
A network is an abstract structure that consists of nodes that are connected by links. A bipartite network is a type of networks where the set of nodes can be divided into two disjoint sets in a way that each link connects a node from one partition with a node from the other partition. In this paper, we first determine the maximum H-index of networks in the class of all n-node connected bipartite network with matching number t. We obtain that the maximum H-index of a bipartite network with a given matching number is Kt,n−t. Secondly, we characterize the network with the maximum H-index in the class of all the n-vertex connected bipartite network of given diameter. Based on our obtain results, we establish the unique bipartite network with maximum H-index among bipartite networks with a given independence number and cover of a network.
Citation: Shahid Zaman, Fouad A. Abolaban, Ali Ahmad, Muhammad Ahsan Asim. Maximum H-index of bipartite network with some given parameters[J]. AIMS Mathematics, 2021, 6(5): 5165-5175. doi: 10.3934/math.2021306
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A network is an abstract structure that consists of nodes that are connected by links. A bipartite network is a type of networks where the set of nodes can be divided into two disjoint sets in a way that each link connects a node from one partition with a node from the other partition. In this paper, we first determine the maximum H-index of networks in the class of all n-node connected bipartite network with matching number t. We obtain that the maximum H-index of a bipartite network with a given matching number is Kt,n−t. Secondly, we characterize the network with the maximum H-index in the class of all the n-vertex connected bipartite network of given diameter. Based on our obtain results, we establish the unique bipartite network with maximum H-index among bipartite networks with a given independence number and cover of a network.
In this paper we consider simple and finite network. Undefined notation and terminology can be found in [1,2]. The distance between any two nodes is an important quantity in network theory. Generally, the distance between two nodes u,v in N is the length of a shortest u-v path of N, which is denoted by dN(u,v) (or d(u,v) for short). The maximum distance between any two nodes of N is called a diameter. Let DN(v) is the overall sum of distances from any node v in N. Similarly, DN(v) denotes the sum of all reciprocals of distances from v in N. A well-known distance-based invariant is the Wiener index, which was defined as
W(N)=∑{u,v}⊆VNd(u,v)=12∑v⊆VNDN(v). | (1.1) |
Due to the interesting and successful physio-chemical properties of Wiener index, many other distance based topological indices of networks have been flourished. Fortunately, one of such measuring invariants known as the Harary index was proposed by Plavšić et al. [3] and by Ivanciuc et al. [4] independently in 1993, which is defined as
H(N)=∑{u,v}⊆VN1dN(u,v)=12∑v⊆VNDN(v), | (1.2) |
where dN(u,v) is the distance between the nodes u and v. This is a "reciprocal analogue" of the Wiener index. More-formally the Wiener index W(N) is half-sum of the distance matrix of N, and it is obvious to develop a matrix H(N), which is the half-sum of reciprocal analogue of the distance matrix. Such matrix is so-called reciprocal distance matrix or the Harary matrix [5].
The upper (resp. lower) bound and the corresponding extremal graphs of topological indices are very important. Gutman [14] showed that the path and the star are respectively the graphs with minimal and maximal Harary index among all trees. In [15,16,17,18], the authors presented several upper and lower bounds for the Harary index of connected graphs, triangle-free, quadrangle-free graphs, graphs with given diameter, matching number. Ilić et al. [19] investigated the Harary index of trees with various parameters. There are many results concerning the Harary index of graph classes with several constraints, like connectivity [11], trees with given degree sequence [20], unicyclic graphs [21], bicyclic graphs [22], the ordering [23]. Other results related to distance and its invariants, one can see [24]. Recently, Feng et al. [25] investigated the minimal Harary index of trees with small diameters.
The main motivation of establishing most of the results of this paper came from the references [6,7,8,9]. Li et al. [6] studied on the maximal connective eccentricity index of bipartite graphs with given parameters. Li and Song [7] determined on the sum of all distances in bipartite graphs. In [9], Wang et al. characterized the connective eccentricity index of networks and its applications to octane isomers and benzenoid hydrocarbons. To study similar extremal property for the H-index is natural and interesting for us.
Let N=(VN,EN) be a network with node set VN and link set EN. The set of neighbors of a node v in N is denoted by NN(v) or simply N(v). The network obtained from N by deleting an link uv∈EN is denoted by N−uv. Similarly, N+uv is obtained from N by adding an link uv∉EN.
The union of two networks H1 and H2 is denoted by H1∪H2 with VH1∪H2=VH1∪VH2 and EH1∪H2=EH1∪EH2. If H1 and H2 are node disjoint, then we let H1⊎H2 denote the join of H1 and H2, which is the network obtained from H1∪H2 by adding all the links between the nodes x∈VH1 and y∈VH2. For disjoint networks H1,H2,…,Hk with k≥3, the sequential join H1⊎H2⊎⋯⊎Hk is the network (H1⊎H2)∪(H2⊎H3)∪⋯∪(Hk−1⊎Hk). For short, denote by kN and [k]N the union and the sequential join of k disjoint copies of N, respectively. For example, kK1≅¯Kk which is the k isolated nodes and [p]H1⊎H2⊎[q]H3 denotes the sequential join H1⊎H1⊎…⊎H1⏟p⊎H2⊎H3⊎H3⊎…⊎H3⏟q.
A bipartite network N is denoted with bipartition (X,Y) by N[X,Y], and defined as every link has one end in X and the other end in Y. Moreover, if every node of X is connected to every node of Y in N[X,Y], then N is said to be a complete bipartite network. Denote Km,n a unique complete bipartite network with parts of sizes m and n.
Assume that, the set of all n-node connected bipartite networks with matching number "t" is denoted by Mn,t. Whereas, the set of all n-node connected bipartite networks with diameter "d" is denoted by Bn,d.
The set of pairwise non-adjacent links in a network N is called a matching. Without loss of generality, assume that if M is a matching, then the two ends of each link of M are said to be matched under M, and each node incident with an link of M is said to be covered by M. If M covers as many nodes as possible then M is called a maximum matching. The number of links in a maximum matching of a network N is called the matching number of N.
A node (resp. link) independent set of a network N is a set of nodes (resp. links) such that any two distinct nodes (resp. links) of the set are not adjacent (resp. incident on a common node). A node (resp. link) cover of a network N is a set of nodes (resp. links) such that each link (resp. node) of N is incident with at least one node (resp. link) of the set.
Further on, we need the following lemmas. Note that Lemma 2.2 is the extension of Lemma 2.1, introduced by Feng et al. [10].
Lemma 2.1. [11] Let N be a network and for any link e∉EN, then one has H(N+e)>H(N).
Lemma 2.2. [10] If N′=N+uv for a connected network N and uv∉EN, then it holds that
H(N′)⩾H(N)+12, |
where the equality holds if and only if u and v are pendent nodes sharing the same neighbor.
Lemma 2.3. (The König-Egerváry Theorem). (See [12,13]). In any bipartite network, the number of links in a maximum matching is equal to the number of nodes in a minimum covering and denoted by η(N).
Let N=N[X,Y] be a bipartite network such that N∈Mn,t. Based on Lemma 2.3, it is obvious to see η(N)=t. Let S be a minimum covering of N and XM=S∩X, YM=S∩Y. Without loss of generality, suppose that |XM|≥|YM|. Since, S is a covering of N, obviously E(X∖XM,Y∖YM)=∅.
This section deals the sharp upper bound on H-index of n-node bipartite networks with matching number t, and all the corresponding extremal bipartite networks. A covering of a network N is a node subset K⊆VN such that each link of N has at least one end in the set K. The number of nodes in a minimum covering of a network N is called the covering number of N.
Lemma 3.1. Let N1[X,Y] be a bipartite network with the same node set as N, where N∈Mn,t such that E(N1)={xy:x∈XM,y∈Y}∪{xy:x∈X∖XM,y∈YM}. Then, H(N)⩽H(N1) with equality if and only if N≅N1.
Proof. It is easy to check that N is a subnetwork of N1. From Lemma 2.1, the result is obvious.
Based on network N1, we define a new network N2 as: N2=N1−{uv:u∈X∖XM,v∈YM}+{uw:u∈X∖XM,w∈XM}, which is depicted in Figure 1.
Lemma 3.2. Let N1 and N2 be the networks defined above (see Figure 1). Then one has
H(N1)<H(N2). |
Proof. Based on N1, we construct a new network, say N2, which is obtained from N1 by deleting all the links between X∖XM and YM, and adding all the links between X∖XM and XM, see Figure 1. It is routine to check that N2∈Mn,t with N≆N2≅Kt,n−t.
Let |X∖XM|=m1, |Y∖YM|=m2 suppose m2⩾m1⩾t. We partition VN1=VN2 into XM∪YM∪(X∖XM)∪(Y∖YM) as shown in Figure 1. For the sake of simplicity, assume that, for all a∈Y∖YM, b∈XM, c∈YM and d∈X∖XM, then one has
DN1(a)=∑b∈XM1dN1(a,b)+∑c∈YM1dN1(a,c)+∑d∈X∖XM1dN1(a,d)+∑ˉa∈Y∖YM1dN1(a,ˉa)=t+t2+m13+m2−12,DN1(b)=∑a∈Y∖YM1dN1(b,a)+∑c∈YM1dN1(b,c)+∑d∈X∖XM1dN1(b,d)+∑ˉb∈XM1dN1(b,ˉb)=m2+t+m12+t−12,DN1(c)=∑a∈Y∖YM1dN1(c,a)+∑b∈XM1dN1(c,b)+∑d∈X∖XM1dN1(c,d)+∑ˉc∈YM1dN1(c,ˉc)=m22+t+m1+t−12,DN1(d)=∑a∈Y∖YM1dN1(d,a)+∑b∈XM1dN1(d,b)+∑c∈YM1dN1(d,c)+∑ˉd∈X∖XM1dN1(d,ˉd)=m23+t2+t+m1−12,DN2(a)=∑b∈XM1dN2(a,b)+∑c∈YM1dN2(a,c)+∑d∈X∖XM1dN2(a,d)+∑ˉa∈Y∖YM1dN2(a,ˉa)=t+t2+m12+m2−12,DN2(b)=∑a∈Y∖YM1dN2(b,a)+∑c∈YM1dN2(b,c)+∑d∈X∖XM1dN2(b,d)+∑ˉb∈XM1dN2(b,ˉb)=m2+t+m1+t−12,DN2(c)=∑a∈Y∖YM1dN2(c,a)+∑b∈XM1dN2(c,b)+∑d∈X∖XM1dN2(c,d)+∑ˉc∈YM1dN2(c,ˉc)=m22+t+m12+t−12,DN2(d)=∑a∈Y∖YM1dN2(d,a)+∑b∈XM1dN2(d,b)+∑c∈YM1dN2(d,c)+∑ˉd∈X∖XM1dN2(d,ˉd)=m22+t+t2+m1−12⋅ |
This gives
H(N1)−H(N2)=12(∑u∈VN1DN1(u)−∑u∈VN2DN2(u))=12(∑a∈Y∖YMDN1(a)−∑a∈Y∖YMDN2(a)+∑b∈XMDN1(b)−∑b∈XMDN2(b)+∑c∈YMDN1(c)−∑c∈YMDN2(c)+∑d∈X∖XMDN1(d)−∑d∈X∖XMDN2(d))=12(m2(m13−m12)+t(m12−m1)+t(m1−m12)+m1(m23−m22))=12(m2(m13−m12)+m1(m23−m22))=−m1m26<0. |
Hence, we obtain that H(N2)>H(N1).
Lemma 3.3. Let N be a connected bipartite network with VN=(X,Y) with |X|=m1⩾|Y|=m2.
1. If m1=1, then H(N)=1. Hence, and N=K2.
2. If m1>1 and m2=1, then H(N)=14(m21+3m1) and N is just the network K1,m1.
3. If m2>1, then H(N)⩽14[m2(2m1+m2−1)+m1(2m2+m1−1)] with equality if and only if N≅Km1,m2.
Hence, due to Lemma 3.3, the considered bipartite network is of order n>2.
Theorem 3.1. Let N∈Mn,t, then H(N)⩽14(n2−2t2+2nt−n). The equality holds if and only if N≅Kt,n−t.
Proof. It is obvious to obtain that
H(Kt,n−t)=14(n2−2t2+2nt−n). |
Hence, we only need to show that among Mn,t with maximum H-index is a unique network Kt,n−t.
Choose N, in Mn,t such that its H-index is maximum. For t=⌊n2⌋, due to Lemma 2.1 the extremal network is just K⌊n2⌋,⌈n2⌉ as desired. Therefore, we only consider the case t<⌊n2⌋.
Without loss of generality, assume that the bipartition node set of N is denoted by (X,Y), such that |Y|⩾|X|⩾t. Let M be a maximal matching of N, then due to Lemma 2.1, the addition of new link(s) increases the H-index of a network. In what follows, if |X|=t, then the extremal network is N=Kt,n−t. Hence, we consider the case |X|>t.
Assume that M is a matching set and XM(resp. YM) be the set of nodes of X(resp. Y) which are incident to the links of M. Therefore, |XM|=|YM|=t. Keeping in mind that N does not contains links between the nodes of X∖XM and the nodes of Y∖YM. Otherwise, any such link together with M producing a matching of cardinality greater than that of M, which is a contradiction to the maximality of M.
By Lemma 3.1 adding all possible links between the nodes of XM and YM, XM and Y∖YM, X∖XM and YM we get a network N1 as depicted in Figure 1. Together with Lemma 2.1 we have H(N1)>H(N). Note that the matching number of N1 is at least t+1. Hence, N1∉Mn,t and N≆N1. Based on N1, we construct a new network, say N2, which is obtained from N1 by deleting all the links between X∖XM and YM, and adding all the links between X∖XM and XM, see Figure 1. It is routine to check that N2≅Kt,n−t. By Lemma 3.2, H(N2)>H(N1). Hence, we obtained our desire result.
Remark 3.1. The maximum cardinalities of all node (resp. link) independent set is called node (resp. link) independence number of N, and is denoted by γ(N) (resp. γ′(N)). The minimum cardinalities of all node (link) covers are said to be a node (resp. link) cover number of N, and is denoted by η(N) (resp. η′(N)).
Together Lemma 2.3, and Remark 3.1 with Theorem 3.1 the following useful result is obvious.
Corollary 3.1. The network Kσ,n−σ is a unique network having maximum H-index, among all connected bipartite networks of order n with node cover number or node independence number or link cover number σ.
In this section, we characterize the networks in Bn,d attaining the maximum H-index. Without loss of generality, assume that P=v0v1…vd is a diametric path in Bn,d. Thereby, any N=(VN,EN) in Bn,d, there is a partition R0,R1,…Rd of VN with d(v0,v)=i such that v∈Ri(i=0,1,2,…,d). Thus, we assume Ri a distance layer of VN, and Ri, Rj of VN are adjacent if |i−j|=1. Suppose that |Ri|=li throughout this section.
For d⩾3, if d is odd, then assume Q(n,d):=[d−12]K1+⌊n−d−12⌋K1+⌈n−d+12⌉K1+[d−12]K1.
For d⩾4, if d is even, then assume ˆQ(n,d):={Q(n,d)=[d2−1]K1+a1K1+⌊n−d+22⌋K1+a2K1+[d2−1]K1:a1+a2=⌈n−d+22⌉}. The following is our main result of this section.
Theorem 4.1. Let N be a network in Bn,d with the maximum H-index.
1. If d=2, then N≅K⌊n2⌋,⌈n2⌉.
2. If d⩾3, then N≅Q(n,d) for odd d, and N is an arbitrary network in Q(n,d) otherwise.
Proof. Choose a network N in Bn,d which maximizes the H-index.
(i) In view of Lemma 2.1, we have N≅Kn−q,q for d=2, where q,n−q⩾2. Assume |X|=n−q and |Y|=q, then it is routine to check that, for all x (resp. y) in X (resp. Y), one has
DN(x)=q+12(n−q−1)=12(n+q−1), DN(y)=(n−q)+12(q−1)=n−12q−12. This gives
H(Kn−q,q)=12(∑x∈XDN(x)+∑y∈YDN(y))=12(12(n−q)(n+q−1)+q(n−12q−12))=14(n2−2q2−n+2nq). |
If n is odd, then H(Kn−q,q)⩽18(3n2−2n−1) with equality if and only if q=n−12, or q=n+12, i.e., N≅Kn+12,n−12; and if n is even, then H(Kn−q,q)⩽18n(3n−2) with equality if and only if q=n2 i.e., N≅Kn2,n2 as desired.
(ii) In order to prove this part, we use the following structural properties.
Proposition 4.1. N[Ri]≅|Ri|K1, i.e., the induced subnetwork N[Ri] contains no link for i=1,2,…,d, and |Rd|=1 for d⩾3.
Proof of Property 4.1. By a contradiction, we assume that there exist two nodes z+,z− in some Ri such that z+z−∈EN[Ri]⊆EN. Since both z+ and z− are in Ri, there exists two distinct paths, we say U1 and U2, such that U1 (resp. U2) connects the nodes z0,z+ (resp. z0,z−). Clearly, the paths U1∪U2∪z+z− contains an odd cycle in N. In fact, if U1 and U2 contain no common internal node, then U1∪U2+z+z− is an odd cycle. Otherwise, suppose that w0 is the last common internal node of U1,U2, then U1(w0,z+)∪U2(w0,z−)+z+z− is an odd cycle. This is impossible since N is bipartite.
In what follows we prove the second part. In fact, if |Rd|≥2, then we may choose r∈Rd∖{xd} and put ˘N=N+{rz+:z+∈Rd−3}. It is easy to check that ˘N∈Bn,d with its node partition
R0∪R1∪R2∪…∪Rd−3∪(Rd−2∪{r})∪Rd−1∪(Rd∖{r}). |
In view of Lemma 2.1, one obtains ξee(˘N)>ξee(N), which contradicts to the choice of N. Thus, |Rd|=1.
Proposition 4.2. N[Rj−1∪Rj]≅K|Rj−1|,|Rj|, i.e., N[Rj−1∪Rj] induces a complete bipartite network for each j=1,2,…,d.
Proof of Property 4.2. Without loss of generality, assume that N[Rj−1∪Rj] is not a complete bipartite network for some j. By Property 4.1, we get N[Rj−1]≅|Rj−1|K1 and N[Rj]≅|Rj|K1. Thus, there exists vi in Rj−1 and vj in Rj, such that vi,vj are not adjacent. Construct N′=N+vivj. Obviously, N′∈Bn,d and we have H(N′)>H(N) by Lemma 2.1. Hence, this contradicts to the choice of N, so we get our desired result.
Bear in mind the same notations as above, we have the following structural property.
Proposition 4.3. For d≥3, each of the following holds.
1. For odd d, we have
|R0|=|R1|=|R2|=⋯=|Rd−32|=|Rd+32|=⋯=|Rd−1|=|Rd|=1,and ||Rd−12|−|Rd+12||⩽1. | (4.1) |
2. For even d, one has
|R0|=|R1|=|R2|=⋯=|Rd2−2|=|Rd2+2|=⋯=|Rd−1|=|Rd|=1,and ||Rd2−1|+|Rd2+1|−|Rd2||⩽1. | (4.2) |
Proof of Property 4.3. (i) Note that |R0|=|Rd|=1, here we only show that |R1|=1 holds. Similarly, we can show that |R2|=⋯=|Rd−32|=|Rd+32|=⋯=|Rd−1|=1. We omit the procedure here.
If d=3, then the result is obvious. In what follows, we consider that d⩾5. If |R1|⩾2, then choose u∈R1 and let N′=N−u0v+{ux:x∈R4}. In fact, the node partition of N′ is R0∪(R1∖{u})∪R2∪(R3∪{u})∪R4∪…∪Rd; in view of Property 4.1 and the choice of N, any two of adjacent blocks of RN′ induce a complete bipartite subnetwork and |Rd|=1 for d⩾5. Note that, DN(u)=DN′(u)+23−d∑i=42li(i−1)(i−3), DN(v)=DN′(v)+23 for all v∈R0, DN(v)=DN′(v) for all v∈(R1∖{u})∪R2∪R3, DN(v)=DN′(v)−2(i−1)(i−3) for all v∈R4∪R5∪…∪Rd.
H(N)−H(N′)=12(∑v∈VNDN(v)−∑v∈VN′DN′(v))=12[∑v∈R0(DN(v)−DN′(v))+(DN(u)−DN′(u))+d∑j=4∑v∈Rj(DN(v)−DN′(v))]=12(23+d∑j=4−2li(i−1)(i−3)+d∑j=4−2li(i−1)(i−3)+23)=12(43−4d∑j=4li(i−1)(i−3))=−2(d∑j=4li(i−1)(i−3)−13)=−2(l4(4−1)(4−3)+d∑j=5li(i−1)(i−3)−13)<0. |
The last inequality follows that l4>0 and d∑j=5li(i−1)(i−3)>0. i.e H(N′)>H(N), a contradiction to the choice of N. Hence, |R1|=1.
Next we show that if d is odd, then ||Rd−12|−|Rd−12+1||⩽1. Without loss of generality, we assume that |Rd−12|⩾|Rd−12+1|. Then it suffices to show that |Rd−12|−|Rd−12+1|⩽1. If this is not true, then |Rd−12|−|Rd−12+1|⩾2. Choose w∈Rd−12, let N′=N−{wx:x∈Rd−32∪Rd+12}+{wy:y∈Rd−12∪Rd+32}.
Then the node partition of N′ is R0∪R1…∪Rd−32∪(Rd−12∖{w})∪(Rd+12∪{u})∪Rd+32∪…∪Rd and each of the two adjacent blocks of RN′ induces a complete bipartite network. By direct calculation, we have
H(N′)−H(N)=((|Rd−12|−1)+12|Rd+12|)−(12(|Rd−12|−1)+|Rd+12|)=12(|Rd−12|−|Rd+12|−1)>0, |
a contradiction to the choice of N. This completes the proof of Property 4.3(i).
Together Property 4.1 and Property 4.2 with (4.1), we obtain that N≅Q(n,d).
(ii) By the same discussion as the proof of the first part of (i) as above, we can show that |R0|=|R1|=|R2|=⋯=|Rd2−2|=|Rd2+2|=⋯=|Rd−1|=|Rd|=1, we omit the procedure here.
Next we show that if d is even, then ||Rd2|−(|Rd2−1|+|Rd2+1|)|⩽1. Without loss of generality, we assume that |Rd2|<|Rd2−1|+|Rd2+1|. Then it suffices to show that |Rd2+1|+|Rd2−1|−|Rd2|⩽1. If this is not true, then |Rd2+1|+|Rd2−1|−|Rd2|⩾2. It is routine to check that at least one of Rd2−1 and Rd2+1 contains at least two nodes. Hence, we assume without loss of generality that |Rd2−1|⩾2. Choose w∈Rd2−1 and let
N∗=N−{wx:x∈Rd2−2∪Rd2}+{wy:y∈Rd2−1∪Rd2+1}. |
Then the node partition of N∗ is R0∪R1…∪(Rd2−1∖{w})∪(Rd2∪{w})∪Rd2+1∪…∪Rd and each of the two adjacent blocks of RN∗ induces a complete bipartite network. By direct calculation, we have
H(N∗)−H(N)=((|Rd2−1|−1)+12|Rd2|+|Rd2+1|)−(12(|Rd2−1|−1)+|Rd2|+12|Rd2+1|)=12(|Rd2−1|+|Rd2+1|−(|Rd2|+1))⩾12(1)>0, |
a contradiction to the choice of N. This completes the proof of Property 4.3(ii).
For even d, by Property 4.1 and Property 4.3(ii), we obtain that |R0|=|R1|=|R2|=⋯=|Rd2−2|=|Rd2+2|=⋯=|Rd−1|=|Rd|=1,and ||Rd2−1|+|Rd2+1|−|Rd2||⩽1, and it is easy to check that if N,N∗∈ˆQ(n,d), then H(N)=H(N∗), which implies that N≅Q(n,d)∈ˆQ(n,d), as desired.
In this contribution, we determined the unique bipartite network with maximum H-index among all bipartite networks with given matching number, independence number, cover of a network and diameter.
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant No. RG-12-135-41. The authors, therefore, gratefully acknowledge DSR technical and financial support.
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