Name
Title | ||
|---|---|---|
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory |
Abstract | ||
|---|---|---|
Online discussions are valuable resources to study user behaviour on a diverse set of topics. Unlike previous studies which model a discussion in a static manner, in the present study, we model it as a time-varying process and solve two inter-related problems - predict which user groups will get engaged with an ongoing discussion, and forecast the growth rate of a discussion in terms of the number of comments. We propose RGNet (Relativistic Gravitational Nerwork), a novel algorithm that uses Einstein Field Equations of gravity to model online discussions as 'cloud of dust' hovering over a user spacetime manifold, attracting users of different groups at different rates over time. We also propose GUVec, a global user embedding method for an online discussion, which is used by RGNet to predict temporal user engagement. RGNet leverages different textual and network-based features to learn the dust distribution for discussions. We employ four baselines - first two using LSTM architecture, third one using Newtonian model of gravity, and fourth one using a logistic regression adopted from a previous work on engagement prediction. Experiments on Reddit dataset show that RGNet achieves 0.72 Micro F1 score and 6.01% average error for temporal engagement prediction of user groups and growth rate forecasting, respectively, outperforming all the baselines significantly. We further employ RGNet to predict non-temporal engagement - whether users will comment to a given post or not. RGNet achieves 0.62 AUC for this task, outperforming existing baseline by 8.77% AUC. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICDM.2019.00028 | 2019 IEEE International Conference on Data Mining (ICDM) |
Keywords | Field | DocType |
Engagement modeling,General Theory of Relativity,Online discussion platform | F1 score,Embedding,Computer science,Spacetime,Baseline (configuration management),General relativity,Artificial intelligence,Gravitation,Online discussion,Machine learning,Cloud computing | Conference |
ISSN | ISBN | Citations |
1550-4786 | 978-1-7281-4605-8 | 1 |
PageRank | References | Authors |
0.36 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Subhabrata Dutta | 1 | 3 | 2.06 |
| D. Das | 2 | 717 | 76.14 |
| Tanmoy Chakraborty | 3 | 466 | 76.71 |