km-sharad/independent-cascade-diffusion-with-claude-mcp-connector: I discuss and demonstrate the impact of seed nodes selection on information diffusion in a network. I then show how insights obtained by data mining on a network can be integrated with a LLM - like Claude - by building connectors using the Model Context Protocol (MCP) architecture so that users can ask network related questions in natural language.
Language: Python
Topics: betweenness-centrality, degree-centrality, graph-propagation-algorithm, greedy-hill-climbing, independent-cascade-model, information-diffusion, mcp, mcp-server, network-diffusion
Category: llm-orchestration-routing