The study combines weighted degree, clustering, path length, degree-distribution entropy and Shannon entropy into a normalized communication index. A 30-day TikTok public-service campaign yielded 788 valid nodes and 1,179 interactions. The reported propagation index was 0.684, coupling degree 0.742 and final communication score 0.711, interpreted as high structural-information synergy.
Key findings
- The framework combines network topology and information uncertainty. • The case study included 788 nodes and 1,179 interactions over 30 days. • The reported communication-effect score was 0.711.
Why this matters globally
The framework could move evaluation beyond view counts, but cross-campaign and cross-platform validation is needed before it can serve as a standard performance measure.
Thai researcher contribution
The bibliographic record links an author affiliation to Thailand, indicating Thai-associated participation in computational communication measurement; the full-text affiliation should still be checked.
Limitations to consider
This is a single TikTok campaign; results depend on normalization, weights and model assumptions that have not yet been externally validated.