ai-agent

Influence Maximization with influence-maximization

Solve influence maximization problems with this Python repository, for founders leveraging AI agents.
158 stars65 forksPythonGuide quality 8/10Updated 5/19/2015100% free · open source
What it does

This tool solves influence maximization problems using a Python repository, helping founders leverage AI agents to maximize their influence in a network.

When to use it
  • When you need to identify the most influential nodes in a social network
  • When you want to optimize the spread of information or marketing campaigns
  • When you need to analyze the structure of a network and its key players
Ready-to-paste prompt
python run.py -n example_network.txt -k 10 -p 0.1
Heads up: Make sure you have Python 3.8 or later installed, as the repository uses Python 3.8+ specific features, and also ensure you have the required packages installed, including networkx and numpy.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/influence-maximization && curl -fsSL https://workflowstacks.com/api/skills/influence-maximization/claude-skill -o ~/.claude/skills/influence-maximization/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
nd7141
Language
Python
Category
ai-agent
Published
2/14/2014

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.