Automap User's Guide 2013

Carley, Kathleen M.; Columbus, Dave; Landwehr, Peter M.

doi:10.21236/ada586976

Cited by 38 publications

(32 citation statements)

References 16 publications

(11 reference statements)

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“…Each of the data samples (pre-crisis, crisis, post-crisis, and recovery) has been pre-processed with AutoMap [32]. The pre-processing removed all the noise words (e.g., numbers, verbs, extra spaces etc.)…”

Section: Methodsmentioning

confidence: 99%

The Shifting Discourse of the European Central Bank: Exploring Structural Space in Semantic Networks

Nerghes

Lee

Groenewegen

et al. 2014

2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems

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Abstract-Convenient access to vast and untapped collections of documents generated by organizations is a valuable resource for research. These documents (e.g., press releases, reports, speech transcriptions, etc.) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of such large document corpora does not come without challenges. Two of these challenges are 1) the need for appropriate automated methods for text mining and analysis and 2) the redundant and predictable nature of the formalized discourse contained in these collections of texts. Our article proposes an approach that performs well in overcoming these particular challenges for the analysis of documents related to the recent financial crisis. Using semantic network analysis and a combination of structural measures, we provide an approach that proves valuable for a more comprehensive analysis of large and complex semantic networks of formal discourse, such as the one of the European Central Bank (ECB). We find that identifying structural roles in the semantic network using centrality measures jointly reveals important discursive shifts in the goals of the ECB which would not be discovered under traditional text analysis approaches.

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Section: Methodsmentioning

confidence: 99%

The Shifting Discourse of the European Central Bank: Exploring Structural Space in Semantic Networks

Nerghes

Lee

Groenewegen

et al. 2014

2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems

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“…Each of the data samples (pre-crisis, crisis, post-crisis, and recovery) has been pre-processed with AutoMap [50]. The pre-processing removed all the noise words (e.g., numbers as words, verbs, and single letters) in the data and prepared it for the generation of semantic networks.…”

Section: (S/d))mentioning

confidence: 99%

“…N-grams are coded by replacing the spaces between words with an underscore [50]. An example of such a conversion is "interest rate" being coded as "interest_rate".…”

Section: (S/d))mentioning

confidence: 99%

Mapping discursive dynamics of the financial crisis: a structural perspective of concept roles in semantic networks

Nerghes¹,

Lee

Groenewegen³

et al. 2015

Compu Social Networks

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Background/purpose: Convenient access to vast and untapped collections of documents generated by organizations is a highly valuable resource for research. These documents (e.g., press releases) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of large document corpora requires appropriate automated methods for text mining and analysis that are able to take into account the redundant and predictable nature of formalized discourse. Methods: We use a combination of semantic network analysis and network centrality measures to overcome these particular challenges and to explore the dynamic structural space of concepts in formalized documents pertaining to the recent financial crisis. Data: For our analyses, we collect the press releases of the European Central Bank (ECB) and the United States' Federal Reserve System (Fed) issued between 2006 and 2013 in order to examine their semantic networks before, during, and after the recent financial crisis. Their press releases are notably impactful in their influence on other financial institutions and society at large, especially during times of financial volatility. Results: The structural space created from joint centrality metrics reveals salient shifts in the discursive practices of the ECB and Fed. In particular, the Fed exhibits greater attentiveness to the financial crisis especially during the crisis itself, while the ECB's attention is delayed and increasing steadily. Furthermore, we show both the Fed's and the ECB's discourse transitioning into a new "hybrid" state, rather than returning to the pre-crisis status quo. Conclusions: Examining the semantic networks of organizational text documents, we find that our analytic approach reveals important discursive shifts, which would not have been discovered under traditional text-analytic approaches. We demonstrate the utility of this approach in investigating large text corpora of organizational discourse, and we anticipate our methods to be comparably valuable in the analysis of a large spectrum of formal and informal discourse.

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“…Communication network analysis was performed using a social networking software called ORA aka ORA-NetScenes (Carnegie Mellon University and Netanomics) [12,13]. ORA has been used in the past to study organizational risk, terrorist networks, and business and economies.…”

Section: Communication Network Analysismentioning

confidence: 99%

Multi-disciplinary communication networks for skin risk assessment in nursing homes with high IT sophistication

Alexander

Pasupathy

Steege

et al. 2014

International Journal of Medical Informatics

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Background-The role of nursing home (NH) information technology (IT) in quality improvement has not been clearly established, and its impacts on communication between care givers and patient outcomes in these settings deserve further attention.Objectives-In this research, we describe a mixed method approach to explore communication strategies used by healthcare providers for resident skin risk in NH with high IT Sophistication (ITS).Methods-Sample included NH participating in the statewide survey of ITS. We incorporated rigorous observation of 8-and 12-hour shifts, and focus groups to identify how NH IT and a range of synchronous and asynchronous tools are used. Social network analysis tools and qualitative analysis were used to analyze data and identify relationships between ITS dimensions and communication interactions between care providers.Results-Two of the nine ITS dimensions (resident care-technological and administrative activities-technological) and Total ITS were significantly negatively correlated with number of 6. Authors Contributions: GA conceptualized study design, conducted data collection, performed data analysis, and drafted manuscript; KP conceptualized design, performed data analysis, and drafted manuscript; LS conceptualized design, performed data analysis, and drafted manuscript; BS assisted with coding methodologies, conducted data analysis and drafted manuscript; KC assisted with study design by consulting on analytic methodologies using ORA software, data analysis interpretations, and manuscript drafts. Conflicts of Interest:The authors declare that they have no conflicts of interest in the research Protection of Human and Animal Subjects:The study was reviewed and approved by the University of Missouri's Institutional Review Board before the study began. HHS Public Access Author Manuscript Author ManuscriptAuthor Manuscript Author Manuscript unique interactions. As more processes in resident care and administrative activities are supported by technology, the lower the number of observed unique interactions. Additionally, four thematic areas emerged from staff focus groups that demonstrate how important IT is to resident care in these facilities including providing resident-centered care, teamwork and collaboration, maintaining safety and quality, and using standardized information resources.Conclusion-Our findings in this study confirm prior research that as technology support (resident care and administrative activities) and overall ITS increases, observed interactions between staff members decrease. Conversations during staff interviews focused on how technology facilitated resident centered care through enhanced information sharing, greater virtual collaboration between team members, and improved care delivery. These results provide evidence for improving the design and implementation of IT in long term care systems to support communication and associated resident outcomes.

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Automap User's Guide 2013

Cited by 38 publications

References 16 publications

The Shifting Discourse of the European Central Bank: Exploring Structural Space in Semantic Networks

The Shifting Discourse of the European Central Bank: Exploring Structural Space in Semantic Networks

Mapping discursive dynamics of the financial crisis: a structural perspective of concept roles in semantic networks

Multi-disciplinary communication networks for skin risk assessment in nursing homes with high IT sophistication

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