TY - BOOK T1 - Analyzing Social Media Networks with NodeXL Y1 - 2010 A1 - Hansen,Derek A1 - Shneiderman, Ben A1 - Smith,Marc A. KW - Business & Economics / Marketing / Research KW - Computers / Computer Science KW - Computers / Data Processing KW - Computers / Database Management / Data Mining KW - Computers / General KW - Computers / Information Theory KW - Computers / Interactive & Multimedia KW - Computers / Social Aspects / General KW - Computers / Social Aspects / Human-Computer Interaction KW - Computers / User Interfaces KW - data mining KW - Data mining - Computer programs KW - Data mining/ Computer programs KW - Information Visualization KW - Information visualization - Computer programs KW - Information visualization/ Computer programs KW - NodeXL KW - online social networks KW - Social Science / General KW - Social Science / Reference KW - Social Science / Sociology / General KW - Technology & Engineering / General KW - Technology & Engineering / Social Aspects KW - Webometrics KW - Webometrics - Computer programs KW - Webometrics/ Computer programs AB - "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. PB - Morgan Kaufmann SN - 9780123822291 ER - TY - BOOK T1 - Video Mining Y1 - 2003 A1 - Rosenfeld,Azriel A1 - David Doermann A1 - DeMenthon,Daniel KW - Computers / Client-Server Computing KW - Computers / Computer Science KW - Computers / Database Management / Data Mining KW - Computers / Database Management / General KW - Computers / Information Technology KW - Computers / Information Theory KW - Computers / Intelligence (AI) & Semantics KW - Computers / Interactive & Multimedia KW - Computers / Networking / General KW - Computers / Security / Cryptography KW - data mining KW - Data mining/ Congresses KW - Mathematics / General KW - Medical / General KW - multimedia systems KW - Multimedia systems/ Congresses KW - Technology & Engineering / Electrical KW - Technology & Engineering / Telecommunications AB - Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines.Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data.Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume.Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios' multimedia asset management systems, and in video-on-demand systems. PB - Springer SN - 9781402075490 ER -