This handout consolidates the full trajectory of computational social network analysis (CSNA) into its final stage—implementation, communication, and reflection. The execution of algorithms and analytical plans is presented as both a technical and epistemological act, requiring disciplined coding practices, rigorous documentation, and attention to reproducibility. Cross-tool verification is described as a computational analogue of scientific peer review, reinforcing the principle that reliability arises from methodological redundancy. The writing of the final report is framed as a synthesis of precision and narrative, integrating statistical outputs, visualizations, and sociological interpretation into a cohesive argument.

The standards of reproducibility and academic rigor are reaffirmed through explicit documentation of methods, citations, and data sources. Finally, presentation and reflection are treated as intellectual culmination points: spaces where technical mastery is translated into human insight. Students are challenged to articulate not only what their models reveal but also what those revelations imply about the nature of connectedness, inequality, and collective behavior. The topic concludes that the true value of CSNA lies in its ability to turn computation into understanding, and understanding into reflection.

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