# Human-Machine Networks: Towards a Typology and Profiling Framework

arXiv: https://arxiv.org/abs/1602.07199 · HTML: https://mlsanity.com/paper/1602.07199/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Feb 2016.

## Built on by (most cited first, 1 of 1)

- [AI-enhanced Collective Intelligence](https://mlsanity.com/paper/2403.10433/) (2024)

## Abstract (arXiv)

In this paper we outline an initial typology and framework for the purpose of profiling human-machine networks, that is, collective structures where humans and machines interact to produce synergistic effects. Profiling a human-machine network along the dimensions of the typology is intended to facilitate access to relevant design knowledge and experience. In this way the profiling of an envisioned or existing human-machine network will both facilitate relevant design discussions and, more importantly, serve to identify the network type. We present experiences and results from two case trials: a crisis management system and a peer-to-peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.