PPT-Estimating Clique Composition and Size

Distributions from Sampled Network Data Minas Gjoka Emily Smith Carter T Butts University of California Irvine Outline Problem statement Estimation methodology Results with reallife graphs. CHEPOI AND FEODOR F DRAGAN SIAM J D ISCRETE ATH 1997 Society for Industrial and Applied Mathematics Vol 10 No 1 pp 109127 February 1997 009 Abstract Let be a family of cliques of a graph VE Suppose that each clique of is associated with an integer Using XRD. Scott A Speakman, Ph.D.. 13-4009A. speakman@mit.edu. http://prism.mit.edu/xray. MIT Center for Materials Science and Engineering. http://prism.mit.edu/xray. Warning. These slides have not been extensively proof-read, and therefore may contain errors.. Dr. Yingwu Zhu. Chapter 34. 2. NP-Completeness. Poly time algorithm: input size . n . (in some encoding), worst case running time – . O. (. n. c. ) for some constant . c. .. Three classes of problems. CS648. . Lecture 9. Random Sampling. part-I. (Approximating a parameter). 1. Overview. of the Lecture. Randomization Framework for . estimation. of . a parameter. Number of balls . from a bag. Size of transitive closure . CS302, Spring 2013. David Kauchak. Admin. Last assignment out today (yay!). Review topics?. E-mail me if you have others…. CS senior theses. Tue 3-4, Wed 3-4:30, . Thur. 3-4 in MBH 104. NP problems. O (n log n). By Pierre A.Humblet. Presented by: Anat Berkman, 236357 . Distributed Algorithms , Technion. 2. Problem background. Arbitrary non empty subset wake up spontaneously ans start executing common asynchronous distributed algorithm. no-take marine protected areas in the . iSimangaliso. Wetland Park based on movement patterns of . surf-zone fish species. Bruce Mann. 1. and Paul Cowley. 2. Oceanographic Research Institute. South African Institute for Aquatic Biodiversity. Algorithms. and Networks 2016/2017. Johan M. M. van Rooij. Hans L. . Bodlaender. This lecture. Classical complexity: . P. . vs. . NP. .. Conditional non-existence proofs.. Parameterised complexity:. Estimating Population Size. Integral part of population dynamics . Helps ecologists see changes over time. Estimating Mobile Organisms. How would you estimate a population of mice?. Jeffrey . Pattillo. , . Nataly. . Youssef. , and . Sergiy. . Butenko. Suchitra. . Ganga. . Bhavani. . Anusha. . Inti. 810846173. Social networks represent certain types of social interaction, such as . Original Data. Equated Day . Factors. Holiday Factors. Normalized Data. Initial Seasonal Factors. Seasonally-Adjusted Data:. Initial. Seasonally-Adjusted Data:. Initial. Growth Rate. (Adjustments). Events. Important in evaluating the health of ecosystem:. Is organism threatened or endangered….need protection? Wolves. Over-running habitat….. Should Population be thinned ? Deer. Count Individuals. Best for stationary organisms. Do Now. Write down anything that comes to mind when you think of body composition. What do you think are some criteria for a positive body composition?. If you went to the doctor today and they told you that you needed to lower your body composition, what 3 realistic changes could you make?. (CPM). What is CPM?. Algorithm. Analysis. Conclusion. Contents. Method to find . overlapping. . communities. Based on concept:. internal edges of community likely to form cliques. Intercommunity edges unlikely to form cliques.