Systemic States of Spreading Activation in Describing Associative Knowledge Networks: From Key Items to Relative Entropy Based Comparisons

Round 1

Reviewer 1 Report

1. It is necessary to clear some notions, which author uses in the article, for example: Systemic states, Associative knowledge networks, Diffusion-like propagator.
2. It is necessary to explain why we can model spreading activation by Diffusion-like propagator, based on graph Laplacian. Some words are necessary about graph Laplacian.
3. Equations (1)-(2) require comments. What are and ?
4. Simulation of systemic states by Tsallis-entropy requires comments.
5. What are the “q-generalized” states?
6. All notions and concepts in the article should be explained more clearly.
7. In Section 4 it is written “…the approach suggested here embodies the spreading activation view on networks and provides a quantification in terms of systemic states” but what profit does this approach lead to? What is the scientific novelty of this approach?

Conclusion

I think that the article can be accepted after minor revision.

Author Response

Responses to comments are in attached pdf-file,

please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

I’ve read this paper with interest. I think that the paper deserves publication after some minor improvements.

• Please, make the literature review more critical identifying any open research problems.
• Complement the first section, provide the scope of your paper i.e. what is provided in each section.
• Section 2 is very hard to follow. Provide a figure illustrating the main ideas. Go slowly step-by-step while explaining the principles of the network.
• Figure 1 is unreadable. In this form, it cannot be interpreted therefore it is useless for the reader.
• The same with Figure 2.
• It is still not clear what is the relationship between Section 1 and Section 2. You go too quickly from one description to another assuming wrongly that the reader knows everything that you know. Teach the reader gradually how the network works
• Each concept you use should be explained. Make your paper self-contained, don’t force the reader to search for the definition of concepts that are not very basic.
• The conclusions of your paper are not clear. Provide clearly, what you have achieved in your paper.

Author Response

Responses are in attached pdf-file, please see the attachment.

Author Response File: Author Response.pdf