1. Introduction
Graph theory with its systematic structure is applied to different complicated problems such as physical, biological, and social systems. By employing graph theory, social network structures can be modeled and analyzed to provide simplified knowledge of such systems, where nodes (vertices) are users and lines (edges) are the links among users. Graph theory was first proposed by Euler to solve Konigsberg’s seven-bridge problem [
1]. After that, he established a novel graph structure called an Eulerian graph [
2]. The concepts of a complete graph [
3] and a bipartite graph was defined along with tree structure and coloring problems [
4]. With the integration of graph theory and fuzzy set theory, the notion of fuzzy graph theory was proposed by Kaufmann. Then, this theory was developed by Rosenfeld, where fuzzy relations on fuzzy sets were introduced to improve graph-theoretic concepts (e.g., bridges and trees) [
5]. To eliminate new problems in science, especially combinatorics, hypergraph theory was initiated and formulated by Berge [
6] as the generalization of graph theory, where the edges are arbitrary subsets of the vertices to effectively analyze and simplify complex relations in various spectra for real-world problems [
7].
Algebraic hypercompositional structure theory, with its dynamic multi-valued systems, is enumerated as the extension of a classical algebraic structure. Marty introduced a hyperoperation (hypercomposition) on a nonvoid set
which is a map from
to the power set
of
such that with associative property and reproductivity,
H would be hypergroup [
8]. Then, the hypercompositional structure theory was improved in terms of theory and applications by Corsini et al. [
9]. Freni determined a novel characterization of the derived hypergroup via strongly regular equivalence relation
on a hypergroup
and a binary operation on the quotient set
so that
is a group with relation
as a fundamental relation (
is the transitive closure of
and
is the fundamental group) [
10,
11]. Indeed, a fundamental relation is a powerful gadget for the derivation of universal algebra (group, ring, module, etc.) on algebraic hypercompositional structures as well as fuzzy algebraic hypercompositional structures. The present authors studied and formulated the fundamental relations on the fuzzy hypergroup, fuzzy hyperring, and fuzzy hypermodule, where their fundamental relations have the smallest equivalence relation resulting in their quotients being a group, ring, and module, respectively, [
12,
13,
14]. In other studies, they appointed the fundamental functor between the category of fuzzy hyperrings (hypermodules) and the category of rings (modules) [
15,
16].
The relevance between graphs/hypergraphs and hypergroups has been investigated by many scholars such as Corsini [
17] and Leoreanu [
18]. Farshi et al. studied hypergroups associated with hypergraphs and established a
-hypergroup with a given hypergraph by describing a relation
which resulted in the fundamental relation of an
-hypergroup [
19]. Kalampakas et al. surveyed path hypergroupoids, especially commutativity and graph connectivity, along with the directed graph isomorphism classes of
C-hypergroupoids [
20]. Nikkhah et al. developed hypergroups constructed from hypergraphs using a hyperoperation upon the set of vertice degrees of a hypergraph, where the established hypergroupoid is
-group [
21]. Recently, the present authors proposed a Caley graph related to a semihypergroup (hypergroup) with some important features including the category of Cayley graphs and a functor with an application in social networks [
22].
With dynamic and potential applications of graph theory in various fields of science, i.e., computer science, linguistics, physics, chemistry, social sciences, biology, mathematics, bioinformatics, etc., many studies have been conducted [
23]. For example, Savinkov et al. analyzed and modeled human lymphatic systems via graph theory [
24]. The systematic converter derivation/modeling and advanced control in an emerging/challenging power electronics converter was simulated by graph theory as a powerful mathematical structure [
25]. Park et al. indicated important insights from complex travel mobility networks with graph-based spatiotemporal analytics [
26]. In another work, an effective transductive learning technique was proposed by employing variational nonlocal graph theory for hyperspectral image classification [
27]. Recently, the authors presented a soft hypergraph as the generalization of graph theory with the pragmatic application for modeling global interactions in social media networks [
28].
The COVID-19 (coronavirus disease 2019) pandemic is considered the most fatal global health catastrophe to date with its serious negative and destructive impact on human life, i.e., social, economical, and environmental challenges. After its detection, the virus extended globally and caused innumerable death. At present, there is no definitive treatment of clinical antiviral drugs or vaccines against the virus [
29]. Almost whole nations attempted to decline the transition of the disease via examination and treating patients, quarantining suspected persons through contact tracing, limiting large gatherings, maintaining complete or partial lockdowns, etc. The impact of COVID-19 on various societies and useful ways for controlling viral disease were investigated in [
30].
The principal objective of this study is to establish a novel framework of a graph called SBG using a specific relation of algebraic hypercompositional structures in the context of social systems, i.e., the spread trend of the coronavirus disease among societies and individuals. After the Introduction and the Preliminary sections, in
Section 3, we appoint a neoteric graph
by applying a fundamental relation
on a semihypergroup
The elements of
H are vertices and two vertices
x and
y are adjacent if
that is, they are considered edges. The connectivity SBG of
G is defined as
where the connected components of
G are precisely the elements of the fundamental group
Certain fundamental properties of graph theory such as complete, regular, Eulerian, isomorphism, and Cartesian products are proposed. In addition, elucidatory examples are applied to demonstrate the relationship between semihypergroup (hypergroup)
H and its associated graph. The mathematical notions of geometric space, block, polygonal, and connected components are discussed. In the end, in
Section 4, the developed SBG is utilized to model the global outbreak of COVID-
n in social systems (i.e., individuals as well as countries) (
Figure 1).
2. Preliminaries
Definition 1. A hypergroupoid is a nonvoid set L with a hyperoperation which is a map where implies the family of all nonvoid subsets of L [9]. Denote as the hyperproduct of c and d for every A hypergroupoid is described as a semihypergroup if L has associative property, i.e., for all A hypergroup is a semihypergroup along with reproductivity axiom, that is for all A hypergroupoid is called quasihypergroup if the reproductivity property holds. The hypergroup is commutative if for all A nonvoid subset M of a hypergroup L is a subhypergroup of L if for every Assume E and F are nonvoid subsets of hence Moreover, and we have If associativity holds, then we denote the hyperproduct of elements of L by .
Suppose that and are two hypergroups. A map is determined as a homomorphism if for all Furthermore, ψ is named an isomorphism if it is one to one and onto homomorphism written by
The following Definition 2, Proposition 1, Theorem 1, Proposition 2, and Theorem 2 are taken from [
31].
Definition 2. Assume that L is a nonvoid set and σ is a binary relation on Consider the following hypercomposition “∘” on L as: is a hypergroupoid provided there exists so that and for every couple of elements
Denote the hypercompositional structure in Equation (1) by The reproductivity property in is satisfied if and only if for all Proposition 1. - •
is a quasihypergroup if and only if for all
- •
is a semihypergroup if and only if for all
Theorem 1. Let σ be a binary relation on the nonvoid set Then, the hypercomposition satisfies the reproductivity or associativity only when is total (i.e., ).
Each relation
on finite set
can be represented through a Boolean matrix
with
elements. The Boolean matrix
is defined as follows:
In Boolean algebra, we have
is hypergroupoid if and only if
where
with
for all
Proposition 2. - •
is a quasihypergroup if and only if
- •
is a semihypergroup if and only if
Theorem 2. The only relation σ which results in a quasihypergroup or semihypergroup is the one with Additionally, is the total hypergroup.
It was revealed that with a few lines of the Mathematica program, the results were constructed for the enumeration of the hypergroupoid associated with binary relations of orders 2, 3, 4, and 5 by a significantly simpler procedure [
31].
Definition 3. A graph G is a pair where V is a set of elements described as vertices and E is a set of edges [32]. The two vertices associated with an edge are called endpoints. If x = y, then the edge is considered as a loop. A vertex is isolated if it is incident with no edges. The graph G is simple if it has no loops and no two distinct edges have the same pair of ends. The graph G is called null graph when its edges set is empty. Graph H is named a subgraph of graph G if and the ends of an edge are the same as its ends in Denote as the degree of vertex x as well as the number of edges incident with A path in graph G consists of a sequence that the edges are distinct. Furthermore, if then, we call the path a cycle. Consider that is the length of the shortest path between two vertices x and Note that for all a and b that are vertices of which is called the diameter of graph The graph G is connected if there exists a path from vertex x to vertex or graph G includes several connected components. A tree is a connected graph that includes no simple cyclic path. Denote as a complete graph, where every pair of vertices is adjacent. An Eulerian circuit is a closed path through a graph applying each edge once and an Eulerian graph is a graph that has this property. Furthermore, graph G is called a Hamiltonian graph if it has a cycle that passes each vertex exactly once. If every vertex has the same degree, the graph is regular, or k-regular if
Theorem 3. A finite graph G without isolated vertices is Eulerian if and only if G is connected and each vertex has an even degree [32]. Definition 4. The Cartesian product of two graphs and is denoted by that is a graph with vertices set where vertices are adjacent if and only if or for [33]. 3. Semihypergroup-Based Graph (SBG) Based on Relation γ
Consider an SBG of where is a semihypergroup and is the relation on The order of G is The elements of H are represented as vertices and the relations are appointed as edges. We assign x and y to be adjacent, if Clearly, for and the edge is a loop.
Indeed,
was determined in [
10] as follows:
Consider Clearly, the relations have symmetric property and relation has a reflexive and symmetric property for every where Let be the transitive closure of The class of was addressed as for It was proven that for hypergroup the relation is transitive and has the smallest strongly regular equivalence property that results is an Abelian group (fundamental group).
Theorem 4. Assume that H is a hypergroup. Then, for an SBG of the following statements hold:
- (i)
A path exists between two vertices x and y of G if and only if
- (ii)
The SBG of G is connected if and only if the fundamental group is a singleton, that is
Proof. Proof of (i): Consider a path from vertex x to vertex Then, there exists a sequence so that that is equal to Conversely, if then such that Therefore, there exists a path from vertex x to vertex
Proof of (ii): By applying (i), for a path exists from vertex x to vertex y if and only if Therefore, the SBG of G is a connected graph if and only if (i.e., clearly, Furthermore, for all since then ). Since we have which means that the fundamental group is a singleton, i.e., □
Theorem 5. The connected components SBG of G are precisely the elements of the fundamental group
Proof. Let be two vertices SBG of By employing Theorem 4, vertex x is connected to vertex y if and only if Then, for all every element of is connected. With the equivalence relation of the elements of would be the connected components SBG of □
Theorem 6. Let H be a semihypergroup. If the SBG of is complete, then the relation γ is transitive.
Proof. Let and For some we have and Since the SBG of G is complete, therefore, for some we have that yields □
Remark 1. Note that a loop is not considered an edge. If then for every we have and Hence,
Definition 5. Let H be a nonvoid set and let be the defined relation in Equation (2). Consider the hypercomposition “⊙” on H as follows: We denote the hypercompositional structure by The is a hypergroupoid if so that and for every Since is transitive, we have for all then the reproductivity property holds. In fact, for the arbitrary element the reproductivity axiom holds for all as per the transitive property of
Proposition 3. - (i)
is a semihypergroup if and only if for all
- (ii)
is a quasihypergroup if and only if for all
- (iii)
The SBG of is a connected graph if and only if for all
- (iv)
The SBG of is a complete graph if and only if is total, i.e., for all
Proof. Proof of (i): It is derived by applying Proposition 1.
Proof of (ii): With the validity of the reproductivity property, the statement is proven.
Proof of (iii): Since is a quasihypergroup and considering part (i), we have as a hypergroup. By Theorem 4, we have for all if and only if the SBG of G is connected.
Proof of (iv): The statement is attained from Equation (
3). □
Example 1. Consider as a semihypergroup that is given in Table 1. It is seen that then Furthermore, we have and The corresponding SBG of G is depicted in Figure 2. Moreover, and γ is transitive and the SBG of G is not connected, because vertices 0 and 1 are not adjacent. The SBG of G is not complete, which results in the invalidity of the reverse Theorem 6.
Corollary 1. Let be an SBG, and let H be a semihypergroup. If the SBG of G is complete, then is a singleton, and
Proof. By applying Theorems 4 and 6, the relation is transitive and is a singleton. Since the SBG of G is complete, then every path from vertex x to vertex y has a maximum length of which means □
Proposition 4. Suppose that H is a hypergroup on the SBG of Then, the degree of vertex x in SBG of G is equal to .
Proof. Let H be a hypergroup. By employing Theorem 4 and as an equivalence class of x, the results show that the number of edges incident with vertex x is equal to . □
Corollary 2. Let be an SBG, and let H be a hypergroup. Assume that for all Then, the SBG of G is a k-regular graph.
Theorem 7. Let be a hypergroup on SBG of Let be a subhypergroup of on SBG of Then, the SBG of is a sub-SBG of
Proof. Assume that is a subhypergroup of then Therefore, the vertices SBG of is contained in the vertices SBG of and the edges is included in the edges of Then, the SBG of is a sub-SBG of □
Theorem 8. Let H be a hypergroup. The SBG of is Eulerian if and only if for all
Proof. Let
H be a hypergroup. Then, the relation
is transitive [
9]. By applying Theorem 4, the SBG of
G is a connected graph. Additionally, with Proposition 4,
for all
and by Theorem 3, the proof is completed. □
Example 2. Let be a hypergroup in [34] (Example 28 (3)). The corresponding SBG of G is shown in Figure 3, which is a connected and complete graph. Moreover, and Additionally, that means Furthermore, and the SBG of G is a 2-regular and Eulerian graph. Definition 6. The SBG of G is isomorphic to the SBG of if there exists a bijection ϕ from the set vertices of G to the set vertices of such that written by
Theorem 9. Let and be two isomorphic hypergroups and let and be two SBGs associated with and respectively. Then, the SBG of and the SBG of are isomorphisms.
Proof. Assume and are isomorphisms. Then, and we have . Furthermore, if vertex x is connected to vertex then and we have Let be an isomorphism and let and Furthermore, which yields that is connected to Hence, □
Example 3. To show that the reverse of Theorem 9 is not satisfied, consider two hypergroups and in [34] (Example 16 (3)). Let with Since and means that f is not an isomorphism The two SBGs are isomorphisms, as depicted in Figure 4. Definition 7. Let and be two SBGs, where H and are two hypergroups and and Define the Cartesian product with the vertices set and edges set for
Example 4. Consider two SBGs in Example 3. By considering and the Cartesian product of two SBGs G and is depicted in Figure 5. The vertices of are and the corresponding edges are Proposition 5. Let and be two SBGs and let Then, Geometric Concept of SBG
A
geometric space is a couple
where
S is a nonvoid set and
V is the family of a nonvoid subset of
The elements of
S are considered points and the elements of
V are represented as blocks. If
V covers
then a
polygonal of
is an
n-tuple of blocks
so that
for every
Introduce the relation ≈ on
S as follows:
If
V covers
then the relation is an equivalence relation. The equivalence class
is determined as a
connected component of
x in
S [
10,
11].
According to the SBG of
G, we consider a pair
as a
geometric space of SBG, where
H is a semihypergroup (set of vertices) and
E is the set of relations
(set of edges) for
on
For every
we have
with the given relation
as follows:
Take a polygonal SBG of
as
so that
(i.e.,
) for
By applying the polygonal concept of SBG, the relation ≈ is defined as follows:
The relation ≈ is an equivalence relation. The SBG of G is connected and the equivalence class where is a connected component by Theorem 4. Indeed, the connected components SBG of are equivalence classes modulo The geometric space is connected if it includes only one connected component, i.e., for Clearly, the relation ≈ is the transitive closure of the relation The blocks of the geometric space SBG of using relation are the constructed sets with permuting finite hyperproducts of distinct finite points (vertices).
4. SBG for Modeling the Spread Trend of COVID-
SBG can be utilized to model the spread trend of COVID-n by travelers in different countries and on a large scale, involved countries. In this pattern, the vertices represent individuals/countries and edges appoint the relationship among individuals/countries which are based on a fundamental relation.
4.1. Application 1
Let H be the number of individuals. Consider Then, the SBG of is determined in the following way:
Define a binary relation “∘” on
H as follows:
In
Table 2, the pair
is a hypergroup.
The following statements are attained from
Table 2:
Either Robert, Michael, or Emma infected Olivia with COVID.
Emma is the most infectious the person for the transmission of the coronavirus disease and all members get infected by Emma ().
Consider the relation
as edges for two arbitrary vertices
x and
y as:
Note that
is regarded as a hyperproduct of distinct elements
for
that is
We follow the procedure for all components, i.e.,
This means that
where,
are the edges of
. The corresponding SBG of
G is depicted in
Figure 6a and
Table 3.
Furthermore, the equivalence class of is considered as the individuals who transmit viral disease COVID to specific person that is where is the transitive closure of and Therefore, the class , and so on. By applying Proposition 4, the degree of Michael is and by Corollary 2, the SBG is 3-regular.
4.2. Application 2
Let H be a set of countries with the most reported cases and death in the world. Consider Thus, the SBG of is defined as follows
Introduce the hyperoperation “⊕” for all as follows:
The couple
is a hypergroupoid, as given in
Table 4.
Consider the relation
given below:
we continue the procedure for all elements of
according to
Table 4, that is
Therefore,
and the corresponding SBG of
G is demonstrated in
Figure 6b. By applying Proposition 4, the degree of each vertex is
and
G is complete, and 6-regular. It also has an Eulerian circuit because of connectivity and has an even degree of each vertex; therefore, graph
G is Eulerian. The SBG of
G is connected and Hamiltonian and the relation
is transitive.