(VC) is a unified resource space for anyone interested in the visualization of complex networks. With over 600 projects, the goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web.

This talk will leverage the existing pool of knowledge from VC to convey a current portrait of network visualization. It will illustrate some of its current trends and representation methods, and explore the reasons behind the recent outburst. It will highlight some seminal executions and finalize with the exaltation of interactivity as the key measure of cognition in Information Visualization, by presenting a series of interaction design principles for exploring complex networks.

Manuel Lima is an interaction designer, researcher and founder of He holds a BFA in Industrial Design and a MFA in Design+Technology from Parsons School of Design, New York.

During the course of the MFA program Manuel worked for Siemens Corporate Research Center, the American Museum of Moving Image and Parsons Institute for Information Mapping in research projects for the National Geo-Spatial Intelligence Agency.


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