Super Connectivity and Super Edge Connectivity of the Mycielskian of a Graph

2011 ◽  
Vol 28 (2) ◽  
pp. 143-147 ◽  
Author(s):  
Litao Guo ◽  
Ruifang Liu ◽  
Xiaofeng Guo
2003 ◽  
Vol 140 (2-3) ◽  
pp. 245-254 ◽  
Author(s):  
Y-Chuang Chen ◽  
Jimmy J.M. Tan ◽  
Lih-Hsing Hsu ◽  
Shin-Shin Kao

Author(s):  
Mengyue Cao ◽  
Tongtong Ding ◽  
Min Xu

In this paper, we present a new interconnection topology, called the[Formula: see text]-modified-bubble-sort graph, which is a generalization of the modified-bubble-sort graph. Additionally, we show many of its properties, such as its hierarchical structure, vertex transitivity, connectivity, edge-connectivity, super connectivity and super edge-connectivity. The [Formula: see text]-modified-bubble-sort graph presents more flexibility than the modified-bubble-sort graph in terms of its major design properties.


2021 ◽  
pp. 2142009
Author(s):  
Mei-Mei Gu ◽  
Jou-Ming Chang

The Bouwer graph [Formula: see text], proposed in 1970, is defined for every triple [Formula: see text] of integers greater than [Formula: see text] with [Formula: see text]. It has many good properties, such as vertex-transitive and edge-transitive. Conder and Žitnik used a cycle-counting argument to prove that almost all of the Bouwer graphs are half-arc-transitive in 2016. In this paper, by exploring the structure properties of [Formula: see text], we investigate some reliability measures, including super connectivity and super-edge connectivity, and show that the super connectivity and super-edge connectivity of the Bouwer graph are both [Formula: see text] for [Formula: see text], [Formula: see text] and [Formula: see text].


2021 ◽  
Vol 37 (3) ◽  
pp. 1013-1023
Author(s):  
J. Leaños ◽  
Christophe Ndjatchi
Keyword(s):  

Author(s):  
Sinan G. Aksoy ◽  
Mark Kempton ◽  
Stephen J. Young

2006 ◽  
Vol 17 (03) ◽  
pp. 677-701 ◽  
Author(s):  
YUNG H. TSIN

A distributed algorithm for finding the cut-edges and the 3-edge-connected components of an asynchronous computer network is presented. For a network with n nodes and m links, the algorithm has worst-case [Formula: see text] time and O(m + nhT) message complexity, where hT < n. The algorithm is message optimal when [Formula: see text] which includes dense networks (i.e. m ∈ Θ(n2)). The previously best known distributed algorithm has a worst-case O(n3) time and message complexity.


2003 ◽  
Vol 269 (1-3) ◽  
pp. 13-20 ◽  
Author(s):  
Camino Balbuena ◽  
Daniela Ferrero
Keyword(s):  

2016 ◽  
Vol 32 (6) ◽  
pp. 2575-2589
Author(s):  
Seongmin Ok ◽  
R. Bruce Richter ◽  
Carsten Thomassen

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