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. Cliques, Quasi-Cliques and Clique Partitions in Graphs. Panos. M. Pardalos. Notations. is a simple undirected graph with vertex set and . . is the . to maximum . clique graph. By,. Usha Kavirayani. OUTLINE. Problem . statement. Intersection Graphs of Boxes. Problem Solution. Graph . Construction. Maximum Clique. History. NP-Complete Graph. Techniques of dealing NP-Complete graphs. 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. Admin. Last assignment out today (yay!). Review topics?. E-mail me if you have others…. CS senior theses . Wed 12:30-1:30 (MBH 538). Thur. 3-4:30 (MBH 104). Run-time analysis. We’ve spent a lot of . Anh. . Le, . Arash. . Tehrani. , . Alex . Dimakis. , . Athina. . Markopoulou. UC . Irvine, USC, UT Austin. Presented by . Marios. . Gkatzianas. Real-time applications that use wireless broadcast:. 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. , Convexity, and the quest towards Optimal Algorithms. Boaz Barak. Harvard University. Microsoft Research. Partially based on work in progress with . Sam Hopkins. , . Jon Kelner, . Pravesh Kothari. , Ankur Moitra and Aaron Potechin.. Arash Saber Tehrani. Alexandros. G. . Dimakis. Michael J. Neely. Department of Electrical Engineering University of Southern . California (. USC) . Outline. Index Coding Problem. Introduction. Bipartite model. Cliques, Quasi-Cliques and Clique Partitions in Graphs. Panos. M. Pardalos. Notations. is a simple undirected graph with vertex set and . . is the . 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?. Power Systems Network graph is a directed graph represented by Incidence Matrix. We convert the Incidence Matrix into an undirected graph called Adjacent Matrix. Decomposing an undirected graph into Cliques. Jeffrey . Pattillo. , . Nataly. . Youssef. , and . Sergiy. . Butenko. Suchitra. . Ganga. . Bhavani. . Anusha. . Inti. 810846173. Social networks represent certain types of social interaction, such as . 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. Feb 20, 2009. Definition of subgroups . Definition of sub-groups: “Cohesive subgroups are subsets of actors among whom there are relatively strong, direct, intense, frequent or positive ties. It formalizes the strong social groups based on the social network properties ”.