Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Community structure detection in complex networks is important since it can help better understand the network topology and how the network works. Compared with unsupervised method, semi supervised method may perform better. Previous works add and remove edges based on the prior information. But this method doesn't make full use of the prior information. It only used party of information to change the network.  proposed a new semi supervised clustering framework for community detection. By adding the prior information into network based on the network topology, the community structure is more obvious. The experiments on both the synthetic and the real-world networks confirm the effectiveness of the frame work.
['Yong Yao', 'Huihui Liu']
I am writing a research paper on a idea A semi supervised clustering method using relative compactness
[{"from": "human", "value": "I am writing a research paper on a idea A semi supervised clustering method using relative compactness"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Community structure detection in complex networks is important since it can help better understand the network topology and how the network works. Compared with unsupervised method, semi supervised method may perform better. Previous works add and remove edges based on the prior information. But this method doesn't make full use of the prior information. It only used party of information to change the network.  proposed a new semi supervised clustering framework for community detection. By adding the prior information into network based on the network topology, the community structure is more obvious. The experiments on both the synthetic and the real-world networks confirm the effectiveness of the frame work."}]