Counting Graphs with a Given Degree Sequence: An Information-theoretic Perspective

2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)(2019)

引用 1|浏览1
暂无评分
摘要
We revisit the problem of counting the number of directed graphs with a specified degree sequence, which was recently studied and solved by Barvinok using generating functions and convex duality techniques. We describe a systematic information-theoretic approach to this type of problems, based on studying invariant distributions and establishing suitable continuity and concentration properties. Our techniques recover and shed further light on Barvinok's solution, and may be applicable in other similar problems. As a simple example, we also apply our approach to estimating the number of undirected graphs with a given degree sequence. In particular, we show this number is approximately given by the square root of the number of associated directed graphs, whose input and output degree sequences are equal to that of the undirected graph.
更多
查看译文
关键词
degree sequence,Barvinok solution,output degree sequences,associated directed graphs,undirected graph,techniques recover,concentration properties,establishing suitable continuity,invariant distributions,systematic information-theoretic approach,convex duality techniques,generating functions,specified degree sequence,information-theoretic perspective
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要