- Password protected conference proceedings! The proceedings will be available for the general public on IEEE Xplore soon.
- List of accepted papers and posters! (Total: 50 submissions, Accepted Papers: 10, Accepted Posters: 8)
- BASNA Registration – Register through the IMSAA Website: http://www.imsaa.org/register.html
- Camera-ready instructions to authors! (version 2)
Co-located with IMSAA 2010 Conference
Today we reside in a networked environment. For example, in telecommunications the network connects the caller and the receiver of a phone conversation. On the internet, various websites are connected by means of hyperlinks. In social media, different individuals are related by visiting or commenting on the same discussion, blog, video, etc. The networks are ubiquitous in Biology and they represent interactions between biological entities such as genes, proteins and metabolites. Networks evolve in other domains like in economics, finance, physics, biology, medicine, neuroscience, social sciences, etc. Networks have always existed but the emergence of internet has made evident and traceable their existence. The increased ability to mine these social networks has seen a large surge of research in social networks across different domains.
Analytics or data mining has traditionally been performed on the entities in isolation. Incorporating the insights from the network can provide huge leap in the analytics and data mining insights on the entities. For example, exploiting the hyperlinks between web pages brought a revolution in web search. Improved predictions are possible by incorporating the insights from telecommunication networks. In social sciences the interaction between people in a social network is simulated in a game theoretic framework to evaluate the effect of government policies or changes in social scenarios.
Recently, Social Network Analysis (SNA) has emerged also as one of the most innovative and successful fields of management research, as several special issues devoted to SNA recently published in top academic management journals testify. With the digitalization of social relations and communications, management scholars are increasingly able to extract relational data from company websites, online organizational communications, news, and online databases. Also, new research tools, such as web surveys, web scraping tools, text analysis software, and data mining tools, facilitate the extraction, organization, visualization, and interpretation of relational data. Thirdly, the increasing computer power allows management scholars to process larger amounts of data (and relational data) using more sophisticated (and memory expensive) algorithms and statistical methods (such as Exponential Random Graph Models) to analyze larger social networks.
Management consulting companies, technology providers, social networking sites, and business corporations are starting now to address their attention towards SNA as a management tool and business opportunity. The most successful business applications of SNA in business practice deal with knowledge management systems, support to innovation processes, customer-relationship management tools, intra-organizational coordination. However, far from being a mainstream management innovation, SNA is still a research-driven set of theories and methodologies with little applications in the business world. However, the more company data are digitalized, collected, stored, organized, and integrated in enterprise data warehouses, the more data mining tools are able to extract information and knowledge, the more SNA will be able support the identification and management of internal or external social networks for the creation of business value.
The aim of this workshop is to encourage multidisciplinary discussions related to novel ideas and application geared towards analyzing social network data. By bringing together researchers in the fields of SNA, data mining, and management studies, the workshop will focus on identifying the “grey” areas of collaboration among their respective disciplines:
- The role of data mining techniques in identifying scalable methods for the extraction and organization of social relations for management research and business practice
- The role of management research in guiding data mining efforts and SNA metrics development towards theoretically-grounded discoveries about social network emergence.
- The role of Social Network Analysis in developing and applying metrics and tools for the mapping, evaluation, visualization, and design of social relations in organizations.
|24 September 2010||Deadline of submission of papers|
|15 October 2010||Paper Review Notification|
|31 October 2010||Final Camera Ready Paper Due|
|6 November 2010||Deadline for authors’ registration. See IMSAA|
|15 December 2010||BASNA Workshop|