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The approach clusters nodes in the heat map by similar metric values rather than topology, and aligns nodes by temporal events. Comparative analysis against existing systems is presented alongside a formative evaluation with four participants, emphasizing tooltips and coordinated views. Despite usability issues, participants uncovered new dataset insights within 30–40 minutes, and an extended case study validates clustered heat maps for outliers and time-period discovery.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/netvisia-heat-map-matrix-visualization-of-dynamic-social-network-statistics-content/657216/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/netvisia-heat-map-matrix-visualization-of-dynamic-social-network-statistics-content/657216.png","ImageObject",300,407,{"name":92,"@type":93},"supergirl","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-26",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does NetVisia address in visualizing dynamic social networks?","Question",{"text":112,"@type":113},"It focuses on how to present evolution of nodes over time more effectively than standard node-link diagrams, which do not show all time slices simultaneously.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What are NetVisia’s key visualization contributions?",{"text":117,"@type":113},"It introduces heat maps clustered by similar metric values and aligns nodes by temporal events, enabling users to explore attribute changes over time.",{"name":119,"@type":110,"acceptedAnswer":120},"How was NetVisia evaluated and what were the results?",{"text":121,"@type":113},"A formative evaluation with four participants used insight-based and timed tasks. Even with usability issues, participants discovered new insights in 30–40 minutes and improvements were discussed afterward.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},657216,1793146921,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":46},962088121634,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing  \nNetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content  \nRobert Gove§†, Nick Gramsky§ , Rose Kirby§ , Emre Sefer§ , Awalin Sopan§†, Cody Dunne§†, Ben Shneiderman§† and  \nMeirav Taieb-Maimon†‡∗  \n§ Department of Computer Science, †Human-Computer Interaction Lab  \nUniversity of Maryland, College Park, MD, USA  \n‡Ben-Gurion University of the Negev, Beer-Sheva, Israel  \n{rpgove, ngramsky, rkirby, esefer, awalin, cdunne, [ben](ben}@cs.umd.edu)[}](ben}@cs.umd.edu)[@cs.umd.edu](ben}@cs.umd.edu), [meiravta@bgu.ac.il](meiravta@bgu.ac.il)  \nAbstract—Visualizations of static networks in the form of node-link diagrams have evolved rapidly, though researchers are still grappling with how best to show evolution of nodes over time in these diagrams. This paper introduces NetVisia, asocial network visualization system designed to support users in exploring temporal evolution in networks by using heat maps to display node attribute changes over time. NetVisia’s novel contributions to network visualizations are to (1) cluster nodes in the heat map by similar metric values instead of by topological similarity, and (2) align nodes in the heat map by events. We compare NetVisia to existing systems and describe a formative user evaluation of a NetVisia prototype with four participants that emphasized the need for tooltips and coordinated views. Despite the presence of some usability issues, in 30-40 minutes the user evaluation participants discovered new insights about the data set which had not been discovered using other systems. We discuss implemented improvements to NetVisia, and analyze a co-occurrence network of 228 business intelligence conceptsand entities. This analysis confirms the utility of a clustered heat map to discover outlier nodes and time periods.  \nKeywords-Dynamic networks; information visualization; network evolution; network visualization; social networks; user interfaces  \nI. INTRODUCTION  \nIn recent years, visualization techniques for the analysis of network evolution have lagged behind the rapid growth of social media and electronic databases. Few tools currently exist for the visualization of networks that change over time, often termed “dynamic” or “temporal” networks. Researchers are interested in questions about metrics that measure different statistical elements about networks. Potential questions include: Which people have been in a social network for the longest time? For any given time period, who was connected to the most other people? Who were the most connected people in their third year after being added to the network? Analysis of temporal network evolution could yield important insights about the world’s increasingly ubiquitous networks.  \nTypical approaches to visualizing temporal evolution involve node-link diagrams that morph or change as the state of the network varies over a period of time. Other researchers have tried a matrix visualization approach, which can show  \nnetwork metrics explicitly. However, these solutions alone are ∗ Corresponding author.  \n978-0-7695-4578-3/11 $26.00 © 2011 IEEE DOI  \nnot adequate for answering all types of questions regarding temporal changes to network metrics as they do not show all time slices simultaneously.  \nThis paper introduces NetVisia, a novel system using heat maps and matrices to visualize network node attributes overtime. NetVisia’s main contributions are heat maps that can be clustered according to node attributes and aligned by temporal events. Section IV describes a formative user evaluation with four participants who performed an insight-based exploration task and two timed tasks. Overall, participants were able to use NetVisia to discover insights about social network data despite some usability problems. Section V further demonstrates NetVisia’s utility in a case study analyzing a business co","cbCaipDrubzwE5YH","https://ap.wps.com/l/cbCaipDrubzwE5YH","pdf",700118,"English","# I. Introduction\n# II. Related Work","[{\"question\":\"What problem does NetVisia address in visualizing dynamic social networks?\",\"answer\":\"It focuses on how to present evolution of nodes over time more effectively than standard node-link diagrams, which do not show all time slices simultaneously.\"},{\"question\":\"What are NetVisia’s key visualization contributions?\",\"answer\":\"It introduces heat maps clustered by similar metric values and aligns nodes by temporal events, enabling users to explore attribute changes over time.\"},{\"question\":\"How was NetVisia evaluated and what were the results?\",\"answer\":\"A formative evaluation with four participants used insight-based and timed tasks. Even with usability issues, participants discovered new insights in 30–40 minutes and improvements were discussed afterward.\"}]","NetVisia - Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content | PDF",1792975850]