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Analyzing social media networks with...

Hansen, Derek L.{me_controlnum}

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Analyzing social media networks with NodeXL = insights from a connected world /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analyzing social media networks with NodeXL/ Derek L. Hansen, Ben Schneiderman, Marc A. Smith.
其他題名:	insights from a connected world /
作者:	Hansen, Derek L.{me_controlnum}
其他作者:	Schneiderman, Ben.
出版者:	Amsterdam ;M. Kaufmann, : c2010.,
面頁冊數:	1 online resource.
內容註:	I. Getting Started with Analyzing Social Media Networks -- Introduction to Social Media and Social Networks -- Social media: New Technologies of Collaboration -- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections -- II. NodeXL Tutorial: Learning by Doing -- 4. Getting Started with NodeXL, Layout, Visual Design, and Labeling -- 5. Calculating and Visualizing Network Metrics� -- 6. Preparing Data and Filtering -- 7. Clustering and Grouping -- III Social Media Network Analysis Case Studies -- 8. Email: The Lifeblood of Modern Communication -- 9. Thread Networks: Mapping Message Boards and Email Lists -- 10. Twitter: Conversation, �Entertainment, And Information, All in One Network!�- Scott Golder, Cornell University, Vladimir Barash, Cornell University -- 11. Visualizing and Interpreting Facebook Networks�- Bernie Hogan, Oxford Internet Institute -- 12. WWW Hyperlink Networks�- Robert Ackland, ANU -- 13. Flickr: Linking People, Photos, and Tags�- Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research -- 14. YouTube: Contrasting Patterns�of Interaction and Prominence�- Dana Rotman and Jennifer Golbeck -- 15. Wiki Networks: Connections of Creativity and Collaboration�- Ted Welser, University of Maryland, Derek Hansen, University of Maryland -- Appendix- NodeXL for Programmers- Tony Capone.
標題:	Data mining - Computer programs. -
電子資源:	http://www.sciencedirect.com/science/book/9780123822291
ISBN:	9780123822291

Analyzing social media networks with NodeXL = insights from a connected world /
Hansen, Derek L.{me_controlnum}

Analyzing social media networks with NodeXLinsights from a connected world /[electronic resource] :Derek L. Hansen, Ben Schneiderman, Marc A. Smith. - Amsterdam ;M. Kaufmann,c2010. - 1 online resource.

Includes bibliographical references and index.

I. Getting Started with Analyzing Social Media Networks -- Introduction to Social Media and Social Networks -- Social media: New Technologies of Collaboration -- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections -- II. NodeXL Tutorial: Learning by Doing -- 4. Getting Started with NodeXL, Layout, Visual Design, and Labeling -- 5. Calculating and Visualizing Network Metrics� -- 6. Preparing Data and Filtering -- 7. Clustering and Grouping -- III Social Media Network Analysis Case Studies -- 8. Email: The Lifeblood of Modern Communication -- 9. Thread Networks: Mapping Message Boards and Email Lists -- 10. Twitter: Conversation, �Entertainment, And Information, All in One Network!�- Scott Golder, Cornell University, Vladimir Barash, Cornell University -- 11. Visualizing and Interpreting Facebook Networks�- Bernie Hogan, Oxford Internet Institute -- 12. WWW Hyperlink Networks�- Robert Ackland, ANU -- 13. Flickr: Linking People, Photos, and Tags�- Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research -- 14. YouTube: Contrasting Patterns�of Interaction and Prominence�- Dana Rotman and Jennifer Golbeck -- 15. Wiki Networks: Connections of Creativity and Collaboration�- Ted Welser, University of Maryland, Derek Hansen, University of Maryland -- Appendix- NodeXL for Programmers- Tony Capone.

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA. *Walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that�can�apply any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, and wikis.

ISBN: 9780123822291

Source: 1098372:10926421Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Uniform Titles:

NodeXL.
Subjects--Topical Terms:

812286
Data mining
--Computer programs.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.9.D343 / .H45 2010

Dewey Class. No.: 006.7/54

Analyzing social media networks with NodeXL = insights from a connected world /
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245 1 0 $a Analyzing social media networks with NodeXL $h [electronic resource] : $b insights from a connected world / $c Derek L. Hansen, Ben Schneiderman, Marc A. Smith.
260 $a Amsterdam ; $a Boston : $b M. Kaufmann, $c c2010.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a I. Getting Started with Analyzing Social Media Networks -- Introduction to Social Media and Social Networks -- Social media: New Technologies of Collaboration -- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections -- II. NodeXL Tutorial: Learning by Doing -- 4. Getting Started with NodeXL, Layout, Visual Design, and Labeling -- 5. Calculating and Visualizing Network Metrics� -- 6. Preparing Data and Filtering -- 7. Clustering and Grouping -- III Social Media Network Analysis Case Studies -- 8. Email: The Lifeblood of Modern Communication -- 9. Thread Networks: Mapping Message Boards and Email Lists -- 10. Twitter: Conversation, �Entertainment, And Information, All in One Network!�- Scott Golder, Cornell University, Vladimir Barash, Cornell University -- 11. Visualizing and Interpreting Facebook Networks�- Bernie Hogan, Oxford Internet Institute -- 12. WWW Hyperlink Networks�- Robert Ackland, ANU -- 13. Flickr: Linking People, Photos, and Tags�- Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research -- 14. YouTube: Contrasting Patterns�of Interaction and Prominence�- Dana Rotman and Jennifer Golbeck -- 15. Wiki Networks: Connections of Creativity and Collaboration�- Ted Welser, University of Maryland, Derek Hansen, University of Maryland -- Appendix- NodeXL for Programmers- Tony Capone.
520 $a Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA. *Walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that�can�apply any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, and wikis.
588 $a Description based on print version record.
630 0 0 $a NodeXL. $3 1374880
650 0 $a Data mining $x Computer programs. $3 812286
650 0 $a Information visualization $x Computer programs. $3 1374878
650 0 $a Webometrics $x Computer programs. $3 1374879
650 0 $a Online social networks. $3 624374
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Schneiderman, Ben. $3 1374877
700 1 $a Smith, Marc A., $d 1965- $3 706691
776 0 8 $i Print version: $a Hansen, Derek L. $t Analyzing social media networks with NodeXL. $d Amsterdam ; Boston : M. Kaufmann, c2010 $z 9780123822291 $z 0123822297 $w (DLC) 2010019806 $w (OCoLC)633138911
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123822291
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