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A system to display relationships between real world networks and social networks. For Kent State University COF-CS Grant research.

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InfernoX5515/Spatial-SocialNetworks

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Spatial Social Networks

In this project, we tackle a useful problem, keyword-based community search over spatial-social networks (KCS-SSN), which retrieves a community of users who are constrained by query keywords (w.r.t. user interests/preferences and POI keywords) and have high social and spatial cohesiveness (e.g., constraints of (k, d)-truss and average road-network distances). We propose efficient and effective algorithms to enable fast retrieval of community answers and design a user-friendly graphical user interface (GUI) to interact with users.

Contributions

  • Formalized the problem of community search over spatial-social networks
  • Provide a user-friendly interface to plot, visualize, and analyze spatial-social network
  • Design efficient techniques for keyword-based community searching

Getting Started

  1. Clone the repository
  2. Install the requirements using pip install -r requirements.txt
  3. Run the code using python Main.py