I'm looking for a way to help them completely understand what I mean in a single-sentence.
Or, what is the most analogous thing that a lay-person thinks of when they grasp the concept.
Edges and vertices are confusing because people start thinking of shapes, and struggle to make the leap to edges being generic relationships.
The word "web" makes people think of a "spider web", but spider webs are too symmetrical and block people from seeing how webs can represent more things.
A tree is good to understand the constraints a tree places on a graph, but there is not any kind of meaning attached to the nodes in the physical tree.
I think its hard to unlearn such a basic concept and to think how best to convey it to a lay-person. Maybe someone has had some luck?
If you assume that people's social memory (or sense-of-friendship) is all-or-nothing, then you might say it's an undirected graph (so Alice won't know Bob unless Bob also knows Alice). That doesn't really account for celebrities, Alzheimer's, or parasocial relationships, but it's not a terrible approximation to most small-world social situations.
You can define lots of graph theory concepts this way, like distance (literally "degrees of separation" was first defined for a social graph!) and graph diameter (what's the actual highest possible score in a degrees-of-Kevin-Bacon game if you choose any two people rather than just Kevin Bacon?). You can also describe things like looking for islands (are two people indirectly connected at all, or not?) and how many separate pieces the graph can be partitioned into.
If you don't mind a more risqué example, some epidemiologists have tried to make graphs of sexual relationships in communities, in order to think about how sexually transmitted diseases could spread. This is also a somewhat natural concept and doesn't literally rely on people's memory (as people would, or would not, have been sex partners whether they remember this or not, according to some definition of sexual activity).
But I think the friendship graph would actually work well enough for getting the general idea across. You can also talk about how people want to study this in real life for things like marketing, propaganda, and public health topics!
You know how Facebook tracks your friends, and the friends they have, and friends and friends, well that kind of relationship can be called a 'graph'
Once you talk about that, I then try to get them thinking about things in a different way.. such as: Take this cup sitting on this table... we could say that in the same way that two friends are connected.. that the cup is also connected to the table.
Which means, the cup is two connections away from the floor!
That is a good real world example that people can get.. Then as you look around the room, look at how things are connected to what they touch...
It's possible to build a pretty cool graph that represents those connections just by following the paths you can see around the room.
Then you can talk about how that graph is one where things are linked by touch.. and what are other ways we could represent connections... for example, what would it look like to draw a graph of what object can SEE another object. How different that graph would be.It's enough to get ppl thinking differently and have a high level view of Graphs
So, focus on networks. If you're a graph theorist and need to talk to lay people, say that you research the underlying mathematics which combine computer networks and social networks into a single topic. You can then follow up by saying, "mathematicians also call this a graph, which has a specific formal definition, but for this conversation, let's just keep calling it a network, and we'll imagine every network can be represented as a bunch of dots connected by lines."
Most lay people are more interested in applications than formal definitions and theorems, so give them some interesting but intuitive problems which are investigated in network theory, like travelling salesman or "chinese postman."
Two sentences, but the second one is a segue to the more useful parts of graph theory if they are interested.
One way roads also exist, like in graphs.