In this model, a role u, u=1,…,U, corresponds to specific values θ u =(α u,β u,τ u ) associated to the popularity, root-bias and novelty influence, respectively, of a type of user.
Given that threads in online discussion are commonly characterized by long chains of reciprocal of messages (visually emphasized in hierarchical views) [95], Aragón et al. [89] incorporates reciprocity to the original features from Gómez et al. [85]: popularity, root-bias and novelty.
We disregarded all check-ins in venues with fewer than five check-ins and considered only one check-in per user per venue to avoid users with many check-ins biasing the popularity of a venue among all users.
In particular, the model examines whether the identification of groups of users with the same behavior (i.e identical parameter values of popularity, novelty and root-bias) might predict user behavior in a new context.
We observe the heterogeneity of these approaches in relation to features (popularity, novelty, reciprocity, root-bias, arrival patterns, text expressions, social influence, segment lengths, user roles), structure of threads (tree, array), temporal dimension (discrete, continuous), and the structural properties for validation (size, depth, degree, shapes).
This framework was adopted because of its simplicity, practicality, ability to detect bias and current popularity [ 3, 10].
This was further refined using the Kullback-Leibler (KL) score, thus correcting for bias introduced by the popularity of the gene to be co-cited in all of Medline which we found to inherent in the Shannon entropy calculations.
Further, such co-occurrences may result from region proximity or biases (i.e. popularity) that may influence research attention both in the literature and in BAMS.
The Bechdel test began as a joke in Alison Bechdel's comic strip Dykes to Watch Out For in 1985, but has since gained huge popularity as a tool for analysing gender bias in films.
This bias was defined as the popularity of the gene to be co-cited in all of Medline, i.e. its probability of co-citation among all GO and MeSH terms in the gene co-citation space of Medline.
