Do You Know the Way to SNA?: A Process Model for Analyzing and Visualizing Social Media Network Data

Hansen, Derek L.; Rotman, Dana; Bonsignore, Elizabeth; Milić-Frayling, Nataša; Rodrigues, Eduarda Mendes; Smith, Marc A.; Shneiderman, Ben

doi:10.1109/socialinformatics.2012.26

Cited by 53 publications

(50 citation statements)

References 10 publications

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“…We focus specifically on multiple EHRs and with a strong emphasis in temporal analysis. Our level of granularity and task-specificity is similar to the proposed process model for social network analysis [6].…”

Section: Related Workmentioning

confidence: 99%

Visual information seeking in multiple electronic health records

Wang

Wongsuphasawat

Plaisant

et al. 2010

Proceedings of the 1st ACM International Health Informatics Symposium

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Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 [22], our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into an information-seeking process model for multiple EHRs. Based on our analysis, we make recommendations to future information visualization designers for EHRs on design requirements and future research directions.

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Section: Related Workmentioning

confidence: 99%

Visual information seeking in multiple electronic health records

Wang

Wongsuphasawat

Plaisant

et al. 2010

Proceedings of the 1st ACM International Health Informatics Symposium

Self Cite

View full text Add to dashboard Cite

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“…Marketers utilize SNSs as a means of commercial interaction in order to promote their products and services [8]. They are used to help increase loyalty in the product and the brand, as well as provide a way to troubleshoot problems or discuss beneficial uses of a product.…”

Section: Social Networking Site Usementioning

confidence: 99%

The Sociological Antecedents of Brand Attachment: A comparison of Broadcasting and Passive Consumption on Social Networking Sites

Shin¹,

Park²,

Ross³

2016

Journal of Digital Convergence

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In this study, the authors examine the ways in which social media ultimately affects the attachment of individuals to their favorite brands. Through an analysis of data using multiple linear regression, this study finds that SNS (social networking site) users that post status updates for a wide audience have no bearing on the individual's use of socialization agents. Those who consume social news passively are, however, likely to depend on socialization agents for determining their final purchase decisions. Socialization agents, both personal and non-personal, also play a role in the formation of brand attachment among individuals who depend on these social sources. Based on these results, marketers are encouraged to establish an online footprint of a social nature to formulate brand awareness and to provide a means for users of social media to improve their brand attachments to their favored brands. As this research was conducted exclusively in the predominantly collective culture of South Korea, further studies could attempt to analyze social networking use and socialization agent use via a cross-culture study, particularly one including an individualistic culture.

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“…We focus specifically on multiple EHRs and with a strong emphasis on temporal analysis. Our level of granularity and task-specificity is similar to the proposed process model for social network analysis (23) .…”

Section: Related Workmentioning

confidence: 99%

Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations

et al. 2011

Self Cite

View full text Add to dashboard Cite

Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 [22], our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations to information visualization tools to explore EHR systems.

show abstract

Do You Know the Way to SNA?: A Process Model for Analyzing and Visualizing Social Media Network Data

Cited by 53 publications

References 10 publications

Visual information seeking in multiple electronic health records

Visual information seeking in multiple electronic health records

The Sociological Antecedents of Brand Attachment: A comparison of Broadcasting and Passive Consumption on Social Networking Sites

Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations

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