Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The ability to detect change-points in a dynamic network or a time series of graphs is an increasingly important task in many applications of the emerging discipline of graph signal processing.  formulates change-point detection as a hypothesis testing problem in terms of Stochastic Block Model time series.  analyze two classes of scan statistics, based on distinct underlying locality statistics presented in the literature. Our main contribution is the derivation of the limiting distributions and por characteristics of the competing scan statistics. Performance is compared theoretically, on synthetic data, and on the Enron email corpus.  demonstrate that both statistics are admissible in one simple setting, while one of the statistics is inadmissible in a second setting.
['Heng Wang', 'Minh Tang', 'Carey E. Priebe', 'Youngser Park']
I am writing a research paper on a idea Inference in time series of graphs using locality statistics
[{"from": "human", "value": "I am writing a research paper on a idea Inference in time series of graphs using locality statistics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The ability to detect change-points in a dynamic network or a time series of graphs is an increasingly important task in many applications of the emerging discipline of graph signal processing.  formulates change-point detection as a hypothesis testing problem in terms of Stochastic Block Model time series.  analyze two classes of scan statistics, based on distinct underlying locality statistics presented in the literature. Our main contribution is the derivation of the limiting distributions and por characteristics of the competing scan statistics. Performance is compared theoretically, on synthetic data, and on the Enron email corpus.  demonstrate that both statistics are admissible in one simple setting, while one of the statistics is inadmissible in a second setting."}]