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Table 1 Main characteristics of the generative models of online discussion threads: the features, whether the predicted thread is a tree-like structure, whether threads grow in discrete or continuous time, and the datasets and structural properties used for the parameter estimation and the validation of the model

From: Generative models of online discussion threads: state of the art and research challenges

Model

Ref.

Features

Structure

Time

Datasets

Str. properties

Kumar et al.

[83]

Popularity, Novelty, Reciprocity

Tree

Discrete

Y! Groups, Usenet, Twitter

Size, Depth, Degree

Wang et al.

[84]

Popularity

Tree

Continuous

Digg, Reddit, Epinions

Size

Gómez et al.

[85]

Popularity, Novelty, Root-bias

Tree

Discrete

Slashdot, Barrapunto, Wikipedia, Menéame

Size, Depth, Degree

Backstrom et al.

[86]

Novelty, Arrival patterns, Text expressions, Social influence

Array

Continuous

Facebook, Google+, Wikipedia

Size

Nishi et al.

[87]

Popularity, Segment lengths

Tree

Discrete

Twitter

Size, Depth, Shapes

Lumbreras et al.

[88]

Popularity, Novelty, Root-bias, User Role

Tree

Discrete

Reddit

Size, Depth, Degree

Aragón et al.

[89]

Popularity, Novelty, Root-bias, Reciprocity

Tree

Discrete

Menéame

Size, Depth, Degree