PPT-Community detection via random walk

Draft slides Background Consider a social graph GV E where V n and E m Girvan and Newmans algorithm for community detection runs in Om 2 n time and On 2 space The . Presented by Changqing Li. Mathematics. Probability. Statistics. What. . is a Random Walk?. An Intuitive understanding. : . A series of movement which direction and size are randomly decided (e.g., . the Volume of Convex Bodies. By Group 7. The Problem Definition. The main result of the paper is a randomized algorithm for finding an approximation to the volume of a convex body . ĸ. in . n. -dimensional Euclidean space. and Semi-Supervised Learning. Longin Jan Latecki. Based on :. Xiaojin. Zhu. Semi-Supervised Learning with Graphs. PhD thesis. CMU-LTI-05-192, May 2005. Page, Lawrence and . Brin. , Sergey and . Motwani. Richard Peng. M.I.T.. Joint work with . Dehua. Cheng, Yu Cheng, Yan Liu and . Shanghua. . Teng. (U.S.C.). Outline. Gaussian sampling, linear systems, matrix-roots. Sparse factorizations of . L. p. Richard Peng. M.I.T.. OUtline. Structure preserving sampling. Sampling as a recursive ‘driver’. Sampling the inaccessible. What can sampling preserve?. Random Sampling. Collection of many objects. David . Harel. and . Yehuda. . Koren. KDD 2001. Introduction. Advances in database technologies resulted in huge amounts of spatial data. The characteristics of spatial data pose several difficulties for clustering algorithms.. Reflection week beginning 23 May 2016. A Random Act of Kindness. In St Paul’s Cathedral in London, visitors . can climb stairs so as to walk around the inside of the great dome, which is 60 . metres. Richard Peng. M.I.T.. Joint work with . Dehua. Cheng, Yu Cheng, Yan Liu and . Shanghua. . Teng. (U.S.C.). Outline. Gaussian sampling, linear systems, matrix-roots. Sparse factorizations of . L. p. Summer 2016. What is walk Worthington?. • . A program of the Worthington Resource Pantry (WRP). WRP is a local choice pantry and the umbrella organization for Healthy Worthington initiatives. In FY 2015, WRP served more than 1,200 families and distributed more than 330,000 . A. pproach. for . R. andom Walk With Restart. on Large Graphs. Kijung Shin. . Jinhong. Jung Lee . Sael. U Kang. Introduction. How can we measure the relevance (or similarity) between two nodes in a graph?. A. pproach. for . R. andom Walk With Restart. on Large Graphs. Kijung Shin. . Jinhong. Jung Lee . Sael. U Kang. Introduction. How can we measure the relevance (or similarity) between two nodes in a graph?. Prepared for. When you partner with Walk 4 CMT, you directly impact . research. and . patient. . programs. . for the 2.8 million people who suffer with Charcot-Marie-Tooth disease.. Our participants are likely to support businesses that are seen as a valued partners of the CMT community. T. “Data is the oil of the new age”. “Data is the oil of the new age”. but, just like oil,. “unrefined data cannot really be used”. “Data is the oil of the new age”. but, just like oil,. Authors: . Kexiang. Wang, . Zhifang. Sui, et al.. Organization: Peking University. Speaker: . Kexiang. Wang. E-mail: wkx@pku.edu.cn. Outline. Overview of Our Paper. Aim. We propose the adjustable affinity-preserving random walk method for generic and query-focused multi-document summarization to enforce the .