{"id":3602,"date":"2019-07-19T19:55:13","date_gmt":"2019-07-19T19:55:13","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=3602"},"modified":"2019-07-19T19:55:13","modified_gmt":"2019-07-19T19:55:13","slug":"week-9-network-visualization-insights-final-summary-report","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/citation-dataone\/week-9-network-visualization-insights-final-summary-report\/","title":{"rendered":"Week 9: Network Visualization Insights & Final Summary Report"},"content":{"rendered":"\n

Hello!<\/p>\n\n\n\n

This week I had the chance to explore a bit more with Gephi, derive some insights, explore referrer traffic from Google Analytics, start writing my final summary report, and scrape data from the web.<\/p>\n\n\n\n

Additional Gephi Visualizations and Insights<\/strong><\/p>\n\n\n\n

I added some additional attributes to the network map, one of which was Publication Title Subject Area. This allowed me to look at the types of journals both DataONE articles are published in as well as their citing articles. The visual below is the full network color coded by publication title subject area, sized by impact score 2, and grouped\/connected by shared citing articles. There are 2 main clusters indicating two main domains of knowledge and the dual nature of the DataONE articles being published. The majority are published in Life Sciences & Biomedicine (pink) and Technology (green) journals. Blue represents the social sciences field which is scattered throughout the network indicating some crossover into other research areas. Brown represents multidisciplinary sciences journals but the articles tend to be focused on Life Sciences & Biomedicine. Articles from the Physical Sciences (orange) and the Arts & Humanities (dark pink) journals are scarce and don\u2019t seem to yield significant contribution to the clustering and the main network. <\/p>\n\n\n\n

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Within the set of cited articles there are clearly 5-10 that have a larger impact and dominant contribution in the field. These articles could serve as gatekeeprs to other DataONE articles since they share the most citations with other articles (i.e., the nodes that have the most connections). The articles with the highest impact score are listed below:<\/p>\n\n\n\n