The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.07 - July (2013 vol.19)
pp: 1095-1108
A. Perer , Healthcare Analytics Res. Group, IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
I. Guy , Social Technol. Group, IBM Res., Haifa, Israel
E. Uziel , Anywhere Software, Moshav Yodfat, Israel
I. Ronen , Social Technol. Group, IBM Res., Haifa, Israel
M. Jacovi , Social Technol. Group, IBM Res., Haifa, Israel
ABSTRACT
As people continue to author and share increasing amounts of information in social media, the opportunity to leverage such information for relationship discovery tasks increases. In this paper, we describe a set of systems that mine, aggregate, and infer a social graph from social media inside an enterprise, resulting in over 73 million relationships between 450,000 people. We then describe SaNDVis, a novel visual analytics tool that supports people-centric tasks like expertise location, team building, and team coordination in the enterprise. We provide details of a 22-month-long, large-scale deployment to over 2,300 users from which we analyze longitudinal usage patterns, classify types of visual analytics queries and users, and extract dominant use cases from log and interview data. By integrating social position, evidence, and facets into SaNDVis, we demonstrate how users can use a visual analytics tool to reflect on existing relationships as well as build new relationships in an enterprise setting.
INDEX TERMS
Social network services, Visual analytics, Tagging, Data visualization, Blogs, Databases, social visualization, Information discovery, social networks, social data mining
CITATION
A. Perer, I. Guy, E. Uziel, I. Ronen, M. Jacovi, "The Longitudinal Use of SaNDVis: Visual Social Network Analytics in the Enterprise", IEEE Transactions on Visualization & Computer Graphics, vol.19, no. 7, pp. 1095-1108, July 2013, doi:10.1109/TVCG.2012.322
REFERENCES
[1] E. Adar, “GUESS: A Language and Interface for Graph Exploration,” Proc. ACM SIGCHI Conf. Human Factors in Computing Systems, pp. 791-800, 2006.
[2] E. Amitay, D. Carmel, N. Har'el, A. Soffer, N. Golbandi, S. Ofek-Koifman, and S. Yogev, “Social Search and Discovery Using a Unified Approach,” Proc. 20th ACM Conf. Hypertext and Hypermedia (HT '09), pp. 199-208, 2009.
[3] M. Bernstein, D. Tan, G. Smith, M. Czerwinski, and E. Horvitz, “Collabio: A Game for Annotating People within Social Networks,” Proc. 22nd Ann. ACM Symp. User Interface Software and Technology (UIST '09), pp. 97-100, 2009.
[4] C.S. Campbell, P.P. Maglio, A. Cozzi, and B. Dom, “Expertise Identification Using Email Communications,” Proc. 12th Int'l Conf. Information and Knowledge Management (CIKM '03), pp. 528-531, 2003.
[5] D. Chen, J. Tang, J. Li, and L. Zhou, “Discovering the Staring People from Social Networks,” Proc. 18th Int'l Conf. World Wide Web (WWW '09), pp. 1219-1220, 2009.
[6] C. Danis and D. Singer, “A Wiki Instance in the Enterprise: Opportunities, Concerns and Reality,” Proc. ACM Conf. Computer Supported Cooperative Work (CSCW '08), pp. 495-504, 2008.
[7] J. DiMicco, D.R. Millen, W. Geyer, C. Dugan, B. Brownholtz, and M.J. Muller, “Motivations for Social Networking at Work,” Proc. ACM Conf. Computer Supported Cooperative Work (CSCW '08), pp. 711-720, 2008.
[8] C. Dunne and B. Shneiderman, “Improving Graph Drawing Readability by Incorporating Readability Metrics: A Software Tool for Network Analysts,” Technical Report HCIL-2009-13, Univ. of Maryland, May 2009.
[9] K. Ehrlich and N. Shami, “Searching for Expertise,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '08), pp. 1093-1096, 2008.
[10] S. Farnham, W. Portnoy, A. Turski, L. Cheng, and D. Vronay, “Personal Map: Automatically Modeling the user's Online Social Network,” Proc. Int'l Conf. Human-Computer Interaction (INTERACT '03), 2003.
[11] S. Farrell, T. Lau, S. Nusser, E. Wilcox, and M. Muller, “Socially Augmenting Employee Profiles with People-Tagging,” Proc. 20th Ann. ACM Symp. User Interface Software and Technology (UIST '07), pp. 91-100, 2007.
[12] D. Fisher and P. Dourish, “Social and Temporal Structures in Everyday Collaboration,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '04), pp. 551-558, 2004.
[13] L. Freeman, “Visualizing Social Networks,” J. Social Structure, vol. 1, 2000.
[14] M. Freire, C. Plaisant, B. Shneiderman, and J. Golbeck, “ManyNets: An Interface for Multiple Network Analysis and Visualization,” Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), pp. 213-222, 2010.
[15] E. Gansner, Y. Koren, and S. North, “Graph Drawing by Stress Majorization,” Proc. 12th Int'l Conf. Graph Drawing (GD '04), pp. 239-250. 2004.
[16] Gephi, http:/gephi.org/, 2012.
[17] M. Ghoniem, J.D. Fekete, and P. Castagliola, “On the Readability of Graphs Using Node-Link and Matrix-Based Representations: A Controlled Experiment and Statistical Analysis,” Information Visualization, vol. 4, pp. 114-135, July 2005.
[18] I. Guy, M. Jacovi, N. Meshulam, I. Ronen, and E. Shahar, “Public vs. Private: Comparing Public Social Network Information with Email,” Proc. ACM Conf. Computer Supported Cooperative Work (CSCW '08), pp. 393-402, 2008.
[19] I. Guy, M. Jacovi, A. Perer, I. Ronen, and E. Uziel, “Same Places, Same Things, Same People?: Mining User Similarity on Social Media,” Proc. ACM Conf. Computer Supported Cooperative Work (CSCW '10), pp. 41-50, 2010.
[20] I. Guy, M. Jacovi, E. Shahar, N. Meshulam, V. Soroka, and S. Farrell, “Harvesting with SONAR: The Value of Aggregating Social Network Information,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '08), pp. 1017-1026, 2008.
[21] M.A. Hearst, “Design Recommendations for Hierarchical Faceted Search Interfaces,” Proc. SIGIR Workshop Faceted Search, pp. 26-30, 2006.
[22] J. Heer and D. Boyd, “Vizster: Visualizing Online Social Networks,” Proc. IEEE Symp. Information Visualization (InfoVis '05), 2005.
[23] N. Henry and J.D. Fekete, “Visually Exploring Large Social Networks,” Proc. Int'l Conf. Human-Computer Interaction (INTERACT), pp. 604-610, 2007.
[24] N. Henry, J.D. Fekete, and M. McGuffin, “NodeTrix: A Hybrid Visualization of Social Networks,” IEEE Trans. Visualization and Computer Graphics, vol. 13, no. 6, pp. 1302-1309, Nov./Dec. 2007.
[25] I. Herman, G. Melancon, and M.S. Marshall, “Graph Visualization and Navigation in Information Visualization: A Survey,” IEEE Trans. Visualization and Comp Graphics, vol. 6, no. 1, pp. 24-43, Jan. 2000.
[26] J. Huh, L. Jones, T. Erickson, W.A. Kellogg, R.K. Bellamy, and J.C. Thomas, “BlogCentral: The Role of Internal Blogs at Work,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '07), 2007.
[27] S.L. Jarvenpaa and D.E. Leidner, “Communication and Trustinglobal Virtual Teams,” Organization Science, vol. 10, no. 6, pp. 791-815, 1999.
[28] H. Kang, C. Plaisant, B. Lee, and B.B. Bederson, “NetLens:Iterative Exploration of Content-Actor Network Data,” Information Visualization, vol. 6, pp. 18-31, Mar. 2007.
[29] H. Kautz, B. Selman, and M. Shah, “Referral Web: Combining Social Networks and Collaborative Filtering,” Comm. ACM, vol. 3, pp. 63-65, Mar. 1997.
[30] H. Lam, Bertini, E. Isenberg, P. Plaisant, C. Carpendale, and S. Empirical, “Studies in Information Visualization: Seven Scenarios,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 9, pp. 1520-1536, Nov. 2012.
[31] C. Lin, K. Ehrlich, V. Griffiths-Fisher, and C. Desforges, “SmallBlue: People Mining for Expertise Search,” IEEE MultiMedia 15, pp. 78-84, Jan. 2008.
[32] D.W. McDonald, “Evaluating Expertise Recommendations,” Proc. Int'l ACM SIGGROUP Conf. Supporting Group Work (GROUP '01), pp. 214-223, 2001.
[33] D.W. McDonald and M.S. Ackerman, “Expertise Recommender: A Flexible Recommendation System and Architecture,” Proc. ACM Conf. Computer Supported Cooperative Work (CSCW '00), pp. 231-240, 2000.
[34] D.R. Millen, J. Feinberg, and B. Kerr, “Dogear: Social Bookmarking in the Enterprise,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '06), pp. 111-120, 2006.
[35] M.J. Muller, K. Ehrlich, T. Matthews, A. Perer, I. Ronen, and I. Guy, “Diversity Among Enterprise Online Communities: Collaborating, Teaming, and Innovating through Social Media,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '12), pp. 2815-2824, 2012.
[36] M.J. Muller, D.R. Millen, and J. Feinberg, “Information Curators in an Enterprise File-Sharing Service,” Proc. 11th European Conf. Computer Supported Cooperative Work (ECSCW '09), pp. 403-410, 2009.
[37] A. Perer, I. Guy, E. Uziel, I. Ronen, and M. Jacovi, “Visual Social Network Analytics for Relationship Discovery in the Enterprise,” Proc. IEEE Conf. Visual Analytics Science and Technology, 2011.
[38] A. Perer and B. Shneiderman, “Balancing Systematic and Flexible Exploration of Social Networks,” IEEE Trans. Visualization and Computer Graphics, vol. 12, no. 5, pp. 693-700, Sept. 2006.
[39] A. Perer and B. Shneiderman, “Integrating Statistics and Visualization: Case Studies of Gaining Clarity during Exploratory Data Analysis,” Proc. ACM Conf. Human Factors in Computing Systems (CHI), 2008.
[40] A. Perer and F. van Ham, “Integrating Querying and Browsing in Partial Graph Visualizations,” IBM Technical Report 12-01, 2012.
[41] J.H. Pieper, J. Grace, and S. Dill, “Team Analytics: Understanding Teams in the Global Workplace,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '09), 2009.
[42] T. Reichling, K. Schubert, and V. Wulf, “Matching Human Actors Based on their Texts: Design and Evaluation of an Instance of the Expertfinding Framework,” Proc. Int'l ACM SIGGROUP Conf. Supporting Group Work (GROUP '05), pp. 61-70, 2005.
[43] I. Ronen et al., “Social Networks and Discovery in the Enterprise (SaND),” Proc. 32nd Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '09), 2009.
[44] J. Seo and B. Shneiderman, “Knowledge Discovery in High Dimensional Data: Case Studies and a User Survey for the Rank-by-Feature Framework,” IEEE Trans. Visualization and Computer Graphics, vol. 12, no. 3, pp. 311-322, May 2006.
[45] N.S. Shami, K. Ehrlich, G. Gay, and J.T. Hancock, “Making Sense of Strangers' Expertise from Signals in Digital Artifacts,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '09), pp. 69-78, 2009.
[46] B. Shneiderman and A. Aris, “Network Visualization by Semantic Substrates,” IEEE Trans Visualization and Comp Graphics, vol. 12, no. 5, pp. 733-740, Sept./Oct. 2006.
[47] B. Shneiderman and C. Plaisant, “Strategies for Evaluating Information Visualization Tools: Multi-Dimensional In-Depth Long-Term Case Studies,” Proc. AVI Workshop Beyond Time and Errors: Novel Evaluation Methods for Information Visualization, 2006.
[48] M.A. Smith, B. Shneiderman, N. Milic-Frayling, E. Mendes Rodrigues, V. Barash, C. Dunne, T. Capone, A. Perer, and E. Gleave, “Analyzing (Social Media) Networks with NodeXL,” Proc. Fourth Int'l Conf. Communities and Technologies (C&T), pp. 255-264, 2009.
[49] P. Saraiya, C. North, V. Lam, and K.A. Duca, “An Insight-Based Longitudinal Study of Visual Analytics,” Trans. Visualization and Computer Graphics, vol. 12, no. 6, pp. 1511-1522, 2006.
[50] L. Terveen and D.W. McDonald, “Social Matching: A Framework and Research Agenda,” ACM Trans. Computer-Human Interaction, vol. 12, no. 3, pp. 401-434, 2005.
[51] M. Wattenberg, “Baby Names, Visualization, and Social Data Analysis,” Proc. IEEE Symp. Information Visualization, pp. 1-7, 2005.
[52] M. Wattenberg, “Visual Exploration of Multivariate Graphs,” Proc. ACM SIGCHI Conf. Human Factors in Computing Systems, pp. 811-819, 2006.
[53] S. Whittaker, Q. Jones, B. Nardi, M. Creech, L. Terveen, E. Isaacs, and J. Hainsworth, “ContactMap: Organizing Communication in a Social Desktop,” ACM Trans. Computer-Human Interaction, vol. 11, no. 4, pp. 445-471. 2004.
[54] F.B. Viegas, D. Boyd, D.H. Nguyen, J. Potter, and J. Donath, “Digital Artifacts for Remembering and Storytelling: Posthistory and Social Network Fragments,” Proc. 37th Ann. Hawaii Int'l Conf. System Sciences (HICSS '04), 2004.
[55] A. Vivacqua and H. Lieberman, “Agents to Assist in Finding Help,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '00), pp. 65-72, 2000.
29 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool