Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  endeavors to bring together two largely disparate areas of research. On one hand, text mining methods treat each document as an independent instance despite the fact that in many text domains, documents are linked and their topics are correlated. For example, b pages of related topics are often connected by hyperlinks and scientific papers from related fields are typically linked by citations. On the other hand, Social Network Analysis (SNA) typically treats edges beten nodes according to "flat" attributes in binary form alone.  proposes a simple approach that addresses both these issues in data mining scenarios involving corpora of linked documents. According to this approach, after assigning ights to the edges beten documents, based on the content of the documents associated with each edge,  apply standard SNA and network theory tools to the network. The method is tested on the Enron email corpus and successfully discovers the central people in the organization and the relevant communications beten them. Furthermore, Our findings suggest that due to the non-conservative nature of information, conservative centrality measures (such as PageRank) are less adequate here than nonconservative centrality measures (such as eigenvector centrality).
['Yakir Berchenko', 'Or Daliot', 'Nir N. Brueller']
I am writing a research paper on a idea Intra-firm information flow: a content-structure perspective
[{"from": "human", "value": "I am writing a research paper on a idea Intra-firm information flow: a content-structure perspective"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  endeavors to bring together two largely disparate areas of research. On one hand, text mining methods treat each document as an independent instance despite the fact that in many text domains, documents are linked and their topics are correlated. For example, b pages of related topics are often connected by hyperlinks and scientific papers from related fields are typically linked by citations. On the other hand, Social Network Analysis (SNA) typically treats edges beten nodes according to \"flat\" attributes in binary form alone.  proposes a simple approach that addresses both these issues in data mining scenarios involving corpora of linked documents. According to this approach, after assigning ights to the edges beten documents, based on the content of the documents associated with each edge,  apply standard SNA and network theory tools to the network. The method is tested on the Enron email corpus and successfully discovers the central people in the organization and the relevant communications beten them. Furthermore, Our findings suggest that due to the non-conservative nature of information, conservative centrality measures (such as PageRank) are less adequate here than nonconservative centrality measures (such as eigenvector centrality)."}]