Name
Title | ||
|---|---|---|
Using Pathfinder networks to discover alignment between expert and consumer conceptual knowledge from online vaccine content. |
Abstract | ||
|---|---|---|
•Derived Pathfinder networks from distributional models of consumer and expert content.•This revealed organization differences for vaccine safety/adherence-related knowledge.•Document-level distributional models produced more coherent Pathfinder networks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jbi.2017.08.007 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Distributional semantics,Vaccination,Consumer health,Knowledge acquisition,Mental models,Natural language processing,Social media,Public health informatics,Big data,Semantic spaces,Consumer informatics | Data science,Data mining,Domain knowledge,Conceptual model,Computer science,Distributional semantics,Knowledge management,Conceptualization,Target audience,Public health informatics,Knowledge acquisition,Pathfinder network | Journal |
Volume | ISSN | Citations |
74 | 1532-0464 | 0 |
PageRank | References | Authors |
0.34 | 13 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Amith | 1 | 22 | 9.01 |
| Rachel Cunningham | 2 | 5 | 2.27 |
| Lara S. Savas | 3 | 0 | 0.68 |
| Julie Boom | 4 | 1 | 1.03 |
| Roger W. Schvaneveldt | 5 | 97 | 33.00 |
| Cui Tao | 6 | 35 | 12.77 |
| Trevor Cohen | 7 | 579 | 53.11 |