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We present some practical guidelines for software implementations of themeta-structure project introduced in previous contributions. The purpose of themeta-structure project is to implement models not only to detect, but also toinduce, change and maintain properties acquired by collective behaviours. Weconsider the simplified case given by simulated collective behaviours where allthe microscopic spatial information (x, y, z) for each interacting agent perinstant are available ex-post in a suitable file. In particular, we introduceguidelines to identify suitable mesoscopic variables (clusters) andmeta-structural properties suitable for representing coherence of collectivebehaviours to be also used to induce coherence in non-coherent Brownianbehaviours. Furthermore, on the basis of previous contributions which studiedin real flocks properties related to topological distances as topologicalranges of interaction and scale invariance, here we introduce some comments andproposals to be further studied and implemented for network models ofcollective behaviours.  Keywords: Cluster, Coherence, Ergodicity, Mesoscopic, Meta-Structure,Network, Threshold.

Tentative guidelines for the implementation of meta-structural and network software models of collective behaviours