Congratulations to Mike Farrugia on having our new paper entitled “Enhancing airline customer relationship management data by inferring ties between passengers” accepted as a regular paper at the International Workshop on Social Networks Mining and Analysis for Business Applications (SNMABA2009). This workshop will be held in conjunction with the 2009 IEEE International Conference on Social Computing in Vancouver, Canada. Accepted papers will be published in the workshop section of the main conference proceedings of SocialComp-09.

“Abstract—In the airline industry, as in many other industries, customer relationship management data is predominantly based on quantitative data. In this paper we explore the possibility of augmenting this quantitative data with relational data by inferring ties between passengers. Different methods of inferring relationships are proposed and discussed, along with the business
benefits such relational data adds to current customer information. We also explain some visualisation approaches to facilitate the exploration of this data by business analysts in marketing, sales and customer loyalty sections.”