Publication2026
Dynamic Network Evolution Modeling with Time-Series Structural Features
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- 1st International Conference on Intelligent Computing Networks and Security IC Icns 2026
- Published
- 1 January 2026
- DOI
- 10.1109/ic-icns68863.2026.11537401
- Scopus ID
- 105042237008
- Authors
- 7
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Dynamic network modeling with temporal structural features and link prediction represents research innovation in graph mining algorithms for social network analysis.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Network science and machine learning research contributes to fundamental research and development capacity in computational social science.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Dynamic Network Evolution Modeling with Time-Series Structural Features”. Kortex.