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Articles

Two kinds of conditional connectivity of hypercubes

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Pages 255-260 | Received 17 Jun 2022, Accepted 27 Sep 2022, Published online: 14 Oct 2022

Abstract

A subset FV(G) is called an h-extra r-component cut of G if GF is disconnected and there are at least r components, each component has at least h + 1 vertices. The cardinality of a minimum h-extra r-component cut of G, denoted by cκrh(G), is the h-extra r-component connectivity of G. In this paper, we introduce a novel connectivity called the g-good r-component connectivity. For FV(G), if GF is disconnected and there are at least r components and each vertex vGF has at least g neighbors, then F is called a g-good r-component cut of G; the g-good r-component connectivity of G, denoted by cκg,r(G), is the minimum cardinality of a g-good r-component cut of G. In this work, we prove that cκ32(Qn)=6n20 for n9 and cκ2,3(Qn)=8n24 for n11, where Qn is n-dimension hypercube.

1. Introduction

The topological structure of a computer interconnection network can be represented by a graph, where vertices represent processors and edges represent communication links between processors. To evaluate the reliability and fault tolerance of a network in communication, many related concepts and graph parameters have been put forward. The connectivity of graph is an important parameter reflecting the strength between two nodes in an interconnection network. The traditional connectivity of a graph is the minimum number of vertices whose removal leaves the remaining graph disconnected or trivial. Note that, in the event of a random node failure, it is very unlikely that all of the nodes adjacent to a single node fail simultaneously. Thus, the traditional connectivity has certain limitations and underestimates the resilience of the network. To measure the fault tolerance of an interconnection network more accurately, Harary [Citation8] introduced the concept of the conditional connectivity by placing some requirements on the components of GF for FV(G).

Here are some of the most studied conditional connectivity: g-good neighbor connectivity, h-extra connectivity and r-component connectivity. For a faulty set FV(G), if F is called a g-good neighbor cut of G, then GF is disconnected and each vertex vGF has at least g neighbors. The minimum cardinality of g-good neighbor cuts is said to be the g-good neighbor connectivity of G, denoted by κg(G). The relevant results of the g-good neighbor connectivity can be referred to [Citation11, Citation12, Citation14, Citation16, Citation19]. It was stated in [Citation15] that introduced the concept of the g-extra connectivity, and Fàbrega and Fiol [Citation4, Citation5] gave a result regarding this concept. An h-extra cut of G is a set of vertices whose deletion results in GF is disconnected and each remaining component has more than h vertices. The h-extra connectivity of a graph G, denoted by κh, is the minimum cardinality of h-extra cuts of G. Recent results of the h-extra connectivity can be referred to [Citation6, Citation7, Citation13, Citation23, Citation26]. Let G be a non-complete graph and r be a positive integer. A r-component cut of G is a set of vertices whose deletion results in at least r components. The r-component connectivity cκr(G) of a graph G is the cardinality of the smallest r-component cut of G. For more research on the r-component connectivity, we refer to [Citation2, Citation3, Citation9, Citation17, Citation20, Citation24].

The above mentioned conditional connectivity is only a condition that restricts the components of GF. In some cases, we need to have various restrictions on the components of GF. Recently, Li et al. [Citation10] introduced the h-extra r-component connectivity, and the authors prove that cκ31(Qn)=4n8 for n7 and cκ41(Qn)=6n18 for n9. For two integers r2 and h0, a subset FV is called an h-extra r-component cut of G if there are at least r connected components in GF and each component has at least h + 1 vertices. The minimum cardinality of h-extra r-component cuts of G, if exists, is the h-extra r-component connectivity of G, denoted by cκrh(G). At present, there are few results on the h-extra r-component connectivity.

In this paper, we give the concept of the g-good r-component connectivity.

Definition 1.1.

Let G be a connected graph, for FV(G), if G – F is disconnected and there are at last r components and each vertex vGF has at least g neighbors, then F is called a g-good r-component cut of G. The g-good r-component connectivity of G, denoted by cκg,r(G), is the minimum cardinality of g-good r-component cuts of G.

In this work, we prove that cκ32(Qn)=6n20 for n9 and cκ2,3(Qn)=8n24 for n11, where Qn is n-dimension hypercube.

2. Preliminaries

Hypercube is a very well-known and fundamental computer network model. An n-dimension hypercube Qn has 2n vertices and n2n1 edges. Each vertex in Qn is represented as an n-bit binary ({0, 1}) string and two vertices are adjacent if and only if they differ exactly in one position. We set Qn1i be the subgraph of Qn induced by the bit n being i, where i = 0, 1. Obviously, Qn1i is isomorphic to Qn1 for i = 0, 1. For each vertex in Qn10(respectively, Qn11), there is a neighbor in Qn11(respectively, Qn10), which is called the outer neighbor. Note that Qn is a bipartite graph, so there is no odd cycles in Qn. See .

Figure 1. Qn for n = 1, 2, 3.

Figure 1. Qn for n = 1, 2, 3.

Given a graph G, let V(G), E(G), and (u, v) denote the set of vertices, the set of edges, and the edge whose end vertices are u and v. For an integer n1, the path Pn is a graph of order n and size n – 1 whose vertices can be labeled by v1v2vn. For an integer n3, the cycle Cn is a graph of order n and size n which can be represented by v1v2vnv1. The degree of vertex u in graph G is the number of neighbors, denoted by d(v). The neighbors of a vertex u in G is denoted by NG(u). For a set UV(G), the neighbors in V(G)U of vertices in U are called the neighbors of U, denoted by NG(U). Terminologies not given here can be referred to [Citation1].

Here are some lemmas that will be used in this paper.

Lemma 2.1

[Citation18, Citation22]. For any integer 1tn+1, the minimum number of vertices adjacent to t vertices in Qn is pn(t)=t22+(n12)+1. For any integer n+2t2n, the minimum number of vertices adjacent to t vertices in Qn is qn(t)=t22+(2n32)n2+2.

Lemma 2.2

[Citation25]. If |F|<3n5 for n4, then QnF is either connected or disconnected with a large connected component and remaining small components containing at most two vertices in total.

Lemma 2.3

[Citation25]. If |F|<5n14 for n4, then QnF is either connected or disconnected with a large connected component and remaining small components containing at most four vertices in total.

Lemma 2.4

[Citation21]. For n5 and any TV(Qn), if |T|2n and |V(Qn)(TNQn(T))||T|, then |NQn(T)|qn(2n), where qn(2n) is as defined in Lemma 2.1.

Lemma 2.5.

Let Ca and Cb be cycles with length 4 in Qn. If |NQn(V(Ca))V(Cb)|= and |NQn(V(Ca))V(Cb)|=, then |NQn(V(Ca))NQn(V(Cb))|8.

Proof.

Let Ca=x1x2x3x4x1 and Cb=y1y2y3y4y1. By the structure of Qn, for any two vertices x and y have either two common neighbors or no common neighbors. If x1 and y1 have two common neighbors, then x1 and y2 or y4 have no common neighbor, otherwise, there is a cycle with length 5. Moreover, x1 and y3 also have no common neighbor, otherwise, there is a cycle with length 7. Similarly to xi and yi for 2i4. So |NQn(V(Ca))NQn(V(Cb))|8.

Lemma 2.6.

For n9 and 1i3,vi,uiV(Qn). Let P3=v1v2v3 and P3=u1u2u3. If |NQn(V(P3))V(P3)|= and |NQn(V(P3))V(P3)|=, then |NQn{v1,v2,v3,u1,u2,u3}|6n20.

Proof.

Since Qn has no odd cycle, adjacent vertices have no common neighbor. By the structure of Qn, for any two vertices u and v, they have either two common neighbors or no common neighbor. Since v2(respectively, u2) is a common neighbor of v1 and v3(respectively, u1 and u3), it follows that v1 and v3(respectively, u1 and u3) have another common neighbor. Considering the following cases:

Case 1. u1 and v1 have two common neighbors.

Since u1 and v1 have two common neighbors, we know that u1 have at most two common neighbors with v3 and u1, respectively. u1 and v2 have no common neighbor, otherwise, there is a cycle with length 5. Moreover, u2 has no common neighbor with v1 and v3, otherwise, there is a cycle with length 5, and u2 have at most two common neighbors with v2. Similarly, u3 have at most two common neighbors with v1 and v3, respectively. And u3 have no common neighbor with v2, otherwise, there is a cycle with length 5. By the above discussion, we can get the path P3 and P3 have at most 10 common neighbors. Thus |NQn{v1,v2,v3,u1,u2,u3}|4(n1)+2(n2)2×110=6n20.

Case 2. u1 and v2 have two common neighbors.

If u1 and v2 have two common neighbors, then u1 have no common neighbor with v1 and v3, otherwise, there is a cycle with length 5. Vertex u2 have at most two common neighbors with v1, then u2 have no common neighbor with v2, otherwise, there is a cycle with length 5. Moreover, u2 have at most two common neighbors with v3. Vertex u3 have no common neighbor with v1 and v3, otherwise, there is a cycle with length 7. And u3 have at most two common neighbors with v2. After the above discussion, we can get the path P3 and P3 have at most 8 common neighbors. Thus |NQn{v1,v2,v3,u1,u2,u3}|4(n1)+2(n2)2×18=6n18.

Case 3. u1 and v3 have two common neighbors.

The proof of this case is the same as the proof of Case 1.

Case 4. u2 and v1 or u2 and v3 have two common neighbors.

The proof for this case is the same as the proof for the Case 2.

Case 5. u2 and v2 have two common neighbors.

Since u2 and v2 have two common neighbors, we have u2 and v1 or u2 and v3 have no common neighbor, otherwise, there is a cycle with length 5. After a simple check, u1 have at most two common neighbors with v1 and v3. Similarly, u3 have at most two common neighbors with v3 and v1. Thus |NQn{v1,v2,v3,u1,u2,u3}|4(n1)+2(n2)2×15×2=6n20.

Case 6. u3 and v1 or u3 and v2 or u3 and v3 have two common neighbors.

The proof of this case is the same as the proof of Case 1, Case 2 and Case 3, respectively. □

3. g-good r-component connectivity

In this section, we will show the 2-good 3-component connectivity of hypercubes.

Lemma 3.1.

Let Qn be an n-dimension hypercube. Then cκ2,3(Qn)8n24 for n11.

Proof.

Let C4=u1u2u3u4u1 and C4=v1v2v3v4v1 be cycles in Qn. Without loss generality, suppose that u1=000010,,0, u2=000000,,0,u3=000100,,0,u4=000110,,0, and v1=011010,,0,v2=011000,,0, v3=011100,,0,v4=011110,,0, ui and vi have two common neighbors for 1i4. We set F=NQn(V(C4))NQn(V(C4)), then |F|=8(n2)4×2=8n24, see . There are at least three components in QnF. For any vertex v in cycle C4 or C4, d(v) = 2. Let uV(QnFC4C4). If u and u1 have common neighbors, then u and u2 or u4 have no common neighbors, otherwise, there would be a cycle with length 5 in Qn. Since |NQn(u){NQn(u1)NQn(u2)}|2 and |NQn(u){NQn(u3)NQn(u4)}|2, we have |NQn(u){NQn(V(C4))NQn(V(C4))}|8. Since Qn is n-regular and n83, it follows that u has at least two neighbors. So cκ2,3(Qn)8n24 for n11.

Figure 2. Graph Explanation of Lemma 3.1.

Figure 2. Graph Explanation of Lemma 3.1.

Figure 3. Graph Explanation of Case 1.

Figure 3. Graph Explanation of Case 1.

Lemma 3.2.

Let Qn be an n-dimension hypercube. Then cκ2,3(Qn)8n24 for n11.

Proof.

Let F be a 2-good 3-component cut of Qn and |F|8n25. Let F0=FQn10 and F1=FQn11. Then F=F0F1. Without loss of generality, suppose that |F0||F1|. Since |F|=|F0|+|F1|8n25, we have |F0|4n13=4(n1)9<5n14 for n4. By Lemma 2.3, we consider the following cases:

Case 1. Qn10F0 is connected.

Since F is a 2-good 3-component cut, we have Qn11F1 is disconnected and QnF exists two connected components, denoted by W1 and W2. There is no cycle with length 3 in Qn, so W1 and W2 contain at least a cycle with length 4. By the structure of Qn, each vertex in Qn11 has an outer neighbor in Qn10, thus 8|V(W1)|+|V(W2)||F0|4n13. It is clear that NQn(V(W1))V(W2)= and NQn(V(W2))V(W1)=, so |NQn(V(W1))NQn(V(W2))|=|NQn{V(W1W2)}|, see . Let T1=V(W1W2) and |T1|=t for 8t4n13. We have |NQn(T1)|>8n25 for 8t4n13 and n11. Since |V(Qn)(T1Qn(T1))|2n(4n13)(8n25)>4n13|T1|, it follows that |NQn(T1)|>qn(2n) for 2n<t4n13 by Lemma 2.4. According to Lemma 2.1, |NQn(T1)|>pn(t) for 8<tn+1 and |NQn(T1)|>qn(t) for n+2<t2n when n11. The minimum value of these two quadratic functions pn(t) and qn(t) is min {pn(8),pn(n+1),qn(n+2),qn(2n)}=pn(8) for n11. The quadratic gets the minimum value if and only if |T1|=|V(W1)|+|V(W2)|=8. In this case, W1 and W2 are exactly two cycles with length 4 in QnF. By Lemma 2.5, we have |NQn(V(W1))NQn(V(W2))|8(n2)8=8n24. It follows that |F||NQn(V(W1))NQn(V(W2))|8n24, and a contradiction is obtained.

Case 2. Qn10F0 is disconnected with a large connected component and remaining small components containing at most four vertices in total.

Since F is a 2-good 3-component cut and each vertex in Qn10 only has one outer neighbor in Qn11, the connected components of Qn10F0 contain no isolated vertices. The graphs with no isolated vertices induced by at most 4 vertices are shown in . We divide into the following four cases for discussion.

Subcase 2.1. Qn10F0 is disconnected with a large connected component and a path P2 (), denoted by v1v2.

Figure 4. The graphs with no isolated vertices induced by at most 4 vertices.

Figure 4. The graphs with no isolated vertices induced by at most 4 vertices.

Figure 5. Graph introduction to Subcase 2.1.

Figure 5. Graph introduction to Subcase 2.1.

There are at least two connected components in Qn11F1, one of which contains the outer neighbors of v1 and v2, denoted by W3, and another connected component which is also the connected component of QnF, denoted by W4. Let W3=W3{v1v2} and W3 is a connected component of QnF, see . It is obvious that NQn11(V(W3))V(W4)= and NQn11(V(W4))V(W3)=, so NQn11{V(W3)V(W4)}=NQn11(V(W4))NQn11(V(W3)). Let T2=V(W3W4) and |T2|=t. Since each vertex in Qn11 has an outer neighbor in Qn10, we have NQn10{V(W3W4)}F0{v1,v2}. So t=|V(W3W4)|4n15. The following discussion is similar to Case 1, where the quadratic function pn(t) gets the minimum value at t=8. Then connected components W3 and W4 are cycles with length 4 in QnF. By Lemma 2.5, we have |NQn(V(W3))NQn(V(W4))|8(n2)8=8n24. It follows that |F||NQn(V(W3))NQn(V(W4))|8n24, and a contradiction is obtained.

Subcase 2.2. Qn10F0 is disconnected with a large connected component and a path P3 (), denoted by v3v4v5.

In Qn11F1, there are at least two connected components, denoted by W5 and W6. Without loss of generality, suppose that W5 contains outer neighbors of v3, v4 and v5. Since NQn10{V(W5W6)}F0{v3,v4,v5}, it follows that |V(W5W6)|4n16. It is the same as the discussion in Subcase 2.1, and a contradiction is obtained.

Subcase 2.3. Qn10F0 is disconnected with a large connected component and a cycle with length 4 (), denoted by C=u1u2u3u4u1.

There are at least two connected components in Qn11F1, denoted by W7 and W8. If C is a connected component of QnF, then NQn10{V(W7W8)}F0. So |V(W7W8)|4n13. Then from the same reason as Subcase 2.1, we get a contradiction. If C is not a connected component of QnF, then NQn10{V(W7W8)}F0{u1,u2,u3,u4}. So |V(W7W8)|4n17. It is the same as the discussion in Subcase 2.1, and a contradiction is obtained.

Subcase 2.4. Qn10F0 is disconnected with a large connected component and a path P4 (), denoted by v6v7v8v9.

There are at least two connected components in Qn11F1, denoted by W7 and W8. Hence we have NQn10{V(W7W8)}F0{v6,v7,v8,v9}, it follows that |V(W7W8)|4n17. It is similar to the above discussion in Subcase 2.1 and a contradiction is obtained. The proof is the same as the other two subgraphs ( and ), we just prove the path P4. □

By Lemma 3.1 and Lemma 3.2, the following theorem is established.

Theorem 3.3.

Let Qn be an n-dimension hypercube. Then cκ2,3(Qn)=8n24 for n11.

4. g-extra r-component connectivity

Lemma 4.1.

Let Qn be an n-dimension hypercube. Then cκ32(Qn)6n20 for n9.

Proof.

Let u1=000000,,0,u2=100000,,0, u3=100010,,0 and v1=0000110,,0, v2=1000110,,0,v3=1000100,,0. Let F=NQn{u1,u2,u3}NQn{v1,v2,v3}. Then |F|=4(n1)+2(n2)2×51×2=6n20, see . There are at least three connected components in QnF, two of which are paths with length 3, denoted by u1u2u3 and v1v2v3, respectively. Since Qn is bipartite, there is no odd cycle in Qn. For any wV(QnF{u1u2u3,v1v2v3}), |NQn(w)F|8. When |NQn(w)F|=8, w has two common neighbors with u1,u3,v1 and v3. It follows that w has a neighbor w in QnF because the regularity of Qn is n(n9). The vertex w has at most two common neighbors with u2 and v2, respectively. Then |NQn(w)F|4, we have w have at least 5 neighbors in QnF. So every connected component of QnF has at least three vertices, thus cκ32(Qn)6n20 for n9.

Figure 6. Graph Explanation of Lemma 4.1.

Figure 6. Graph Explanation of Lemma 4.1.

Lemma 4.2.

Let Qn be an n-dimension hypercube. Then cκ32(Qn)6n20 for n9.

Proof.

Suppose that F is a 2-extra 3-component cut and |F|6n21. Let F0=FQn10 and F1=FQn11. Without loss of generality, suppose that |F0||F1|. Since |F|=|F0|+|F1|6n21, we have |F0|3n11=3(n1)8<3n5. By Lemma 2.2, we consider the following cases:

Case 1. Qn10F0 is connected.

Since F is a 2-extra 3-component cut, we have Qn11F1 is disconnected and exists two connected components in QnF, denoted by S1 and S2. It is clear that 6|V(S1)|+|V(S2)||F0|3n11. Since NQn(V(S1))V(S2)= and NQn(V(S2))V(S1)=, it follows that |NQn(V(S1))NQn(V(S2))|=|NQn{V(S1S2)}|. Let T=V(S1S2) and |T|=t for 6t3n11. We have |NQn(T)|>6n21 for 6t3n11 and n9. Since |V(Qn)(TQn(T))|2n(3n11)(6n21)>3n11|T|, it follows that |NQn(T)|>qn(2n) for 2n<t3n11 by Lemma 2.4. By Lemma 2.1, |NQn(T)|>pn(t) for 6<tn+1 and |NQn(T)|>qn(t) for n+2<t2n when n9. The minimum value of these two quadratic functions pn(t) and qn(t) is min {pn(6),pn(n+1),qn(n+2),qn(2n)}=pn(6) for n9. The quadratic gets the minimum value if and only if |T|=|V(S1)|+|V(S2)|=6. In this case, S1 and S2 are paths with length 3 in QnF. By Lemma 2.6, we have |NQn(V(S1))NQn(V(S2))|6n20. Hence |F||NQn(V(S1))NQn(V(S2))|6n20, and a contradiction is obtained.

Case 2. Qn10F0 is disconnected with a large connected component and remaining small components containing at most two vertices in total.

Subcase 2.1. Qn10F0 is disconnected with a large connected component and an isolated vertex, denoted by v1.

In Qn11F1, there are at least two connected components, denoted by S3 and S4. Since NQn10{V(S3S4)}F0{v1}, it follows that |V(S3S4)|3n12. It is similar to Case 1, and a contradiction is obtained.

Subcase 2.2. Qn10F0 is disconnected with a large connected component and two isolated vertices, denoted by v2 and v3.

There are at least two connected components in Qn11F1, denoted by S5 and S6. Since NQn10{V(S5S6)}F0{v2,v2}, it follows that |V(S5S6)|3n13. It is similar to Case 1 and a contradiction is obtained.

Subcase 2.3. Qn10F0 is disconnected with a large connected component and a path P2, denoted by v4v5.

This proof is the same as Subcase 2.2. □

By Lemma 4.1 and Lemma 4.2, we have the following result.

Theorem 4.3.

Let Qn be an n-dimension hypercube. Then cκ32(Qn)=6n20 for n9.

5. Concluding remarks

In this paper, we obtain cκ2,3(Qn)=8n24 when n11 and cκ32(Qn)=6n20 when n9. These questions still remain open, we can consider more general results like cκ2,r(Qn)=? and cκr2(Qn)=? Other forms of the novel connectivity can also be considered, which are valuable for measuring the fault tolerance of interconnection networks.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

Additional information

Funding

This work is supported by the Science Found of Qinghai Province (No. 2021-ZJ-703), the National Science Foundation of China (No. 11661068).

References

  • Bondy, J. A, Murty, U. S. R. (2008). Graph Theory. Berlin: Springer-Verlag.
  • Chang, J. M., Pai, K. J., Wu, R. Y, Yang, J. S. (2019). The 4-component connectivity of alternating group networks. Theor. Comput. Sci. 766: 38–45.
  • Cheng, E., Qiu, K, Shen, Z. (2014). Connectivity results of hierarchical cubic networks as associated with linearly many faults. IEEE International Conference on Computational Science and Engineering, pp. 1213–1220.
  • Fàbrega, J, Fiol, M. A. (1994). Extra connectivity of graphs with large girth. Discrete Math. 127(1-3): 163–170.
  • Fàbrega, J, Fiol, M. A. (1996). On the extra connectivity of graphs. Discrete Math. 155(1-3): 49–57.
  • Guo, J, Lu, M. (2016). The extra connectivity of bubble-sort star graphs. Theor. Comput. Sci. 645: 91–99.
  • Han, W. P, Wang, S. Y. (2015). The g-extra conditional diagnosability of folded hypercubes. Appl. Math. Sci. 9: 346–357.
  • Harary, F. (1983). Conditional connectivity. Networks 13(3): 347–357.
  • Hsu, L. H., Cheng, E., Lipták, L., Tan, J. J. M., Lin, C. K, Ho, T. Y. (2012). Component connectivity of the hypercubes. Int. J. Comput. Math. 89 (2): 137–145.
  • Li, B., Lan, J. F., Ning, W. T., Tian, Y. C., Zhang, X, Zhu, Q. (2021). h-extra r-component connectivity of interconnection networks with application to hypercubes. Theor. Comput. Sci. 895: 68–74.
  • Li, D, Lu, M. (2017). The g-good-neighbor conditional diagnosability of star graphs under the PMC and MM* model. Theor. Comput. Sci. 674: 53–59.
  • Lin, L., Xu, L., Wang, D, Zhou, S. (2018). The g-good-neighbor conditional diagnosability of arrangement graphs. IEEE Trans. Depend. Secure Comput. 15(3): 542–548.
  • Lin, L., Xu, L, Zhou, S. (2015). Conditional diagnosability and strong diagnosability of split-star networks under the PMC model. Theor. Comput. Sci. 562: 565–580.
  • Peng, S. L., Lin, C. K., Tan, J. M, Hsu, L. H. (2012). The g-good-neighbor conditional diagnosability of hypercube under PMC model. Appl. Math. Comput. 218: 10406–10412.
  • Preparata, F. P., Metze, G, Chien, R. T. (1967). On the connection assignment problem of diagnosable systems. IEEE Trans. Electron. Comput. EC-16(6): 848–854.
  • Ren, Y, Wang, S. (2017). The g-good-neighbor diagnosability of locally twisted cubes. Theor. Comput. Sci. 697: 91–97.
  • Sampathkumar, E. (1984). Connectivity of a graph-a generalization. J. Comb. Inf. Syst. Sci. 9: 71–78.
  • Somani, A. K, Peleg, O. (1996). On diagnosability of large fault sets in regular topology-based computer systems. IEEE Trans. Comput. 45 (8): 892–903.
  • Wei, Y, Xu, M. (2018). The 1, 2-good-neighbor conditional diagnosabilities of regular graphs. Appl. Math. Comput. 334: 295–310.
  • Xu, L., Zhou, S, Yang, W. (2020). Component connectivity of Cayley graphs generated by transposition trees. Int. J. Parallel Emerg. Distrib. Syst. 35(1): 103–110.
  • Yang, W, Meng, J. (2010). Extraconnectivity of hypercubes(ii). Australas. J. Comb. 47: 189–195.
  • Yang, X., Cao, J., Megson, G. M, Luo, J. (2006). Minimun neighborhood in a generalized cube. Inf. Process. Lett. 97 (3): 88–93.
  • Zhang, M. M, Zhou, J. X. (2015). On g-extra connectivity of folded hypercubes. Theor. Comput. Sci 593: 146–153.
  • Zhao, S., Yang, W, Zhang, S. (2016). Component connectivity of hypercubes. Theor. Comput. Sci. 640: 115–118.
  • Zhu, Q., Wang, X, Cheng, G. (2013). Reliability evaluation of bc networks. IEEE Trans. Comput. 62 (11): 2337–2340.
  • Zhu, Q, Zhang, X. (2017). The h-extra conditional diagnosability of hypercubes under the PMC model and MM* model. Int. J. Comput. Math. Comput. Syst. Theory 1(1-4): 141–150.