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Clustering analysis of online discussion participants
Title Clustering analysis of online discussion participants Author Krammer Peter 1984- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Co-authors Kvassay Marcel 1968- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Mojžiš Ján 1985- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Budinská Ivana 1964- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Jurkovič Marek 1990- SAVEXPSY - Ústav experimentálnej psychológie SAV ORCID Source document Procedia Computer Science. Vol. 134 (2018), p. 186-195 Language eng - English Country NL - Netherlands Document kind rozpis článkov z periodík (rbx) Citations ANTELMI, Alessia - MALANDRINO, Delfina - SCARANO, Vittorio. Characterizing the Behavioral Evolution of Twitter Users and The Truth Behind the 90-9-1 Rule. In COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 2019, vol., no., pp. 1035-1038. KENYERES, Martin - KENYERES, Jozef. Examination of Average Consensus with Maximum-degree Weights and Metropolis-Hastings Algorithm in Regular Bipartite Graphs. In 20th Anniversary of IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2022 Proceedings, 2022-01-01, pp. 313-319. Dostupné na: https://doi.org/10.1109/ICETA57911.2022.9974744. KENYERES, Martin - KENYERES, Jozef. Convex Optimized Average Consensus Weights for Data Aggregation in Wireless Sensor Networks. In Lecture Notes in Networks and Systems, 2024-01-01, 934 LNNS, pp. 281-295. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-3-031-54813-0_27. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2018 Registered in WOS Registered in SCOPUS DOI 10.1016/j.procs.2018.07.161 
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rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2018 2017 0.258
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