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sections/2_academic_impact/thematic_persistence.qmd

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@@ -100,7 +100,7 @@ This approach emphasizes **continuity**, while integrating **growth, impact, and
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##### Longitudinal Co-word Analysis (SciMAT)
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The [SciMAT framework](https://doi.org/10.1016/j.joi.2010.09.002) (Cobo et al., 2011) measures persistence by detecting **continuing themes** across consecutive time periods.
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The SciMAT framework [@Cobo2011AnAF] measures persistence by detecting **continuing themes** across consecutive time periods.
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- Topics identified via keyword co-occurrence networks.
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##### Direct-Citation Topic Survival
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The [CWTS publication-level classification system](https://doi.org/10.1002/asi.22748) enables persistence analysis based on citation-linked topic clusters.
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The CWTS publication-level classification system [@Waltman2012ANM] enables persistence analysis based on citation-linked topic clusters.
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- Topics are defined via **direct citation clustering**.\
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- Persistence is measured through indicators such as:
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##### Continuity Typologies
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The [continuity framework](https://doi.org/10.1016/j.joi.2013.11.006) quantifies persistence by categorizing topics into distinct evolutionary types:
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The continuity framework [@Yan2014ResearchDM] quantifies persistence by categorizing topics into distinct evolutionary types:
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- **Steady**: stable over time\
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- **Concentrating**: narrowing focus while persisting\
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- **Emerging**: new and growing
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Continuity is evaluated by the **strength of inter-year linkages** among topic clusters.\
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This allows distinguishing different **modes of persistence** and topic evolution.
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This allows distinguishing different **modes of persistence** and topic evolution.

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