Statistical mechanics of complex networks
Authors: Reka Albert, Albert-Laszlo Barabasi
Comments: 54 pages, submitted to Reviews of Modern Physics
Subj-class: Statistical Mechanics; Disordered Systems and Neural Networks; Mathematical Physics; Data Analysis, Statistics and Probability; Adaptation and Self-Organizing Systems; Networking and Internet Architecture
Journal-ref: Reviews of Modern Physics 74, 47 (2002)
This dissertations presents an algorithm on the webgraph for finding dense bipartite graphs wich represents web-communities.
By performing further steps of the algorithm several levels of communities are recognized which can be related to communites of former levels.
The web can be represented by a graph with special regions: SCC, IN, OUT and TENDRILS.
Regions are defined by the link-path-reach from one website to others.
The linkage to and from a website (in- and out-degree) seems to conform the power law, which is also mentioned in this document.
A pre-relational databases datamodel. "Preceeded" by the relational model since the flexibility of this makes it hard to work with. Now re-invented in RDF :)
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S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, and P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
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