The use of complex networks in automatic group formation problem
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Complex networks science reveals information from a complex system by considering it instead of considering its elements separately. For instance, we can predict how a disease spreads via the global air transportation network [The problem of automatic group formation has been assessed using complex networks in the past. Chen and Kuo [Some approaches use network flow theory to find an optimal solution and form student groups. Graf and Bekele [Finally, there are few studies that use networks to form the groups and a different quality group measure. Alberola et al. [Then, a necessity arises of a complex network-based approach to automatically build collaborative learning groups, that can be comparable to other approaches and can be used in a single group activity.