What is the Name for a Graph with Loops That Join a Vertex to Nothing?

In summary, a semigraph is a graph that allows for loops, but for loops, instead of joining a vertex to itself, it joins a vertex to nothing.
  • #1
Bingk1
16
0
Hello,

Just wondering if any of you have encountered a term for a particular type of graph. It is like a graph that allows for loops, but for loops, instead of joining a vertex to itself, it joins a vertex to nothing. I just want to be consistent with existing terminology, if there are none, maybe you could make some recommendations (i.e. what not to use)

The idea is this, I'm looking at properties of a simple graph, in particular, edges that are connected to vertices of the same degree. So, I don't really care about any other vertices or edges, except that in the end, I'm still talking about a simple graph.
Essentially, what I'm looking at is a set of vertices, all of which have the same degree, and edges that are incident to those vertices. So, if two of those vertices are joined by an edge, there is no problem. But, I may have edges that are incident to only one vertex (as the other end of those edges may be connected to vertices that are not yet specified).

As of now, I'm calling such graphs semigraphs. A quick search didn't show that it was being used. Someone suggested calling it a pseudograph, and in the literal sense (i.e. pseudo as a prefix), I feel it is more appropriate, but unfortunately, it seems that pseudograph is sometimes used to mean multigraphs.

Hope someone can help. Thanks!
 
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  • #2
Bingk said:
Hello,

Just wondering if any of you have encountered a term for a particular type of graph. It is like a graph that allows for loops, but for loops, instead of joining a vertex to itself, it joins a vertex to nothing. I just want to be consistent with existing terminology, if there are none, maybe you could make some recommendations (i.e. what not to use)

The idea is this, I'm looking at properties of a simple graph, in particular, edges that are connected to vertices of the same degree. So, I don't really care about any other vertices or edges, except that in the end, I'm still talking about a simple graph.
Essentially, what I'm looking at is a set of vertices, all of which have the same degree, and edges that are incident to those vertices. So, if two of those vertices are joined by an edge, there is no problem. But, I may have edges that are incident to only one vertex (as the other end of those edges may be connected to vertices that are not yet specified).

As of now, I'm calling such graphs semigraphs. A quick search didn't show that it was being used. Someone suggested calling it a pseudograph, and in the literal sense (i.e. pseudo as a prefix), I feel it is more appropriate, but unfortunately, it seems that pseudograph is sometimes used to mean multigraphs.

Hope someone can help. Thanks!

I don't think it matters that much if the name is already used, unless it is used commonly by everyone (and I've never heard the term "pseudograph" applied to multigraphs).

That said if you are looking for a unique name, how about "fractional graph", emphasising that your graph is not yet complete (integral) and is missing vertices which haven't been defined yet, hence the "floating edges". Don't know if it makes any sense but at least it's not a common appellation :confused:
 
  • #3
Bacterius said:
I don't think it matters that much if the name is already used, unless it is used commonly by everyone (and I've never heard the term "pseudograph" applied to multigraphs).

That said if you are looking for a unique name, how about "fractional graph", emphasising that your graph is not yet complete (integral) and is missing vertices which haven't been defined yet, hence the "floating edges". Don't know if it makes any sense but at least it's not a common appellation :confused:

Makes sense, will consider fractional graph also. As for pseudograph being used for multigraphs, actually, I had never heard of pseudographs until this naming issue came up. It seems like because there are variations in the definition of a multigraph (i.e. allowing for loops or not), pseudograph is being promoted as the word to use when you allow for both loops and multiple edges.

Thinking along the lines of hypergraphs, I came up with 2 more possibilities, "1,2-uniform hypergraph" or "hypograph".
 
  • #4
Or you could call it a "half-graph". Then your name rhymes with itself. ;)
 
  • #5
Thanks!

I'll give it a few more days, but from what I've read so far, it seems like there's no official name for the type of graph I'm concerned with...maybe we can put up a vote for it, hehehe.
 

FAQ: What is the Name for a Graph with Loops That Join a Vertex to Nothing?

What is graph theory?

Graph theory is a branch of mathematics that deals with the study of graphs, which are mathematical structures used to represent relationships between objects. It involves the analysis and interpretation of these graphs to solve problems in a wide range of fields such as computer science, engineering, and social sciences.

What are the basic components of a graph?

The basic components of a graph are vertices (also known as nodes) and edges. Vertices are the points or objects represented in the graph, while edges are the lines connecting these vertices.

What is the difference between directed and undirected graphs?

In a directed graph, the edges have a specific direction, meaning that they can only be traversed in one direction. In an undirected graph, the edges have no specific direction, allowing for bi-directional traversal.

What is the degree of a vertex in a graph?

The degree of a vertex in a graph is the number of edges connected to that vertex. In an undirected graph, the degree is simply the number of adjacent vertices, while in a directed graph, it is the sum of both incoming and outgoing edges.

What are some common applications of graph theory?

Graph theory has numerous applications in various fields, such as computer networking, data analysis, social networks, and logistics. It is used to model and analyze complex systems, optimize routing and transportation, and identify patterns and relationships within data.

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