Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: People's email communications can be modeled as graphs with vertices representing email accounts and edges representing email communications. Email communication data usually comes in as continuous data stream. Event detection aims to identify abnormal email communications that serve as analogs of real-world events imposed upon the data stream. The goal is to understand the communications behaviors of the subjects. The contents of emails are often not available or protected by privacy, which makes linkage information the only resource  can rely on.  propose a link-based event detection method that clusters vertices with similar communication patterns together and then, considers deviations from each vertex's individual profile, as ll as its cluster profile. Experiments show that this method performs ll on both Enron and our own email datasets.
['Xiaomeng Wan', 'Evangelos E. Milios', 'Nauzer Kalyaniwalla', 'Jeannette C. M. Janssen']
I am writing a research paper on a idea Link-based event detection in email communication networks
[{"from": "human", "value": "I am writing a research paper on a idea Link-based event detection in email communication networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: People's email communications can be modeled as graphs with vertices representing email accounts and edges representing email communications. Email communication data usually comes in as continuous data stream. Event detection aims to identify abnormal email communications that serve as analogs of real-world events imposed upon the data stream. The goal is to understand the communications behaviors of the subjects. The contents of emails are often not available or protected by privacy, which makes linkage information the only resource  can rely on.  propose a link-based event detection method that clusters vertices with similar communication patterns together and then, considers deviations from each vertex's individual profile, as ll as its cluster profile. Experiments show that this method performs ll on both Enron and our own email datasets."}]