%0 Conference Paper %B 2011 44th Hawaii International Conference on System Sciences (HICSS) %D 2011 %T EventGraphs: Charting Collections of Conference Connections %A Hansen,D. %A Smith,M. A %A Shneiderman, Ben %K conference connections %K Conferences %K Data visualization %K EventGraphs %K hashtag %K measurement %K Media %K message identification %K multimedia computing %K NodeXL %K Real time systems %K social media network diagrams %K social networking (online) %K Twitter %X EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes different types, and shows how the social media network analysis add-in NodeXL supports their creation and analysis. The structural patterns to look for in EventGraphs are highlighted and design ideas for their improvement are discussed. %B 2011 44th Hawaii International Conference on System Sciences (HICSS) %I IEEE %P 1 - 10 %8 2011/01/04/7 %@ 978-1-4244-9618-1 %G eng %R 10.1109/HICSS.2011.196 %0 Book %D 2010 %T Analyzing Social Media Networks with NodeXL %A Hansen,Derek %A Shneiderman, Ben %A Smith,Marc A. %K Business & Economics / Marketing / Research %K Computers / Computer Science %K Computers / Data Processing %K Computers / Database Management / Data Mining %K Computers / General %K Computers / Information Theory %K Computers / Interactive & Multimedia %K Computers / Social Aspects / General %K Computers / Social Aspects / Human-Computer Interaction %K Computers / User Interfaces %K data mining %K Data mining - Computer programs %K Data mining/ Computer programs %K Information Visualization %K Information visualization - Computer programs %K Information visualization/ Computer programs %K NodeXL %K online social networks %K Social Science / General %K Social Science / Reference %K Social Science / Sociology / General %K Technology & Engineering / General %K Technology & Engineering / Social Aspects %K Webometrics %K Webometrics - Computer programs %K Webometrics/ Computer programs %X "Analyzing Social Media Networks with NodeXL provides a much needed resource for the social media research community, as it describes network theory, provides compelling examples using data sources like Twitter and Flickr, and highlights how to use a free sophisticated tool for analysis. This is the perfect book for anyone trying to analyze the behavior of online social networks and beyond." ---Adam Perer, Research Scientist, IBM Research "This book provides a basic introduction to social network analysis, followed by practical instruction and examples on gathering data from online sources, importing into Excel, and then analyzing the data through Excel. The book will be important for promoting research in the area for those in information science, sociology, cultural studies, virtual community, and e-commerce."---Caroline Haythornthwaite, PhD, Professor, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign 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. %I Morgan Kaufmann %8 2010/08/27/ %@ 9780123822291 %G eng %0 Conference Paper %B International Conference on Computational Science and Engineering, 2009. CSE '09 %D 2009 %T First Steps to Netviz Nirvana: Evaluating Social Network Analysis with NodeXL %A Bonsignore,E. M %A Dunne,C. %A Rotman,D. %A Smith,M. %A Capone,T. %A Hansen,D. L %A Shneiderman, Ben %K Computer science %K computer science education %K data visualisation %K Data visualization %K Educational institutions %K graph drawing %K graph layout algorithm %K Information services %K Information Visualization %K Internet %K Libraries %K Microsoft Excel open-source template %K MILC %K multi-dimensional in-depth long-term case studies %K Netviz Nirvana %K NodeXL %K Open source software %K Programming profession %K SNA %K social network analysis %K Social network services %K social networking (online) %K spreadsheet programs %K structural relationship %K teaching %K visual analytics %K visualization tool %K Web sites %X Social Network Analysis (SNA) has evolved as a popular, standard method for modeling meaningful, often hidden structural relationships in communities. Existing SNA tools often involve extensive pre-processing or intensive programming skills that can challenge practitioners and students alike. NodeXL, an open-source template for Microsoft Excel, integrates a library of common network metrics and graph layout algorithms within the familiar spreadsheet format, offering a potentially low-barrier-to-entry framework for teaching and learning SNA. We present the preliminary findings of 2 user studies of 21 graduate students who engaged in SNA using NodeXL. The majority of students, while information professionals, had little technical background or experience with SNA techniques. Six of the participants had more technical backgrounds and were chosen specifically for their experience with graph drawing and information visualization. Our primary objectives were (1) to evaluate NodeXL as an SNA tool for a broad base of users and (2) to explore methods for teaching SNA. Our complementary dual case-study format demonstrates the usability of NodeXL for a diverse set of users, and significantly, the power of a tightly integrated metrics/visualization tool to spark insight and facilitate sense-making for students of SNA. %B International Conference on Computational Science and Engineering, 2009. CSE '09 %I IEEE %V 4 %P 332 - 339 %8 2009/08/29/31 %@ 978-1-4244-5334-4 %G eng %R 10.1109/CSE.2009.120