Influence Maximization with influence-maximization
From the repo · “Repository for research project that studies influence maximization problem.”
This tool solves influence maximization problems using a Python repository, helping founders leverage AI agents to maximize their influence in a network.
- •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
python run.py -n example_network.txt -k 10 -p 0.1
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/influence-maximization && curl -fsSL https://workflowstacks.com/api/skills/influence-maximization/claude-skill -o ~/.claude/skills/influence-maximization/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/influence-maximization && curl -fsSL https://workflowstacks.com/api/skills/influence-maximization/claude-skill -o ~/.claude/skills/influence-maximization/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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