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An optimal algorithm to solve the all-pairs shortest paths on unweighted interval graphs (1992)

by R Ravi, M V Marathe, R Pandu, C
Venue:Networks
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Fast Approximation of Centrality

by David Eppstein, Joseph Wang - Journal of Graph Algorithms and Applications , 2001
"... Social studies researchers use graphs to model group activities in social networks. An important property in this context is the centrality of a vertex: the inverse of the average distance to each other vertex. We describe a randomized approximation algorithm for centrality in weighted graphs. For g ..."
Abstract - Cited by 55 (0 self) - Add to MetaCart
Social studies researchers use graphs to model group activities in social networks. An important property in this context is the centrality of a vertex: the inverse of the average distance to each other vertex. We describe a randomized approximation algorithm for centrality in weighted graphs. For graphs exhibiting the small world phenomenon, our method estimates the centrality of all vertices with high probability within a (1 + #) factor in near-linear time. 1 Introduction In social network analysis, the vertices of a graph represent agents in a group and the edges represent relationships, such as communication or friendship. The idea of applying graph theory to analyze the connection between the structural centrality and group process was introduced by Bavelas [4]. Various measurement of centrality [7, 14, 15] have been proposed for analyzing communication activity, control, or independence within a social network. We are particularly interested in closeness centrality [5, 6, 24]...

An optimal algorithm for shortest paths on weighted interval and circular-arc graphs, with applications, Algorithmica 14

by M J Atallah, D Z Chen, D T Lee , 1995
"... ..."
Abstract - Cited by 15 (1 self) - Add to MetaCart
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...ts are sorted. See, e.g. [12] weighted interval graphs was O(n 2 log n) (by using [9]). An O(n 2 ) time and space algorithm for the unweighted case of the all-pair shortest paths problem was given in =-=[11]-=-, and these bounds have been improved recently by Chen and Lee [5]. We henceforth assume that the intervals are given sorted by their left endpoints, and also sorted by their right endpoints. This is ...

Solving the All-Pair Shortest Path Query Problem on Interval and Circular-Arc Graphs

by Danny Z. Chen, D. T. Lee, R. Sridhar, Chandra N. Sekharan - Networks , 1998
"... In this paper, we study the following all-pair shortest path query problem: Given the interval model of an unweighted interval graph of n vertices, build a data structure such that each query on the shortest path (or its length) between any pair of vertices of the graph can be processed efficiently ..."
Abstract - Cited by 13 (1 self) - Add to MetaCart
In this paper, we study the following all-pair shortest path query problem: Given the interval model of an unweighted interval graph of n vertices, build a data structure such that each query on the shortest path (or its length) between any pair of vertices of the graph can be processed efficiently (both sequentially and in parallel). We show that, after sorting the input intervals by their endpoints, a data structure can be constructed sequentially in O(n) time and O(n) space; using this data structure, each query on the length of the shortest path between any two intervals can be answered in O(1) time, and each query on the actual shortest path can be answered in O(k) time, where k is the number of intervals on that path. Furthermore, this data structure can be constructed optimally in parallel, in O(log n) time using O(n= log n) CREW PRAM processors; each query on the actual shortest path can be answered in O(1) time using k processors. Our techniques can be extended to solving the ...
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...on involving small integers only. M(n) is currently known to be O(n 2:376 )[9]. The above-mentioned all-pair shortest path problem on unweighted interval graphs was recently considered by Ravi et al. =-=[18]-=-, and they gave a sequential algorithm that runs in O(n 2 ) time and uses O(n 2 ) space to store the lengths of the all-pair shortest paths. In this paper, we show that, given the interval model, the ...

Solving the All-Pairs-Shortest-Length Problem on Chordal Bipartite Graphs

by Chin-Wen Ho, Jou-ming Chang
"... The all-pairs-shortest-length (APSL) problem of a graph is to find the lengths of the shortest paths between all pairs of vertices. In this paper, we study the APSL problem on chordal bipartite graphs. By a simple reduction, we show that solving the APSL problem on chordal bipartite graphs can be tr ..."
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The all-pairs-shortest-length (APSL) problem of a graph is to find the lengths of the shortest paths between all pairs of vertices. In this paper, we study the APSL problem on chordal bipartite graphs. By a simple reduction, we show that solving the APSL problem on chordal bipartite graphs can be transformed to solving the same problem on certain strongly chordal graphs. Consequently, there is an O(n 2 ) time-optimal algorithm for this problem. Keywords: shortest paths, chordal bipartite graphs, strongly chordal graphs. All correspondence should be addressed to Professor Chin-Wen Ho, Institute of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan 32054. (e-mail: hocw@csie.ncu.edu.tw) 1 . Introduction All graphs considered in this paper are undirected, loopless and without multiple edges. Let G = (V; E) be a graph with vertex set V of size n and edge set E of size m. If G is associated with a weighted function w : E ! R, the length of a pa...

AN OPTIMAL PARALLEL ALGORITHM FOR SOLVING ALL-PAIRS SHORTEST PATHS PROBLEM ON CIRCULAR-ARC GRAPHS

by Anita Saha, Madhumangal Pal, Tapan, K. Pal
"... Abstract. The shortest-paths problem is a fundamental problem in graph theory and finds diverse applications in various fields. This is why short-est path algorithms have been designed more thoroughly than any other algorithm in graph theory. A large number of optimization problems are mathematicall ..."
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Abstract. The shortest-paths problem is a fundamental problem in graph theory and finds diverse applications in various fields. This is why short-est path algorithms have been designed more thoroughly than any other algorithm in graph theory. A large number of optimization problems are mathematically equivalent to the problem of finding shortest paths in a graph. The shortest-path between a pair of vertices is defined as the path with shortest length between the pair of vertices. The shortest path from one vertex to another often gives the best way to route a message between the vertices. This paper presents an O(n2) time sequential algorithm and an O(n2/p + log n) time parallel algorithm on EREW PRAM model for solving all pairs shortest paths problem on circular-arc graphs, where p and n represent respectively the number of processors and the number of vertices of the circular-arc graph.
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...here ν = (3 + ω)/2, ω < 3, and W is the largest edge-length. Galil et al. [9] have improved the dependence on W and have also given an O(W (ω+1)/2nω logn) algorithm for undirected graphs. Ravi et al. =-=[18]-=- and Mirchandani [14] have given sequential algorithms to solve APSP problem on an interval graph in O(n2) time. Pal and Bhattacharjee [15] have designed a parallel algorithm to solve APSP problem on ...

Computation of Average Distance, Radius and Centre of a Circular-Arc Graph in Parallel

by Anita Saha , 2006
"... The determination of centre of a graph is very important task in facility location problem. Computation of centre depends on the computation of radius of the graph. In this paper, we have design some parallel algorithms to find the average distance, radius, diameter and centre of a circular-arc grap ..."
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The determination of centre of a graph is very important task in facility location problem. Computation of centre depends on the computation of radius of the graph. In this paper, we have design some parallel algorithms to find the average distance, radius, diameter and centre of a circular-arc graph. The proposed parallel algorithms run in O(n 2 /p + log n) time on a EREW PRAM, where p and n represent respectively the number of processors and the number of vertices of the circular-arc graph.
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...quired to solve all-pairs shortest path problem. In [40], an algorithm is designed to find external matrix multiplication and this result is used to solve all-pairs shortest path problem. Ravi et al. =-=[35]-=- and Mirchandani [27] have given sequential algorithms to solve APSP problem on an interval graph in O(n 2 ) time. Pal and Bhattacharjee [34] have designed a parallel algorithm to solve APSP problem o...

Annals of Some Algorithms on Cactus Graphs

by Kalyani Das , 2012
"... Abstract. A cactus graph is a connected graph in which every block is either an edge or a cycle. In this paper we give a brief idea how to design some optimal algorithms on cactus graphs in O(n) time, where n is the total number of vertices of the graph. The cactus graph has many applications in rea ..."
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Abstract. A cactus graph is a connected graph in which every block is either an edge or a cycle. In this paper we give a brief idea how to design some optimal algorithms on cactus graphs in O(n) time, where n is the total number of vertices of the graph. The cactus graph has many applications in real life problems, specially in radio communication system.
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...e )/2(3= ωγ + ,s3<ωsand Msis the largest edge length. Galil and Margalit [16] have improved thesdependence of Msand have also given an )( 1)/2 lognnMO ωω+salgorithm forsundirected graph. Ravi et. al. =-=[42]-=- have given a sequential algorithm to solve all-pairsshortest path (APSP)on interval graph in )( 2nO time. Pal and Bhattacharjee in [41]shave given an )( 2nOstime algorithm for finding the distance be...

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