Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There are several types of processes which can be modeled explicitly by recording the interactions beten a set of actors over time. In such applications, a common objective is, given a series of observations, to predict exactly when certain interactions will occur in the future.  propose a representation for this type of temporal data and a generic, streaming, adaptive algorithm to predict the pattern of interactions at any arbitrary point in the future.  test our algorithm on predicting patterns in e-mail logs, correlations beten stock closing prices, and social grouping in herds of Plains zebras. Our algorithm averages over 85% accuracy in predicting a set of interactions at any unseen timestep. To the best of our knowledge, this is the first algorithm that predicts interactions at the finest possible time grain
['Mayank Lahiri', 'Tanya Y. Berger-Wolf']
I am writing a research paper on a idea Structure Prediction in Temporal Networks using Frequent Subgraphs
[{"from": "human", "value": "I am writing a research paper on a idea Structure Prediction in Temporal Networks using Frequent Subgraphs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There are several types of processes which can be modeled explicitly by recording the interactions beten a set of actors over time. In such applications, a common objective is, given a series of observations, to predict exactly when certain interactions will occur in the future.  propose a representation for this type of temporal data and a generic, streaming, adaptive algorithm to predict the pattern of interactions at any arbitrary point in the future.  test our algorithm on predicting patterns in e-mail logs, correlations beten stock closing prices, and social grouping in herds of Plains zebras. Our algorithm averages over 85% accuracy in predicting a set of interactions at any unseen timestep. To the best of our knowledge, this is the first algorithm that predicts interactions at the finest possible time grain"}]