  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.
