department of Physics, University of Nore Dame,USA 2- Department of Physics, Korea Advanced Institute of Science and Technology accepted in 4 December 2002 (last revision July 9,2004).

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Trends in Object-Oriented Software Evolution: Investigating Network Properties

Trends in Object-Oriented Software Evolution: Investigating Network Properties Alexander Chatzigeorgiou George Melas University of Macedonia Thessaloniki, Greece. NIER track - 34th International Conference on Software Engineering (ICSE 2012). Facts.

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Peer-to-Peer and Social Networks

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Pendulum without friction

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