Independent Cascade Diffusion MCP Server

Example Use Cases

• 1

  Answer natural language questions about information diffusion in social networks.

• 2

  Analyze the influence and reach of seed nodes selected by various centrality and greedy algorithms.

• 3

  Integrate network science insights with large language models using the Model Context Protocol.

Description

This MCP server provides context and tools to the Claude language model by exposing network diffusion statistics derived from independent cascade diffusion simulations on a Facebook ego graph. It enables users to query and analyze the impact of seed node selection on information diffusion in social networks using classical centrality measures and greedy hill climbing algorithms. The integration enhances the LLM's ability to answer complex network-related questions naturally and interactively.