The identification and classification of phases in small systems, e.g., nuc
lei, social and financial networks, clusters, and biological systems, where
the traditional definitions of phase transitions are not applicable, is im
portant to obtain a deeper understanding of the phenomena observed in such
systems. Within a simple statistical model, we investigate the validity and
applicability of different classification schemes for phase transitions in
small systems. We show that the whole complex temperature plane contains n
ecessary information in order to give a distinct classification.