Greedily finding a dense subgraph
WebDense vs. Random Problem. Distinguish G ~ G(n,p), log-density δ from a graph which has a k-subgraph of log-density δ+ε ( Note. kp = k(nδ/n) = kδ(k/n)1-δ < kδ) More difficult than the planted model earlier (graph inside is no longer random) Eg. k-subgraph could have log-density=1 and not have triangles WebGreedily Finding a Dense Subgraph Yuichi Asahiro 1 , Kazuo Iwama 1., Hisao Tamaki 2, and Takeshi Tokuyama 2 ... and are asked to find a k-vertex subgraph with the …
Greedily finding a dense subgraph
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WebJul 3, 2024 · Dense subgraph discovery is an important graph-mining primitive with a variety of real-world applications. One of the most well-studied optimization problems for dense subgraph discovery is the densest subgraph problem, where given an edge-weighted undirected graph G=(V,E,w), we are asked to find S⊆ V that maximizes the … WebSep 15, 2002 · The k - f ( k) dense subgraph problem ( ( k, f ( k ))-DSP) asks, given a graph G of v vertices and e edges and an integer k, whether there is a k -vertex subgraph which has at least f ( k) edges. When f ( k )= k ( k −1)/2, ( k, f ( k ))-DSP is equivalent to the well known k -clique problem [12].
Webing algorithm in finding dense subgraphs. For example, on many real-world graphs, we find that running our method with a value of slightly larger than 1 will typically produce sets … WebGiven an undirected graph G = (V,E), the density of a subgraph on vertex set S is defined as d(S) = E(S) S , where E(S) is the set of edges in the subgraph induced by nodes in S. Finding subgraphs of maximum density is a very well studied problem. One can also generalize this notion to directed graphs. For a directed graph one notion of ...
WebIn graph theory and computer science, a dense subgraph is a subgraph with many edges per vertex. This is formalized as follows: let G = (V, E) be an undirected graph and let S = (VS, ES) be a subgraph of G. Then the …
WebFeb 25, 2024 · Fig. 2. The performance of SpecGreedy for the real-world graphs. (a) SpecGreedy runs faster than Greedy in all graphs for detecting the densest subgraph with the same or comparable density, achieves 58.6\times speedup for ca-DBLP2012 and about 3 \times for the largest graph soc-twitter.
WebJan 1, 2024 · Greedy approximation algorithms for finding dense components in a graph Riccardo Dondi et al. Top-k overlapping densest subgraphs: approximation algorithms and computational complexity J. Comb. Optim. (2024) Lata Dyaram et al. Unearthed: the other side of group cohesiveness J. Soc. Sci. (2005) View more references Cited by (0) t slot extrusion perthWebAug 10, 2015 · Here a dense subgraph is defined as a subgraph with high density (#.edge / #.node). Existing studies of this problem either focus on finding the densest subgraph or identifying an optimal clique-like dense subgraph, and they adopt a simple greedy approach to find the top-kdense subgraphs. t slot covers 5/8WebJan 21, 2006 · Greedily finding a dense subgraph Authors: Yuichi Asahiro Kyushu Sangyo University Kazuo Iwama Hisao Tamaki Takeshi Tokuyama Request full-text … t slot floor mountWebGiven an n-vertex graph with non-negative edge weights and a positive integer k ≤ n, we are to find a fc-vertex subgraph with the maximum weight. We study the following greedy … t slot hardwareWebGiven an n-vertex graph with nonnegative edge weights and a positive integer k ≤ n, our goal is to find a k-vertex subgraph with the maximum weight. We study the following … t slot face plateWebThe densest subgraph problem seeks a set of nodes that maximizes the ratio between the number of edges and nodes in the subgraph induced by : maximize (1) The numerator of this objective is equal to half the sum of induced node degrees in , and therefore this problem is equivalent to find- ing the maximum average degree subgraph: max t slot cutter 2d drawingWebJan 1, 2005 · Given an n -vertex graph with non-negative edge weights and a positive integer k ≤ n, we are to find a k -vertex subgraph with the maximum weight. We study … t-slot fence