Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a computationally inexpensive method of extracting the backbone of one-mode networks projected from bipartite networks.  show that the edge ights in one-mode projections are distributed according to a Poisson binomial distribution. Finding the expected ight distribution of a one-mode network projected from a random bipartite network only requires knowledge of the bipartite degree distributions. Being able to extract the backbone of a projection proves to be highly beneficial to filter out redundant information in large complex networks and to narrow down the information in the one-mode projection to the most relevant.  further demonstrate that the backbone of a one-mode projection aids in the detection of communities.
['Jessica Liebig', 'Asha Rao']
I am writing a research paper on a idea A fast and simple method of extracting the backbone of one-mode projections: An aid in the detection of communities
[{"from": "human", "value": "I am writing a research paper on a idea A fast and simple method of extracting the backbone of one-mode projections: An aid in the detection of communities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a computationally inexpensive method of extracting the backbone of one-mode networks projected from bipartite networks.  show that the edge ights in one-mode projections are distributed according to a Poisson binomial distribution. Finding the expected ight distribution of a one-mode network projected from a random bipartite network only requires knowledge of the bipartite degree distributions. Being able to extract the backbone of a projection proves to be highly beneficial to filter out redundant information in large complex networks and to narrow down the information in the one-mode projection to the most relevant.  further demonstrate that the backbone of a one-mode projection aids in the detection of communities."}]