"Hansen, Shneiderman, and Smith, along with their collaborators, have written a readable introduction to the field of social media network analysis. Furthermore, the book is a nice tutorial on an interesting tool that readers can experiment with on their own. For example, the readers can simply use the Facebook application provided by Bernie Hogan, one of the book's collaborators, to analyze the ego networks that they know best: their own network of friends, family, and acquaintances. This book offers a sure way to understand some of the basic concepts of network analysis."--Computing Reviews "This is a niche book that is also multi-discliplinary. NodeXL has involved experts in information studies, computer science, sociology, human-computer interaction and cultural studies and this book has contributions from researchers in all these fields and more. It is however highly practical and will motivate readers to use this tool for their own research."--I-Programmer.info "The authors explore the applications of Microsoft's NodeXL, a free, open-source social network analysis (SNA) plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data, drawing on over 20 years of visual analytic theory and information visualization."--Usability NewsVom Verlag:
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 to 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. It walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA. It demonstrates how visual analytics research can be applied to SNA tools for the mass market. It presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, and wikis.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Buchbeschreibung Elsevier Science & Technology Sep 2010, 2010. Taschenbuch. Buchzustand: Neu. 276x215x15 mm. Neuware - Social network analysis (SNA) tools provide graphical representations of relations, links, and trends of complex information contained in networked software, the internet, and mobile devices. The visualizations are used for evaluation, comparison, and analysis of data--used, for example, by businesses to analyze buying patterns, individuals to analyze social network traffic, and governments to analyze crime trends. NodeXL is a free, open-source SNA tool developed by Microsoft for use with Excel. It applies 20+ years of visual analytic theory and information visualization into a simple tool anyone can use. Not only its application but its development are of interest to HCI researchers. Ben Shneiderman, a pioneer in HCI, developed this tool. In this book, he and others from the development team provide not only an in-depth practical guide on how to best use the tool, but also explain the theory behind it. Although the 'how' applies directly to NodeXL, the theory is of use to anyone involved with visual analytics and information visualization. 304 pp. Deutsch. Artikel-Nr. 9780123822291