Social Network Analysis (SNA): Can identities and frontiers be modeled and correlated through IT/AI?

 Abstract-TheM@GM@Journalhasrecentlyissuedacallforcontributionsentitled”L’IDENTIT´ E:QUANDLES
 FRONTI` ERES SE REDESSINENT”. According to the contents of the above-mentioned call, identity (whether
 social, grouporindividual)isrevealedasafunctionofanunstableanddynamicallyevolvingsystem,dependent
 on different random variables in a non-deterministic force field that cannot be immediately determined on a
 small scale, but which can present repetitive structures on a large and very large scale. Therefore, fractal
 structures were considered that could be determined through their analogies by analyzing the entire scale
 of the variables and of the identity function. In short, the topic should be dominated by Juli` a’s laws and
 the Attractor model. If this were agreed upon, models and a multivariate function could be suggested to be
 taken as a reference in the more general study of problems concerning identity and frontiers. However, the
 analysis highlights that the direct or indirect presence of the human factor, with its intrinsic unpredictability
 and irreducible, seems to impact on the possible analyses and modeling through IT/AI that are potentially set
 up as in the review outlined here. At least at first glance, mathematical modeling appears possible, but above
 all to develop similarities and reasoning in an analogical way, rather than to reach defined and quantitative
 results, unless it proceeds through research and development of concrete application examples. Different,
 instead, are the perspectives through a complementary and synergic approach of SNA and mathematical
 modeling together. In practice, SNA can provide experimental datasets and trends at different times to build
 andcalibratetheproposeddifferentialequations! Withoutthiscalibration,themathematicalmodelingproposal
 would be purely theoretical.