scholarly journals Computing 2-Connected Components and Maximal 2-Connected Subgraphs in Directed Graphs: An Experimental Study

Author(s):  
Loukas Georgiadis ◽  
Giuseppe F. Italiano ◽  
Aikaterini Karanasiou ◽  
Nikos Parotsidis ◽  
Nilakantha Paudel
Author(s):  
Nikola Beneš ◽  
Luboš Brim ◽  
Samuel Pastva ◽  
David Šafránek

AbstractProblems arising in many scientific disciplines are often modelled using edge-coloured directed graphs. These can be enormous in the number of both vertices and colours. Given such a graph, the original problem frequently translates to the detection of the graph’s strongly connected components, which is challenging at this scale.We propose a new, symbolic algorithm that computes all the monochromatic strongly connected components of an edge-coloured graph. In the worst case, the algorithm performs $$O(p\cdot n\cdot \log n)$$ O ( p · n · log n ) symbolic steps, where p is the number of colours and n the number of vertices. We evaluate the algorithm using an experimental implementation based on Binary Decision Diagrams (BDDs) and large (up to $$2^{48}$$ 2 48 ) coloured graphs produced by models appearing in systems biology.


Author(s):  
Shiri Chechik ◽  
Thomas Dueholm Hansen ◽  
Giuseppe F. Italiano ◽  
Veronika Loitzenbauer ◽  
Nikos Parotsidis

10.37236/1065 ◽  
2006 ◽  
Vol 13 (1) ◽  
Author(s):  
J. S. Caughman ◽  
J. J. P. Veerman

Let $G$ denote a directed graph with adjacency matrix $Q$ and in-degree matrix $D$. We consider the Kirchhoff matrix $L=D-Q$, sometimes referred to as the directed Laplacian. A classical result of Kirchhoff asserts that when $G$ is undirected, the multiplicity of the eigenvalue 0 equals the number of connected components of $G$. This fact has a meaningful generalization to directed graphs, as was recently observed by Chebotarev and Agaev in 2005. Since this result has many important applications in the sciences, we offer an independent and self-contained proof of their theorem, showing in this paper that the algebraic and geometric multiplicities of 0 are equal, and that a graph-theoretic property determines the dimension of this eigenspace – namely, the number of reaches of the directed graph. We also extend their results by deriving a natural basis for the corresponding eigenspace. The results are proved in the general context of stochastic matrices, and apply equally well to directed graphs with non-negative edge weights.


2019 ◽  
Vol 49 (8) ◽  
pp. 988-1004
Author(s):  
Jin ZHAO ◽  
Haikun LIU ◽  
Hai JIN ◽  
Yu ZHANG ◽  
Xiaofei LIAO ◽  
...  

Author(s):  
Daniele Frigioni ◽  
Tobias Miller ◽  
Umberto Nanni ◽  
Giulio Pasqualone ◽  
Guido Schaefer ◽  
...  

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