Alvaro Uzaheta
@auzaheta.bsky.social
Postdoc @socialnetworkslab.bsky.social developing R packages for statistical relational event models. Turning complex network dynamics into accessible tools for researchers. #RStats
5/5 Huge thanks to @johanneswachs.bsky.social for sharing the data, and to the editors & reviewers of the Social Networks Special Issue on Duality 🙌
📖 Read the full paper: doi.org/10.1016/j.so...
We’d love to hear your thoughts!
📖 Read the full paper: doi.org/10.1016/j.so...
We’d love to hear your thoughts!
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June 30, 2025 at 2:36 PM
5/5 Huge thanks to @johanneswachs.bsky.social for sharing the data, and to the editors & reviewers of the Social Networks Special Issue on Duality 🙌
📖 Read the full paper: doi.org/10.1016/j.so...
We’d love to hear your thoughts!
📖 Read the full paper: doi.org/10.1016/j.so...
We’d love to hear your thoughts!
4/5 Case study: a large-scale social media dataset of professional designers.
Designers tend to interact with others in the same content niche—
but interaction patterns are nuanced, reflecting over-represented network mechanisms such as inertia, reciprocity, and transitivity.
Designers tend to interact with others in the same content niche—
but interaction patterns are nuanced, reflecting over-represented network mechanisms such as inertia, reciprocity, and transitivity.
June 30, 2025 at 2:36 PM
4/5 Case study: a large-scale social media dataset of professional designers.
Designers tend to interact with others in the same content niche—
but interaction patterns are nuanced, reflecting over-represented network mechanisms such as inertia, reciprocity, and transitivity.
Designers tend to interact with others in the same content niche—
but interaction patterns are nuanced, reflecting over-represented network mechanisms such as inertia, reciprocity, and transitivity.
3/5 Our two-step approach leverages rich timestamp resolution to explore how content niche affiliation evolves and influences interactions over time.
It extends Breiger’s classic concept of the duality of persons and groups to the digital context.
It extends Breiger’s classic concept of the duality of persons and groups to the digital context.
June 30, 2025 at 2:36 PM
3/5 Our two-step approach leverages rich timestamp resolution to explore how content niche affiliation evolves and influences interactions over time.
It extends Breiger’s classic concept of the duality of persons and groups to the digital context.
It extends Breiger’s classic concept of the duality of persons and groups to the digital context.
2/5 We propose a two-step framework:
📌 Hierarchical Stochastic Block Models (hSBM) — to uncover content niches from metadata
📌 Dynamic Network Actor Model (DyNAM) — to model time-stamped interactions using niche membership as a predictor
📌 Hierarchical Stochastic Block Models (hSBM) — to uncover content niches from metadata
📌 Dynamic Network Actor Model (DyNAM) — to model time-stamped interactions using niche membership as a predictor
June 30, 2025 at 2:36 PM
2/5 We propose a two-step framework:
📌 Hierarchical Stochastic Block Models (hSBM) — to uncover content niches from metadata
📌 Dynamic Network Actor Model (DyNAM) — to model time-stamped interactions using niche membership as a predictor
📌 Hierarchical Stochastic Block Models (hSBM) — to uncover content niches from metadata
📌 Dynamic Network Actor Model (DyNAM) — to model time-stamped interactions using niche membership as a predictor