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Introduction

WatchComplexity is a collection of clustering techniques inspired by social science and communication theories.
It is a machine learning framework to understand and analyze complex networks and, more in general complex data.

Implementation

Is is written in javascript, but one of the next steps of development could be to extend it as microservices to expose its methods through REST API to be used by other languages.

Motivation

Our main goal is to do experimental research with practical applications.

Index of contents

The tool provides (and will provide) several algorithms, that are listed below.

• Introduction
• Algorithms
  • Ranked Influence Typology