# independent-cascade-diffusion-with-claude-mcp-connector

> independent-cascade-diffusion-with-claude-mcp-connector — km-sharad-independent-cascade-diffusion-with-claude-mcp-connector. Use this tool when you need to analyze information diffusion in networks and integrate insights with large language models like Claude. It solves problems related to seed node selection and network data mining, providing outputs that enable natural language querying of network-related questions. It takes network data as input and outputs actionable insights, making it ideal for use cases where understanding complex network dynamics is crucial.

Canonical page: https://skillsregistry.net/skills/km-sharad-independent-cascade-diffusion-with-claude-mcp-connector  
JSON: https://api.skillsregistry.net/v1/skills/km-sharad-independent-cascade-diffusion-with-claude-mcp-connector

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/km-sharad/independent-cascade-diffusion-with-claude-mcp-connector)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "km-sharad-independent-cascade-diffusion-with-claude-mcp-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/km-sharad-independent-cascade-diffusion-with-claude-mcp-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/km-sharad-independent-cascade-diffusion-with-claude-mcp-connector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt