• Corpus ID: 160010046

Generic Multilayer Network Data Analysis with the Fusion of Content and Structure

@article{Vu2019GenericMN,
  title={Generic Multilayer Network Data Analysis with the Fusion of Content and Structure},
  author={Xuan-Son Vu and Abhishek Santra and Sharma Chakravarthy and Lili Jiang},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.08635}
}
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest for analysis. Features (e.g., age, gender, relationship, political view etc.) can be explicitly given from datasets, but also can be derived from content (e.g., political view based on Facebook posts). Analysis from multiple perspectives is needed to understand the datasets (or subsets of it) and to infer meaningful… 

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