Abstract
This case illustrates the use of mixed methods for analyzing structure, content, and sentiment of a city council task force appointed to guide the city (note, “the city’s” name remains anonymous as per research agreement) in updating their oil and gas drilling ordinance. The novel method approach integrates linguistic conversation analysis and social network influence to analyze the interactions among stakeholders over time as they occur both inside and outside formal meetings. The case study also represents a practical example of conducting e-Research where a small team of four researchers shared a cloud-based PC as a collaborative space for cost efficiency and data sharing and as an educational tool for team members working across mixed PC and Mac operating systems.
Although this research is a single case study of one community, the data sources and methods can be scaled to include multiple communities or a larger geographic area that could include a county, state, region, or an entire country. The authors identify traditional methods that can take advantage of data analytics enabled by new technologies.
This research was sponsored by the US National Science Foundation (NSF), EAGER Grant # BCS-1408169. https://www.nsf.gov/awardsearch/showAward?AWD_ID=1408169&HistoricalAwards=false. Last accessed on May 24, 2018.
EAGER: Integrating the Analysis of Decision-Making in Meetings with the Analysis of Network Interactions in the Study of Environmental Governance. 2014. Award Number:1408169.
https://www.nsf.gov/pubs/policydocs/pappg18_1/pappg_2.jsp#IIE2
Last accessed on May 24, 2018.
Note: EAGER means EArly-concept Grants for Exploratory Research.
EAGER is a type of NSF proposal used to support exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. This work may be considered especially “high risk-high payoff” in the sense that it, for example, involves radically different approaches, applies new expertise, or engages novel disciplinary or interdisciplinary perspectives.
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- 1.
Documentation: Collecting Email for Automated Network Analysis
There were three ways that we collected email for network analysis using Condor (available at http://guardian.galaxyadvisors.com/) and to export data to other network analysis programs:
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(a)
Using the Condor network analysis software itself to gather email from a web server, for example, Yahoo or Gmail programs
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(b)
Locating a Microsoft Outlook.pst file on a hard drive and converting it for analysis using Condor
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(c)
Obtaining email in another type of software program, such as Winmail that was built into the Windows Vista operating system
1. Condor and Collecting Email
The Condor software program has a mail collector built into it which allowed for retrieving email that is stored on an IMAP or POP server. To retrieve email using Condor, there are basic steps:
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(a)
Open the Fetch Mail function in Condor.
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(b)
Complete the mail form. It is possible to collect just structure (from-to) or both structure and content.
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(c)
Once the “start” is clicked, authentication to the mail server is accomplished, and mailboxes can be selected for download into Condor. It might take a while to download the mail if there are thousands of emails. See the instructional video available on YouTube at: http://youtu.be/BFo57cz9Jx0.
2. Collecting Email from Outlook on a PC
There are multiple versions of Outlook. They all use.pst files. The goal was to archive a.pst of the email and then move it to a USB drive.
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(a)
Create a new.pst (e.g., Name_EAGER.pst).
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(b)
Create a new folder to save the email in the new.pst.
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(c)
Search for emails in Outlook using keywords or just by scrolling through the email box on Outlook. Ideally there is a specific folder (Inbox, Sent, Project), and it is possible to copy the contents of the folder to the newly created.pst.
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(d)
Use Windows Explorer to copy the new.pst to a USB drive.
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(e)
Note: Condor does not analyze any attachments to email, only the email itself.
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(f)
Convert the Outlook.pst emails to a Eudora format that Condor will analyze. For more information about saving data to.pst files, see http://office.microsoft.com/en-us/outlook-help/create-an-outlook-data-file-pst-to-save-your-information-HA010355677.aspx.
3. Collecting Email from a Winmail Program on a PC Running Vista on Older PCs, Which Is Often the Case in Small Community Governments
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(a)
Open Winmail, and locate the mailbox(es) with the email to be collected for analysis.
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(b)
Create a new folder on the PC’s desktop to store the emails that will be copied for analysis.
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(c)
Scroll through the emails in the Winmail folders, and copy each of the relevant emails into the new desktop folder simply using the “copy” and “paste” commands. The emails will have the extension.eml. Copy the desktop folder to a USB drive.
On another PC with Winmail installed and running Microsoft Outlook, copy the folder from the USB drive to the PC’s desktop. Using the import functions, import the emails first into Winmail and then from Winmail into Outlook. Then follow the steps to collect email from Outlook in item number 2 above.
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(a)
- 2.
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Gluesing, J.C., Riopelle, K., Wasson, C. (2019). Building Shared Environmental Governance for the Future: The Case of a Community COIN. In: Song, Y., Grippa, F., Gloor, P.A., Leitão, J. (eds) Collaborative Innovation Networks. Studies on Entrepreneurship, Structural Change and Industrial Dynamics. Springer, Cham. https://doi.org/10.1007/978-3-030-17238-1_8
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