All that glitters is not gold: Relational events models with spurious events
نویسندگان
چکیده
Abstract As relational event models are an increasingly popular model for studying structures, the reliability of large-scale data collection becomes more and important. Automated or human-coded events often suffer from non-negligible false-discovery rates in identification. And most sensor primarily based on actors’ spatial proximity predefined time windows; hence, observed could relate either to a social relationship random co-location. Both examples imply spurious that may bias estimates inference. We propose Relational Event Model Spurious Events (REMSE), extension existing approaches interaction data. The provides flexible solution modeling while controlling events. Estimation our is carried out empirical Bayesian approach via augmentation. Based simulation study, we investigate properties estimation procedure. To demonstrate its usefulness two distinct applications, employ this combat Syrian civil war student co-location Results applications identify REMSE as suitable presence
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ژورنال
عنوان ژورنال: Network Science
سال: 2022
ISSN: ['2050-1250', '2050-1242']
DOI: https://doi.org/10.1017/nws.2022.22