Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study applies dynamical and statistical modeling techniques to quantify the proliferation and popularity of trending hashtags on Twitter. Using time-series data reflecting actual tets in New York City and San Francisco,  present estimates for the dynamics (i.e., rates of infection and recovery) of several hundred trending hashtags using an epidemic modeling framework coupled with Bayesian Markov Chain Monte Carlo (MCMC) methods. This methodological strategy is an extension of techniques traditionally used to model the spread of infectious disease. Using SIR-type models,  demonstrate that most hashtags are marginally infectious, while very few emerge as “trending”. In doing so  illustrate that hashtags can be grouped by infectiousness, possibly providing a method for quantifying the trendiness of a topic.
['Jonathan Skaza', 'Brian S. Blais']
I am writing a research paper on a idea Modeling the Infectiousness of Twitter Hashtags
[{"from": "human", "value": "I am writing a research paper on a idea Modeling the Infectiousness of Twitter Hashtags"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study applies dynamical and statistical modeling techniques to quantify the proliferation and popularity of trending hashtags on Twitter. Using time-series data reflecting actual tets in New York City and San Francisco,  present estimates for the dynamics (i.e., rates of infection and recovery) of several hundred trending hashtags using an epidemic modeling framework coupled with Bayesian Markov Chain Monte Carlo (MCMC) methods. This methodological strategy is an extension of techniques traditionally used to model the spread of infectious disease. Using SIR-type models,  demonstrate that most hashtags are marginally infectious, while very few emerge as \u201ctrending\u201d. In doing so  illustrate that hashtags can be grouped by infectiousness, possibly providing a method for quantifying the trendiness of a topic."}]