Semantic Social Network Analysis for the Enterprise

Business processes are generally fixed and enforced strictly, as reflected by the static nature of underlying software systems and datasets. However, internal and external situations, organizational changes and various other factors trigger dynamism, which is reflected in the form of issues, complains, Q&A, opinions, reviews, etc, over a plethora of communication channels, such as email, chat, discussion forums, and internal social network. Careful and timely analysis and processing of such channels may lead to early detection of emerging trends, critical issues, opportunities, topics of interests, contributors, experts etc. Social network analytics have been successfully applied in general purpose, online social network platforms, like Facebook and Twitter. However, in order for such techniques to be useful in business context, it is mandatory to integrate them with underlying business systems, processes and practices. Such integration problem is increasingly recognized as Big Data problem. We argue that SemanticWeb technology applied with social network analytics can solve enterprise knowledge management, while achieving integration.

[1]  Jennifer Trant,et al.  Studying Social Tagging and Folksonomy: A Review and Framework , 2009, J. Digit. Inf..

[2]  Thomas L. Griffiths,et al.  Probabilistic Topic Models , 2007 .

[3]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[4]  Alfred Kobsa,et al.  Adaptable and Adaptive Information Access for All Users, Including the Disabled and the Elderly , 1997 .

[5]  Peter Mika,et al.  Ontologies are us: A unified model of social networks and semantics , 2005, J. Web Semant..

[6]  Amit P. Sheth,et al.  Linked Open Social Signals , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[7]  Ben Kei Handbook of Research on Methods and Techniques for Studying Virtual Communities : Paradigms and Phenomena , 2011 .

[8]  Bonnie Cheuk Social Networking Analysis , 2007 .

[9]  Claudia Wagner Exploring the Wisdom of the Tweets: Towards Knowledge Acquisition from Social Awareness Streams , 2010, ESWC.

[10]  Anna Wu,et al.  Detecting professional versus personal closeness using an enterprise social network site , 2010, CHI.

[11]  Jérôme Euzenat,et al.  Towards Semantic Social Networks , 2007, ESWC.

[12]  Jason J. Jung Evolutionary approach for semantic-based query sampling in large-scale information sources , 2012, Inf. Sci..

[13]  Henry Tirri,et al.  Multi-faceted information retrieval system for large scale email archives , 2005, SIGIR.

[14]  Hongxia Jin,et al.  Collaboration analytics: mining work patterns from collaboration activities , 2010, CIKM '10.

[15]  Yan Zhao,et al.  Visualization of Communication Patterns in Collaborative Innovation Networks - Analysis of Some W3C Working Groups , 2003, CIKM '03.

[16]  Thomas L. Griffiths,et al.  The Author-Topic Model for Authors and Documents , 2004, UAI.

[17]  Viktor K. Prasanna,et al.  Social Networking Analysis: A State of the Art and the Effect of Semantics , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[18]  Cong Yu,et al.  Building community-centric information exploration applications on social content sites , 2009, SIGMOD Conference.

[19]  Nigel Shadbolt,et al.  Mutual Contextualization in Tripartite Graphs of Folksonomies , 2007, ISWC/ASWC.

[20]  Efthimis N. Efthimiadis,et al.  Conversational tagging in twitter , 2010, HT '10.

[21]  Vikrambhai S. Sorathia,et al.  Event-driven Information Integration for the Digital Oilfield , 2012 .

[22]  Andrew McCallum,et al.  Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email , 2007, J. Artif. Intell. Res..

[23]  Henry Tirri,et al.  Multi-faceted information retrieval system for large scale email archives , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[24]  Anna Lisa Gentile,et al.  Extracting Semantic User Networks from Informal Communication Exchanges , 2011, SEMWEB.

[25]  Peter Loos,et al.  Context-sensitive business process support based on emails , 2012, WWW.

[26]  Jason J. Jung Service chain-based business alliance formation in service-oriented architecture , 2011, Expert Syst. Appl..

[27]  Akrivi Katifori,et al.  Creating an Ontology for the User Profile: Method and Applications , 2007, RCIS.

[28]  Vikrambhai S. Sorathia,et al.  Enterprise Wisdom Captured Socially , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[29]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[30]  Mark Robinson,et al.  Erratum: Correction to Robinson, M.A. (2010). An empirical analysis of engineers' information behaviors. Journal of the American Society for Information Science and Technology, 61(4), 640–658. , 2010 .

[31]  John Scott Social Network Analysis , 1988 .

[32]  Olivier Corby,et al.  Semantic Social Network Analysis: A Concrete Case , 2011 .

[33]  Terrill L. Frantz,et al.  Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different” , 2005, Comput. Math. Organ. Theory.

[34]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..