Asymmetric Relations in Longitudinal Social Networks

In modeling and analysis of longitudinal social networks, visual exploration is used in particular to complement and inform other methods. The most common graphical representations for this purpose appear to be animations and small multiples of intermediate states, depending on the type of media available. We present an alternative approach based on matrix representation of gestaltlines (a combination of Tufte's sparklines with glyphs based on gestalt theory). As a result, we obtain static, compact, yet data-rich diagrams that support specifically the exploration of evolving dyadic relations and persistent group structure, although at the expense of cross-sectional network views and indirect linkages.

[1]  Daniel A. Keim,et al.  Designing Pixel-Oriented Visualization Techniques: Theory and Applications , 2000, IEEE Trans. Vis. Comput. Graph..

[2]  Ben Shneiderman,et al.  Balancing Systematic and Flexible Exploration of Social Networks , 2006, IEEE Transactions on Visualization and Computer Graphics.

[3]  Ulrik Brandes,et al.  Exploratory Network Visualization: Simultaneous Display of Actor Status and Connections , 2001, J. Soc. Struct..

[4]  M. Wertheimer.  Untersuchungen zur Lehre von der Gestalt. II , 1923 .

[5]  Christoph Schlieder,et al.  Pixel-Oriented Visualization of Change in Social Networks , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

[6]  Ulrik Brandes,et al.  Explanation Through Network Visualization , 2006 .

[7]  Ulrik Brandes,et al.  A Bayesian Paradigm for Dynamic Graph Layout , 1997, GD.

[8]  S. Boorman,et al.  Social structure from multiple networks: I , 1976 .

[9]  Jean-Daniel Fekete,et al.  VISEXP: Visualizing Constraint Solver Dynamics Using Explanations , 2004, FLAIRS.

[10]  Jarke J. van Wijk,et al.  A user study on visualizing directed edges in graphs , 2009, CHI.

[11]  Martina Morris,et al.  Overview of Network Survey Designs , 2004 .

[12]  David H. Laidlaw,et al.  Thoughts on User Studies: Why, How and When , 1993 .

[13]  Tom A. B. Snijders,et al.  Introduction to stochastic actor-based models for network dynamics , 2010, Soc. Networks.

[14]  S. Boorman,et al.  Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions , 1976, American Journal of Sociology.

[15]  A. Ferligoj,et al.  Generalized Blockmodeling: Preface , 2004 .

[16]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[17]  Beat Kleiner,et al.  Graphical Methods for Data Analysis , 1983 .

[18]  Ulrik Brandes,et al.  Communicating Centrality in Policy Network Drawings , 1999, IEEE Trans. Vis. Comput. Graph..

[19]  Theresa-Marie Rhyne,et al.  Data Vases: 2D and 3D Plots for Visualizing Multiple Time Series , 2009, ISVC.

[20]  Niklas Elmqvist,et al.  TimeMatrix: Analyzing Temporal Social Networks Using Interactive Matrix-Based Visualizations , 2010, Int. J. Hum. Comput. Interact..

[21]  T. Snijders.  Stochastic actor-oriented models for network change , 1996 .

[22]  Michael Kaufmann,et al.  Drawing graphs: methods and models , 2001 .

[23]  Jean-Daniel Fekete,et al.  ZAME: Interactive Large-Scale Graph Visualization , 2008, 2008 IEEE Pacific Visualization Symposium.

[24]  Linton C. Freeman,et al.  Carnegie Mellon: Journal of Social Structure: Visualizing Social Networks Visualizing Social Networks , 2022 .

[25]  P. V. Marsden,et al.  NETWORK DATA AND MEASUREMENT , 1990 .

[26]  Laurence S. Dooley,et al.  Gestalt theory in visual screen design: a new look at an old subject , 2002 .

[27]  Carsten Friedrich,et al.  Applying Gestalt principles to animated visualizations of network data , 2002, Proceedings Sixth International Conference on Information Visualisation.

[28]  Jeffrey Heer,et al.  Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations , 2009, CHI.

[29]  S. Boorman,et al.  Social Structure from Multiple Networks. II. Role Structures , 1976, American Journal of Sociology.

[30]  E. Tufte.  Beautiful Evidence , 2006 .

[31]  T. Newcomb,et al.  The Acquaintance Process , 1962 .

[32]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[33]  Wolfgang Sodeur,et al.  Strukturanalyse sozialer Netzwerke , 2005 .

[34]  Inanç Birol,et al.  ABySS-Explorer: Visualizing Genome Sequence Assemblies , 2009, IEEE Transactions on Visualization and Computer Graphics.

[35]  JOSEP DÍAZ,et al.  A survey of graph layout problems , 2002, CSUR.

[36]  Ulrik Brandes,et al.  Visualization methods for longitudinal social networks and stochastic actor-oriented modeling , 2012, Soc. Networks.

[37]  Ayellet Tal,et al.  Online Dynamic Graph Drawing , 2008, IEEE Transactions on Visualization and Computer Graphics.

[38]  Leo Katz,et al.  A Matrix Approach to the Analysis of Sociometric Data: Preliminary Report , 1946 .

[39]  Keiko Nakao,et al.  Longitudinal approach to subgroup formation: re-analysis of Newcomb's fraternity data , 1993 .

[40]  P. Nordlie,et al.  A longitudinal study of interpersonal attraction in a natural group setting , 1958 .

[41]  R. Kapuściński,et al.  A brief history of balance through time , 1996 .

[42]  Jeffrey Heer,et al.  Multi-Scale Banking to 45 Degrees , 2006, IEEE Transactions on Visualization and Computer Graphics.

[43]  Melanie Tory,et al.  Evaluating Visualizations: Do Expert Reviews Work? , 2005, IEEE Computer Graphics and Applications.

[44]  Kwan-Liu Ma,et al.  Visualization by Proxy: A Novel Framework for Deferred Interaction with Volume Data , 2010, IEEE Transactions on Visualization and Computer Graphics.

[45]  Philippe Castagliola,et al.  On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis , 2005, Inf. Vis..

[46]  Cynthia A. Brewer,et al.  ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps , 2003 .

[47]  Luis Russo,et al.  Who shall survive?: Foundations of sociometry group psychotherapy and sociodrama , 2010 .

[48]  Stephen P. Borgatti,et al.  Network Theory , 2013 .

[49]  Felix Mödritscher,et al.  Foundations of a pattern language based on Gestalt principles , 2006, CHI Extended Abstracts.

[50]  Martin Wattenberg,et al.  Visual exploration of multivariate graphs , 2006, CHI.

[51]  Robert Sedgewick,et al.  Algorithms in C , 1990 .

[52]  Mark S Handcock,et al.  MODELING SOCIAL NETWORKS FROM SAMPLED DATA. , 2010, The annals of applied statistics.

[53]  Jean-Daniel Fekete,et al.  NodeTrix: a Hybrid Visualization of Social Networks , 2007, IEEE Transactions on Visualization and Computer Graphics.

[54]  Daniel A. McFarland,et al.  Dynamic Network Visualization1 , 2005, American Journal of Sociology.

[55]  Gueorgi Kossinets.  Effects of missing data in social networks , 2006, Soc. Networks.

[56]  Daniel J. Brass,et al.  Network Analysis in the Social Sciences , 2009, Science.