Using Social Network Analysis to Quantify Interoperability and Versatility in the U.S. Air Force Network of Systems

This study employs social network analysis to examine more than 10,000 Twitter interactions that include the U.S. Freedom of Information Act hashtag (#FOIA) to understand who is engaging online, and to what extent. The analysis finds evidence of a dynamic conversation online among citizens, journalists, advocates, and public agencies. Findings offer insights into how citizens are using social media to engage with government and one another in conversations around important public policies, such as government transparency, as well as how technologies such as social media can be leveraged to better understand citizens’ interest. The study also found a significant increase in tweets during national Sunshine Week, a vehicle that increases national dialogue about FOI, and highlights effective social media strategies employed by MuckRock and other advocacy organizations.

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Why social network analysis is important to Air Force applications

10.1117/12.920006 ◽

2012 ◽

Author(s):

Paul R. Havig ◽

John P. McIntire ◽

Eric Geiselman ◽

Fairul Mohd-Zaid

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Air Force

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A Data Visualization Dashboard like a Game to Show Associations Between Cited-by and Similar Journals related to JMIR Serious Games: A Bibliometric Study (Preprint)

10.2196/preprints.12059 ◽

2018 ◽

Author(s):

Tsair-Wei Chien ◽

Hsien-Yi Wang ◽

Yang Shao ◽

Willy Chou

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Serious Games ◽

Deep Insight ◽

The Past ◽

The Given ◽

Strength Of Association ◽

Insight Into ◽

The U.S

BACKGROUND Over 47,703 articles were found on Pubmed.com by searching for the keyword “association between[Title]” in the past. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find journals related to a specific journal. The strength of association between cited-by and similar journals for a given journal is required to report. OBJECTIVE This study aims (1) to present the feature of a given journal about their keyword topics and international author collaborations; (2) to show the cited-by and similar journals related to the given journal; (3) to investigate the association between their cited-by and similar journals. METHODS We obtained 85 abstracts since 2013 from Medline based on the keywords of ("JMIR Serious Games[Journal]) on June 30, 2018, and plotted the clusters, including (i) international author collaborations, (ii) keyword topics, (iii)cited-by and similar journals related to JMIR Serious Games(JSG), and (iv) association between cited-by and similar journals, on Google Maps by using social network analysis(SNA). RESULTS This study found that (1) the most number of papers are from the U.S.( 28, 32.9%) and the U.K. (11,12.9 %), the most frequently used keywords are serious games and video games; (2) the top two journals for cited-by and similar journals, respectively, are (i) JMIR mHealth uHealth(IF=4.541), J Med Internet Res (IF=4.671) and (ii) Games Health J (IF= 2.019), J Med Internet Res (IF=4.671); (3) a mild association(=0.14) exists between cited-by and similar journals related to JSG. CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future manuscript submissions to JSG. CLINICALTRIAL Not available

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