Add to ORKGFor measuring the complexity of a graph, an information-theoretic quantity, that is, entropy functio...
The entropy of a digraph is a fundamental measure that relates network coding, information theory, a...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...
This paper presents a taxonomy and overview of approaches to the measurement of graph and network co...
A common practice in the estimation of the complexity of objects, in particular of graphs, is to rel...
One of the most popular methods of estimating the complexity of networks is to measure the entropy o...
Information-theoretic-based measures have been useful in quantifying network complexity. Here we bri...
This paper explores relationships between classical and parametric measures of graph (or network) co...
We study complexity and information and introduce the idea that while complexity is relative to a g...
In last lecture we have seen an use of entropy to give a tight upper bound in number of triangles in...
Part 1: Cross-Domain Conference and Workshop on Multidisciplinary Research and Practice for Informat...
Both entropy and complexity are central concepts for the understanding and development of Informatio...
The degree-based network entropy which is inspired by Shannon’s entropy concept becomes the informat...
This paper demonstrates properties of Hosoya entropy, a quantitative measure of graph complexity bas...
AbstractWe study complexity and information and introduce the idea that while complexity is relative...
For measuring the complexity of a graph, an information-theoretic quantity, that is, entropy functio...
The entropy of a digraph is a fundamental measure that relates network coding, information theory, a...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...
This paper presents a taxonomy and overview of approaches to the measurement of graph and network co...
A common practice in the estimation of the complexity of objects, in particular of graphs, is to rel...
One of the most popular methods of estimating the complexity of networks is to measure the entropy o...
Information-theoretic-based measures have been useful in quantifying network complexity. Here we bri...
This paper explores relationships between classical and parametric measures of graph (or network) co...
We study complexity and information and introduce the idea that while complexity is relative to a g...
In last lecture we have seen an use of entropy to give a tight upper bound in number of triangles in...
Part 1: Cross-Domain Conference and Workshop on Multidisciplinary Research and Practice for Informat...
Both entropy and complexity are central concepts for the understanding and development of Informatio...
The degree-based network entropy which is inspired by Shannon’s entropy concept becomes the informat...
This paper demonstrates properties of Hosoya entropy, a quantitative measure of graph complexity bas...
AbstractWe study complexity and information and introduce the idea that while complexity is relative...
For measuring the complexity of a graph, an information-theoretic quantity, that is, entropy functio...
The entropy of a digraph is a fundamental measure that relates network coding, information theory, a...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...