Name
Title | ||
|---|---|---|
Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach. |
Abstract | ||
|---|---|---|
•This paper studies internal motivations of users’ online topic preferences.•An improved nonparametric hierarchical Bayesian topic model is proposed.•Generative relationships from intrinsic factors to topic preferences are studied.•Study of Facebook data reveals internal motivation for users’ topic preference.•Intrinsic factors dominating topic preferences for individual users are identified. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2017.09.041 | Information Sciences |
Keywords | Field | DocType |
Social media,Topic preference,Intrinsic factor,Nonparametric hierarchical Bayesian model | Big Five personality traits,Dirichlet process,Extraversion and introversion,Social media,Conscientiousness,Artificial intelligence,Machine learning,Instrumental and intrinsic value,Mathematics,Personality,Bayesian probability | Journal |
Volume | Issue | ISSN |
423 | C | 0020-0255 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yezheng Liu | 1 | 145 | 24.69 |
| Jiajia Wang | 2 | 0 | 0.68 |
| Yuanchun Jiang | 3 | 184 | 21.24 |
| Jianshan Sun | 4 | 192 | 17.65 |
| Jennifer Shang | 5 | 191 | 17.93 |