20.500.12556/DiRROS-29228 Constructing a dataset to support agent-based modeling of online interactions users, topics, and interaction networks Agent-based modeling (ABM) provides a powerful framework for exploring how individual behaviors and interactions give rise to collective social dynamics. However, most ABMs rely on handcrafted or parameterized agent rules that are not empirically grounded, thereby limiting their realism and validation against observed data. To address this gap, we constructed a large-scale, empirically grounded dataset from Reddit to support the development and evaluation of agent-based social simulations. The dataset includes 33 technology-focused, 14 climate-focused, and 7 COVID-related aggregated agents, encompassing around one million posts and comments. Using publicly available posts and comments, we define agent categories based on content and interaction patterns, derive inter-agent relationships from temporal commenting behaviors, and build a directed, weighted network that reflects empirically observed user connections. The resulting dataset enables researchers to calibrate and benchmark agent behavior, network structure, and information diffusion processes against real social dynamics. Our quantitative analysis reveals clear topic-dependent differences in how users interact. Climate discussions show dense, highly connected networks with sustained engagement, COVID-related interactions are sparse and mostly one-directional, and technology discussions are organized around a small number of central hubs. Manual qualitative analysis further shows that agent interactions follow realistic patterns of timing, similarity between users, and sentiment change. agent-based modeling online social interactions information diffusion network structure analysis homophily reddit discussion networks agentno modeliranje spletne družbene interakcije širjenje informacij analiza omrežne strukture homofilija omrežja razprav na Redditu true false true IEEE ZDA Angleški jezik Slovenski jezik © 2026 The Authors. Neznano 2026-04-28 13:51:59 2026-04-28 13:52:00 2026-04-29 03:43:59 0000-00-00 00:00:00 2026 0 0 Nasl. z nasl. zaslona; Soavtorji: Miha Češnovar, Alenka Guček, Marko Grobelnik; Opis vira z dne 28. 4. 2026; str. 52890-52810 Vol. 14 30 Mar. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-01-15 2026-03-26 2026-04-09 004 2169-3536 10.1109/ACCESS.2026.3679263 276633091 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11457911 1 abe544ac-42f8-11f1-a4de-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=43722 RAZ_Sittar_Abdul_2026.pdf RAZ_Sittar_Abdul_2026.pdf 1 72C35B7A44D9BE5FA7A0AB9300664A3A 117ca62743bb8a6a071bd54eff15aa7f2bb11149f7d0ddc24123d2324b6ed918 f8a5bdb9-42f8-11f1-a4de-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=43723 Institut Jožef Stefan 0 0 0