Theorizing Routines with Computational Sequence Analysis: A Critical Realism Framework

We develop a methodological framework to process theories on routines by leveraging large volumes of digital trace data following critical realism principles. Our begins with collecting and preprocessing data, corresponding the empirically observed experience realism. In second third steps framework, we identify finite set similar repetitive patterns (routines) through computational analysis. accomplish this combining frequent subsequence mining clustering analysis transform empirical observation into that correspond actual happening in Then, employ retroduction approach generative mechanisms routines. final step, validate evaluating proposed processual explanations and/or eliminating alternatives. provide an illustrative example developing theory relation collaboration pattern Wikipedia.