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However, the increasing availability of longitudinal network data has spurred interest in visualization techniques that go beyond the static node\u2010link representation of a network. In temporal settings, the focus is on the network dynamics at different levels of analysis (e.g. node, communities and whole network). Yet, the development of visualizations that are able to provide actionable insights into different types of changes occurring in the network and their impact on both the neighbourhood and the overall network structure is a challenging task. In such settings, traditional node\u2010link representations can prove to be limited (Yi et al., 2010). Alternative methods, such as matrix graph representations, fail in tasks involving path finding (Ghoniem et al., 2005). This work attempts to overcome these issues by proposing a methodology for tracking the evolution of dynamic social networks, at both the node\u2010level and the community\u2010level, based on the concept of temporal trajectory. We resort to three\u2010order tensors to represent evolving social networks, and we further decompose them using a Tucker3 model. The two most representative components of this model define the 2D space where the trajectories of social entities are projected. To illustrate the proposed methodology, we conduct a case study using a set of temporal self\u2010reported friendship networks.<\/jats:p>","DOI":"10.1111\/exsy.12028","type":"journal-article","created":{"date-parts":[[2013,5,7]],"date-time":"2013-05-07T04:20:14Z","timestamp":1367900414000},"page":"306-319","source":"Crossref","is-referenced-by-count":4,"title":["Visualization of evolving social networks using actor\u2010level and community\u2010level trajectories"],"prefix":"10.1111","volume":"30","author":[{"given":"M\u00e1rcia","family":"Oliveira","sequence":"first","affiliation":[{"name":"FEP, School of Economics and Business University of Porto  Rua Dr. Roberto Frias 4200\u2010464 Porto Portugal"},{"name":"LIAAD\/INESC TEC  Rua Dr. Roberto Frias 4200\u2010465 Porto Portugal"}]},{"given":"Jo\u00e3o","family":"Gama","sequence":"additional","affiliation":[{"name":"FEP, School of Economics and Business University of Porto  Rua Dr. Roberto Frias 4200\u2010464 Porto Portugal"},{"name":"LIAAD\/INESC TEC  Rua Dr. Roberto Frias 4200\u2010465 Porto Portugal"}]}],"member":"311","published-online":{"date-parts":[[2013,5,6]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.112"},{"key":"e_1_2_9_3_1","unstructured":"Ahn J.\u2010w. 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