Dynamic Network Analytics: Tutorial Outline

Network analytics are widely used in many fields. Increasingly though, the networks of interest are high dimensional. Rather than just focusing on the traditional who is interaction with whom networks, modern network analysis examines the who, what, where, when and why ecology of relations. For example, studies of organizations might look at the social network within the organization as well as the task assignment and knowledge network. Studies using Twitter frequently look at the mentions network at the same time as the hashtag network. Making network science actionable typically involves answering questions about where the network is concentrated or how the network varies over time. This tutorial will cover the basics of Network analytics and demonstrate the use of ORA to support social media analytics using high dimensional network analytics and visualization for social media networks, semantic networks, geo-spatial networks, and dynamic networks. It will cover the basics of visualizing and analyzing time varying networks and spatially positioned networks. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. ORA is a powerful network analysis and visualization tool (Carley, 2017). ORA supports the assessment of standard social network data, organizational network data, high-dimensional network data, meta-network data, geo-spatial network data, and dynamic network data.