PPT-Analysis of Network Diffusion

and Distributed Network Algorithms Rajmohan Rajaraman Northeastern University Boston May 2012 Chennai Network Optimization Workshop AND and DNA 1 Overview of the 4 Sessions Random walks Percolation processes. Dorothy Cheung. Introduction. The problem and its . importance. Missing Pieces. Related . works in summary. Methodology. Data set. Network Generation. Network Analysis. Conclusion. Outline. The problem and its importance. B. Aditya Prakash. Computer Science. Virginia Tech.. GraphEx. . Symposium, MIT Endicott House, Aug 21, 2014 . Thanks!. Ali Pinar. Ben Miller. Prakash 2014. 2. Networks are everywhere!. Human Disease Network [. with the UNC-Utah NAMIC Tools. Martin Styner UNC. Thanks to Guido . Gerig. , . UUtah. NAMIC: National Alliance for Medical Image Computing. And many, many folks. Overview of the UNC – Utah NAMIC pipeline. Gary Hui Zhang, PhD. Microstructure Imaging Group. Centre for Medical Image Computing. Department of Computer Science. University College London. 26th of June, 2013. UCL Centre for Medical Image Computing. (M. 3. D). Dr. Brian H. Spitzberg. Principle Investigator: Dr. Ming-Hsiang . Tsou . mtsou@mail.sdsu.edu. ,. . (Geography), . Co-. Pis. : . Dr. . Dipak. K Gupta (Political Science), Dr. Jean Marc Gawron (Linguistic), Dr. Brian . DeMoPreCI. -MDT. 27/10/2015. Steel degradation in Offshore – from model to prediction. 1. Que. ¿. De Development. Mo Monitoring. Pre Prediction. CI Coupled Interactions . MDT Material Durability Testing. B. Aditya Prakash. Computer Science. Virginia Tech.. GraphEx. . Symposium, MIT Endicott House, Aug 21, 2014 . Thanks!. Ali Pinar. Ben Miller. Prakash 2014. 2. Networks are everywhere!. Human Disease Network [. Yale School of Management. Networks and the Diffusion of Pro-Social Innovations. Classic S-Shaped Diffusion Curve. Rogers. 1995. . Diffusion of Innovations. Time. Percent Adopted. Refrigerator. Cellular Phone. Stefano . Ermon. ECML-PKDD. September 26, 2012. Joint work with . Liaoruo. Wang and John E. . Hopcroft. Background. Diffusion processes common in many types of networks. Cascading examples. contact networks <> infections. 590AI. Some content from . Lada. . Adamic. Vocabulary Lesson. Actor. Relational Tie. parentOf. supervisorOf. reallyHates. ( /-). …. Dyad. Person. Group. Event. …. Relation. : collection of ties of a specific type (every . CS 765 Complex Networks. Slides are modified from Lada Adamic, David Kempe, Bill Hackbor. Information Diffusion. Information . diffusion. :. . p. rocess . by which a piece of information (knowledge) is spread and reaches individuals through interactions.. Spring 2009. L. -22 Sensor Networks. 2. Overview. Ad . hoc routing. Sensor Networks. Directed Diffusion. Aggregation. TAG. Synopsis . Diffusion. Ad Hoc Routing. Goal: Communication between wireless nodes. Sushmita Roy. sroy@biostat.wisc.edu. Computational Network Biology. Biostatistics & Medical Informatics 826. https://compnetbiocourse.discovery.wisc.edu. Nov 20. th. 2018. RECAP of problems in network biology. Diffusion is a process of . mass transport. that involves the atomic . or molecular motion. .. In the simplest form, the diffusion can be defined as the . random walk. of an ensemble of particles from regions of high concentration to regions of lower concentration.