Preference similarity network structural equivalence clustering based consensus group decision making model.

•Develop an undirected weighted preference network similarity measure.•Expresses strength of experts’ connections sharing most similar preferences.•An undirected weighted preference network structure is derived.•Utilized in the agglomerative hierarchical clustering with complete linkage function.•Group cluster consensus combine clusters’ internal and external cohesion indexes.•Feedback mechanism integrates both SNA and clustering methodologies.