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.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
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.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
Details
Creator
nd7141
Language
Python
Category
ai-agent
Published
2/14/2014
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