Social network visualization from TEI data.
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| Title: | Social network visualization from TEI data. |
|---|---|
| Authors: | Bingenheimer, Marcus1 m.bingenheimer@gmail.com, Hung, Jen-Jou1, Wiles, Simon1 |
| Source: | Literary & Linguistic Computing. Sep2011, Vol. 26 Issue 3, p271-278. 8p. 4 Diagrams. |
| Subjects: | Social networks, Text Encoding Initiative (Document type definition), Software architecture, Application software, Computer systems |
| Abstract: | The focus of this article is a system for visualizing social network data derived from a TEI-encoded corpus of texts. It describes the collection of biographies of historical Chinese Buddhist monks, which constitutes this corpus and the TEI markup, in particular the innovative concept of a ‘nexus-point’ that was originally applied to them with the goal of producing GIS-like visualizations [see Bingenheimer, M., Hung, J.-J., and Wiles, S. (2009). Markup meets GIS - Visualizing the ‘Biographies of Eminent Buddhist Monks’. In Banissi, E. et al. (eds), Proceedings of Information Visualization IV 2009. IEEE Computer Society: 550–4.]. Over the course of this work, it became clear that a data set of nexus-points could be derived from this markup which would support a representation of the social network which can be inferred from the corpus. The nature of this social network is explored and some interesting preliminary applications are suggested. The software architecture which supports the visualization, based on the Prefuse toolkit, is introduced. Finally, the scope for the future development of the corpus and the system are discussed, and some avenues for potentially fruitful analysis are suggested. Throughout the article, it is argued that the methods and techniques employed here are applicable well beyond the present context. In describing this project of social network visualization, it is demonstrated that a well-marked-up TEI corpus can, with very little additional technical overhead and using the same markup, serve as the basis for multiple representations of the same data. [ABSTRACT FROM AUTHOR] |
| Copyright of Literary & Linguistic Computing is the property of Oxford University Press / USA 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: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 64854176 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Social network visualization from TEI data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bingenheimer%2C+Marcus%22">Bingenheimer, Marcus</searchLink><relatesTo>1</relatesTo><i> m.bingenheimer@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Hung%2C+Jen-Jou%22">Hung, Jen-Jou</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wiles%2C+Simon%22">Wiles, Simon</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Literary+%26+Linguistic+Computing%22">Literary & Linguistic Computing</searchLink>. Sep2011, Vol. 26 Issue 3, p271-278. 8p. 4 Diagrams. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Text+Encoding+Initiative+%28Document+type+definition%29%22">Text Encoding Initiative (Document type definition)</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The focus of this article is a system for visualizing social network data derived from a TEI-encoded corpus of texts. It describes the collection of biographies of historical Chinese Buddhist monks, which constitutes this corpus and the TEI markup, in particular the innovative concept of a ‘nexus-point’ that was originally applied to them with the goal of producing GIS-like visualizations [see Bingenheimer, M., Hung, J.-J., and Wiles, S. (2009). Markup meets GIS - Visualizing the ‘Biographies of Eminent Buddhist Monks’. In Banissi, E. et al. (eds), Proceedings of Information Visualization IV 2009. IEEE Computer Society: 550–4.]. Over the course of this work, it became clear that a data set of nexus-points could be derived from this markup which would support a representation of the social network which can be inferred from the corpus. The nature of this social network is explored and some interesting preliminary applications are suggested. The software architecture which supports the visualization, based on the Prefuse toolkit, is introduced. Finally, the scope for the future development of the corpus and the system are discussed, and some avenues for potentially fruitful analysis are suggested. Throughout the article, it is argued that the methods and techniques employed here are applicable well beyond the present context. In describing this project of social network visualization, it is demonstrated that a well-marked-up TEI corpus can, with very little additional technical overhead and using the same markup, serve as the basis for multiple representations of the same data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Literary & Linguistic Computing is the property of Oxford University Press / USA 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/llc/fqr020 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 271 Subjects: – SubjectFull: Social networks Type: general – SubjectFull: Text Encoding Initiative (Document type definition) Type: general – SubjectFull: Software architecture Type: general – SubjectFull: Application software Type: general – SubjectFull: Computer systems Type: general Titles: – TitleFull: Social network visualization from TEI data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bingenheimer, Marcus – PersonEntity: Name: NameFull: Hung, Jen-Jou – PersonEntity: Name: NameFull: Wiles, Simon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 02681145 Numbering: – Type: volume Value: 26 – Type: issue Value: 3 Titles: – TitleFull: Literary & Linguistic Computing Type: main |
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