Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Networks are prevalent and have posed many fascinating research questions. How can  spot similar users, e.g., virtual identical twins, in Cleveland for a New Yorker? Given a query disease, how can  prioritize its candidate genes by incorporating the tissue-specific protein interaction networks of those similar diseases? In most, if not all, of the existing network ranking methods, the nodes are the ranking objects with the finest granularity. ,  propose a new network data model, a Network of Networks (NoN), where each node of the main network itself can be further represented as another (domain-specific) network. This new data model enables to compare the nodes in a broader context and rank them at a finer granularity. Moreover, such an NoN model enables much more efficient search when the ranking targets reside in a certain domain-specific network.  formulate ranking on NoN as a regularized optimization problem; propose efficient algorithms and provide theoretical analysis, such as optimality, convergence, complexity and equivalence. Extensive experimental evaluations demonstrate the effectiveness and the efficiency of our methods.
['Jingchao Ni', 'Hanghang Tong', 'Wei Fan', 'Xiang Zhang']
I am writing a research paper on a idea Inside the atoms: ranking on a network of networks
[{"from": "human", "value": "I am writing a research paper on a idea Inside the atoms: ranking on a network of networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Networks are prevalent and have posed many fascinating research questions. How can  spot similar users, e.g., virtual identical twins, in Cleveland for a New Yorker? Given a query disease, how can  prioritize its candidate genes by incorporating the tissue-specific protein interaction networks of those similar diseases? In most, if not all, of the existing network ranking methods, the nodes are the ranking objects with the finest granularity. ,  propose a new network data model, a Network of Networks (NoN), where each node of the main network itself can be further represented as another (domain-specific) network. This new data model enables to compare the nodes in a broader context and rank them at a finer granularity. Moreover, such an NoN model enables much more efficient search when the ranking targets reside in a certain domain-specific network.  formulate ranking on NoN as a regularized optimization problem; propose efficient algorithms and provide theoretical analysis, such as optimality, convergence, complexity and equivalence. Extensive experimental evaluations demonstrate the effectiveness and the efficiency of our methods."}]