Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications.

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Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications. is …
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scholarly articleQ13442814

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P356DOI10.2196/JMIR.4297
P932PMC publication ID4526963
P698PubMed publication ID26111790

P50authorTrevor van MierloQ57316489
Douglas HyattQ59769547
Andrew T. ChingQ59769551
P2093author name stringDouglas Hyatt
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Superusers in social networks for smoking cessation: analysis of demographic characteristics and posting behavior from the Canadian Cancer Society's smokers' helpline online and StopSmokingCenter.netQ36150852
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The 1% rule in four digital health social networks: an observational studyQ40168939
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New Year quit smoking resolutionsQ48632280
American Cancer Society's QuitLink: randomized trial of Internet assistanceQ50171309
Power-Law Distributions in Empirical DataQ50377899
Integrated online services for smokers and drinkers? Use of the check your drinking assessment screener by participants of the Stop Smoking Center.Q51903808
Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' DemandQ55892077
Power laws, Pareto distributions and Zipf's lawQ55898849
Beyond Gaussian averages: redirecting international business and management research toward extreme events and power lawsQ56059707
P4510describes a project that usesSQLQ47607
P433issue6
P304page(s)e160
P577publication date2015-06-25
P1433published inJournal of Medical Internet ResearchQ6295534
P1476titleMapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications
P478volume17

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cites work (P2860)
Q36573877Behavioral Economics, Wearable Devices, and Cooperative Games: Results From a Population-Based Intervention to Increase Physical Activity.
Q38755964Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups.
Q37371157Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks.
Q38603232Engagement as a Driver of Growth of Online Health Forums: Observational Study.
Q26775553From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities
Q60441636How Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities
Q47955525Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis

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