Adjacency matrices and network visualisations

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The discussion revolves around matching adjacency matrices to their corresponding network types and describing their dynamics. The user initially suspects that matrices Ac, Bb, and Ca might be correct matches but is uncertain due to a lack of experience with visual representations. They describe the networks in terms of vertices representing system states and edges indicating proximity between states, considering types like regular, random, scale-free, and small world. The user proposes that network A is small world, while C could be random or scale-free, but seeks confirmation on these assumptions. Overall, the conversation highlights the challenge of interpreting adjacency matrices without prior visual examples or resources.
kcurse21
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Homework Statement
Question is to match the matrices with the networks and describe the dynamics of the network.
Relevant Equations
See provided picture.
I have this set of adjacency matrices and networks given to me and I need to match the matrix to the network and then describe the dynamics.

At first glance it seems to be Ac, Bb and Ca but I'm not sure if that's too obvious and I'm missing something as I haven't looked at visual representations of adjacency matrices before. Firstly, would I be correct in matching them?

Second, I need to briefly describe the dynamics of each network. For a short description of the networks: vertices correspond to the system state of a dynamical system, x(t), and edges exist if two dynamical states are close. I believe I need to choose from the following networks: regular, random, scale-free and small world.

My original guess was that a is small world and c is either random or scale free but I'm not sure. My second question is are these correct and what would b be?
 

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kcurse21 said:
At first glance it seems to be Ac, Bb and Ca but I'm not sure if that's too obvious and I'm missing something as I haven't looked at visual representations of adjacency matrices before. Firstly, would I be correct in matching them?
For what it's worth, that would be my guess as well. Adjacency matrices that I've seen before were for connected graphs with a relatively small number of vertices.
My reasoning is that A is pretty solid with points, and that seems to match c. B is the least filled in, which seems to me to match b. C is not as dense as A, and a seems to be the best match.
kcurse21 said:
Second, I need to briefly describe the dynamics of each network. For a short description of the networks: vertices correspond to the system state of a dynamical system, x(t), and edges exist if two dynamical states are close. I believe I need to choose from the following networks: regular, random, scale-free and small world.

My original guess was that a is small world and c is either random or scale free but I'm not sure. My second question is are these correct and what would b be?
No idea, as this network description stuff is new to me. Do you have any examples in your textbook or notes?
 
Mark44 said:
For what it's worth, that would be my guess as well. Adjacency matrices that I've seen before were for connected graphs with a relatively small number of vertices.
My reasoning is that A is pretty solid with points, and that seems to match c. B is the least filled in, which seems to me to match b. C is not as dense as A, and a seems to be the best match.
No idea, as this network description stuff is new to me. Do you have any examples in your textbook or notes?

Unfortunately I've looked through all my notes and worksheets and the only adjacency matrices I've done is with numbers, not visuals and the networks have all been in 2D and pretty simple. I don't have at textbook at all. I'll see if I can find some information on the types of networks and post it as well.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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