Deepwalk based influence maximization (dwim): influence maximization using deep learning

HIGHLIGHTS

  • who: Kapil Sharma from the Department of Information Technology, Delhi Technological University, New Delhi, India have published the article: DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning, in the Journal: (JOURNAL)
  • what: The experiments are performed to assess the proposed algorithm and centrality measures are used to compare the results. They are the main focus of the business house, organization, manufacturers of the products, and marketing . The paper proposed machine_learning model to predict diffrent phases of the Covid like daily cases of corona positive, severity of corona and flattening of curve by analyzing . . .

     

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