Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

about

A descriptive statistical analysis of volume, visibility and attitudes regarding nursing and care robots in social media.Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights.

P2860

Q47666117-03E3748D-B6EA-4582-A6FD-3349518A74E8 Q55045595-5BAB328E-04C6-40EF-813E-DED0FF0D2D42

P2860

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

Item

http://www.wikidata.org/entity/Q38693941

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

@en

type

Item

label

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

@en

prefLabel

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

@en

P1476

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California

@en

P2093

Gary A Zarkin

http://www.w3.org/2001/XMLSchema#string

Georgiy V Bobashev

http://www.w3.org/2001/XMLSchema#string

Peter M Baumgartner

http://www.w3.org/2001/XMLSchema#string

P2860

Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds

Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter

Patient Perspectives on Sharing Anonymized Personal Health Data Using a Digital System for Dynamic Consent and Research Feedback: A Qualitative Study

Peer victimisation during adolescence and its impact on depression in early adulthood: prospective cohort study in the United Kingdom

Structure and inference in annotated networks

Fast unfolding of communities in large networks

Cannabinoids for Medical Use

The rise of digital direct-to-consumer advertising?: Comparison of direct-to-consumer advertising expenditure trends from publicly available data sources and global policy implications.

Opportunities and challenges in the use of personal health data for health research

"Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S.

P304

e236

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.2196/JMIR.7137

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

P577

2017-07-04T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28676471

http://www.w3.org/2001/XMLSchema#string

P921

Twitter

California

P932

5516098

http://www.w3.org/2001/XMLSchema#string

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

about

P2860

P2860

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P932