{"id":170001,"date":"2008-11-20T06:50:18","date_gmt":"2008-11-20T06:50:18","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/nodexl-network-overview-discovery-and-exploration-in-excel\/"},"modified":"2019-08-19T10:27:55","modified_gmt":"2019-08-19T17:27:55","slug":"nodexl-network-overview-discovery-and-exploration-in-excel","status":"publish","type":"msr-project","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/nodexl-network-overview-discovery-and-exploration-in-excel\/","title":{"rendered":"NodeXL: Network Overview, Discovery and Exploration in Excel"},"content":{"rendered":"

NodeXL is a powerful and easy-to-use interactive network visualisation and analysis tool that leverages the widely available MS Excel application as the platform for representing generic graph data, performing advanced network analysis and visual exploration of networks. The tool supports multiple social network data providers that import graph data (nodes and edge lists) into the Excel spreadsheet.<\/p>\n

The tool includes an Excel template for easy manipulation of graph data:<\/p>\n

\"\"<\/p>\n

NodeXL includes a number of features, summarized in the NodeXL Chart:<\/p>\n

\"\"<\/p>\n

Research Overview<\/h2>\n
\n

The NodeXL team is conducting interdisciplinary research in the following areas:<\/p>\n\n<\/thead>\n\n\n
\n\n<\/thead>\n\n\n
\n

Network Analysis Toolkit<\/strong><\/p>\n

Tools to support the study of the social network structure, social media and other network structures<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n<\/thead>\n\n\n
\n

Sociology<\/strong><\/p>\n

“What are the structures of communication in scientific discussions?”<\/p>\n<\/td>\n

\n

User Experience:\u00a0<\/strong><\/p>\n

Information Visualization<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

“What are the best UI\/UX workflows for network analysis tools?”<\/p>\n<\/td>\n

\n

Computer Science:<\/strong><\/p>\n

\u00a0Algorithms for Network Analysis<\/strong><\/p>\n

“What are the measures and algorithms needed for understanding networks?<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Sample\u00a0networks generated with NodeXL<\/strong><\/h4>\n
\n
\n\n<\/thead>\n\n\n
\u00a0\"\"<\/span><\/td>\n\u00a0\"\"<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
<\/div>\n

Project contributers<\/strong><\/h4>\n

\"\"<\/span><\/span><\/p>\n

More information about the project can be found at http:\/\/www.codeplex.com\/\/nodexl (opens in new tab)<\/span><\/a>.<\/p>\n

Clustered Graph using Harel-Koren layout in NodeXL<\/strong><\/h4>\n

\"\"<\/p>\n<\/div>\n

\n

NodeXL ‘Group-in-a-box’ Layout of the Clustered graph<\/strong><\/p>\n

\"\"<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

NodeXL is a powerful and easy-to-use interactive network visualisation and analysis tool that leverages the widely available MS Excel application as the platform for representing generic graph data, performing advanced network analysis and visual exploration of networks. The tool supports multiple social network data providers that import graph data (nodes and edge lists) into the […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13554,13560,13559,13547],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-170001","msr-project","type-msr-project","status-publish","hentry","msr-research-area-human-computer-interaction","msr-research-area-programming-languages-software-engineering","msr-research-area-social-sciences","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2008-11-20","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170001","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":1,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170001\/revisions"}],"predecessor-version":[{"id":604221,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170001\/revisions\/604221"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=170001"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=170001"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=170001"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=170001"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=170001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}