Finding influential users of online health communities: a new metric based on sentiment influence.

Finding influential users of online health communities: a new metric based on sentiment influence.

Item
http://www.wikidata.org/entity/Q34235755
Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impactFrom Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health CommunitiesDoes sustained participation in an online health community affect sentiment?Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis.Analyzing and Predicting User Participations in Online Health Communities: A Social Support PerspectiveAspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses.A prospective examination of online social network dynamics and smoking cessation.Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups.Mining Health Social Media with Sentiment Analysis.Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication.
P2860

Finding influential users of online health communities: a new metric based on sentiment influence.

Item
http://www.wikidata.org/entity/Q34235755
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Finding influential users of o ...... based on sentiment influence.
@ast
Finding influential users of o ...... based on sentiment influence.
@en
Finding influential users of o ...... based on sentiment influence.
@nl
type
label
Finding influential users of o ...... based on sentiment influence.
@ast
Finding influential users of o ...... based on sentiment influence.
@en
Finding influential users of o ...... based on sentiment influence.
@nl
prefLabel
Finding influential users of o ...... based on sentiment influence.
@ast
Finding influential users of o ...... based on sentiment influence.
@en
Finding influential users of o ...... based on sentiment influence.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P932
P356
P1433
P1476
Finding influential users of o ...... based on sentiment influence.
@en
P2093
P2860
P304
P31
P356
10.1136/AMIAJNL-2013-002282
P433
P478
P50
P577
P5875
P698
P932