Save the Small World: Exploring a Simulation-Based Approach to Teaching Social Network Analysis in Intelligence Studies.
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| Title: | Save the Small World: Exploring a Simulation-Based Approach to Teaching Social Network Analysis in Intelligence Studies. |
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| Authors: | Cobb, Matthew R.1 mcobb1@coastal.edu |
| Source: | Journal of Political Science Education. Jan-Mar2026, Vol. 22 Issue 1, p179-194. 16p. |
| Subject Terms: | *Simulation games in education, *Effective teaching, *Intellect, *Educational technology, Social network analysis |
| Abstract: | This study investigates the effectiveness of simulations as an educational tool in intelligence studies, specifically in the context of social network analysis. In a class on social network analysis designed for students of intelligence and security studies, the researcher implemented simulation exercises in which students played the role of intelligence analysts working for the government of a fictional country, tasked with analyzing mock intelligence reports to map out networks of actors involved in illicit activities. The simulation consisted of two scenarios relating to separate security threats: first, the proliferation of weapons of mass destruction, and second, international terrorism. A survey and a focus group discussion assessed students' perceptions of the simulations' effectiveness. The analysis focuses on whether simulation exercises significantly enhance students' perceived understanding of social network analytic techniques and their confidence in applying them to "real-world" situations. Results show that the students found the simulation to improve on both counts meaningfully and that participating in the simulation increases their enthusiasm for the subject matter and provides a sense of accomplishment. Some students struggled with the teamwork required of the simulations but nevertheless found the simulation pedagogically effective and a strong complement to traditional learning activities. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Political Science Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 191102547 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Save the Small World: Exploring a Simulation-Based Approach to Teaching Social Network Analysis in Intelligence Studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cobb%2C+Matthew+R%2E%22">Cobb, Matthew R.</searchLink><relatesTo>1</relatesTo><i> mcobb1@coastal.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Political+Science+Education%22">Journal of Political Science Education</searchLink>. Jan-Mar2026, Vol. 22 Issue 1, p179-194. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Simulation+games+in+education%22">Simulation games in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Effective+teaching%22">Effective teaching</searchLink><br />*<searchLink fieldCode="DE" term="%22Intellect%22">Intellect</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Social+network+analysis%22">Social network analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study investigates the effectiveness of simulations as an educational tool in intelligence studies, specifically in the context of social network analysis. In a class on social network analysis designed for students of intelligence and security studies, the researcher implemented simulation exercises in which students played the role of intelligence analysts working for the government of a fictional country, tasked with analyzing mock intelligence reports to map out networks of actors involved in illicit activities. The simulation consisted of two scenarios relating to separate security threats: first, the proliferation of weapons of mass destruction, and second, international terrorism. A survey and a focus group discussion assessed students' perceptions of the simulations' effectiveness. The analysis focuses on whether simulation exercises significantly enhance students' perceived understanding of social network analytic techniques and their confidence in applying them to "real-world" situations. Results show that the students found the simulation to improve on both counts meaningfully and that participating in the simulation increases their enthusiasm for the subject matter and provides a sense of accomplishment. Some students struggled with the teamwork required of the simulations but nevertheless found the simulation pedagogically effective and a strong complement to traditional learning activities. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Political Science Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191102547 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15512169.2025.2533259 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 179 Subjects: – SubjectFull: Simulation games in education Type: general – SubjectFull: Effective teaching Type: general – SubjectFull: Intellect Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Social network analysis Type: general Titles: – TitleFull: Save the Small World: Exploring a Simulation-Based Approach to Teaching Social Network Analysis in Intelligence Studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cobb, Matthew R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan-Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15512169 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Journal of Political Science Education Type: main |
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