In graph theory, a clique graph of an undirected graph G is another graph K(G) that represents the structure of cliques in G. Clique graphs were discussed at least as early as 1968, and a characterization of clique graphs was given in 1971. (Wikipedia).
What is a Clique? | Graph Theory, Cliques
What is a clique? A clique in graph theory is an interesting concept with a lot of depth to explore. We define the term and give some examples in today's math video lesson! A clique C of a graph G is usually defined as a subset of the vertex set of G such that every pair of distinct verti
From playlist Graph Theory
What is a Maximal Clique? | Graph Theory, Cliques, Maximal Cliques
What are maximal cliques? Cliques are cool, but there are some special types of cliques as well, one of which is the maximal clique, which we discuss in today's graph theory video lesson! Remember that a clique is a set of vertices that are all adjacent in a graph, or it is also sometimes
From playlist Graph Theory
Clique Problem - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
What are the Maximum and Maximal Cliques of this Graph? | Graph Theory
How do we find the maximum and maximal cliques of a graph? We'll go over an example in today's graph theory lesson of doing just that! To use these elementary methods, we just need to remember our definitions. A clique of a graph G is a complete subgraph of G. We also call the vertex set
From playlist Graph Theory
Maximum and Maximal Cliques | Graph Theory, Clique Number
What are maximum cliques and maximal cliques in graph theory? We'll be defining both terms in today's video graph theory lesson, as well as going over an example of finding maximal and maximum cliques in a graph. These two terms can be a little confusing, so let's dig in and clarify our un
From playlist Graph Theory
General Clique - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Network Analysis. Lecture 8. Network communitites
Cohesive subgroups. Graph cliques, k-plexes, k-cores. Network communities. Vertex similarity matrix. Similarity based clustering. Agglomerative clustering. Graph partitioning. Repeated bisection. Edge Betweenness. Newman-Girvin algorithm. Lecture slides: http//www.leonidzhukov.net/hse/201
From playlist Structural Analysis and Visualization of Networks.
Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
Lower bounds for subgraph isomorphism – Benjamin Rossman – ICM2018
Mathematical Aspects of Computer Science Invited Lecture 14.3 Lower bounds for subgraph isomorphism Benjamin Rossman Abstract: We consider the problem of determining whether an Erdős–Rényi random graph contains a subgraph isomorphic to a fixed pattern, such as a clique or cycle of consta
From playlist Mathematical Aspects of Computer Science
CSE 373 -- Lecture 25, Fall 2020
From playlist CSE 373 -- Fall 2020
Stanford Lecture: Donald Knuth - "Trees and chordal graphs" (2012)
Professor Knuth's 18th Annual Christmas Tree Lecture at Stanford December 14, 2012 Chordal graphs—also known as triangulated graphs or perfect-elimination graphs—are perhaps the most important generalizations of trees. Many graph-theoretical problems can be solved much more efficiently on
From playlist Donald Knuth Lectures
Network Analysis. Lecture10. Community detection
Community detection algorithms. Overlapping communities. Clique percolation method. Heuristic methods. Label propagation. Fast community unfolding. Random walk based methods. Walktrap. Nibble. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture10.pdf
From playlist Structural Analysis and Visualization of Networks.
Reducing to Clique - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms