In few weeks we’re going to Kaohsiung, Taiwan to present at the International Conference on Advances in Social Network Analysis and Mining (ASONAM 2011). We’re really excited about this conference (last year was great!) and we want to share the paper we’re presenting. It’s been a while since we’ve started working on the ML model (multi-layer model) as a better way to describe and measure our contemporary SNSs experience. With the variety and different strengths of different social networking online services we are using today, it is becoming increasingly common to have different online networks supporting different functions. For instance, facebook can be used to interact with friends and family, Twitter can be used to broadcast to the world and LinkedIn can be used with colleagues and business partners. Given this scenario the traditional SNA approach catches only one small part of the complex system of interconnected networks we’re part of. The ML model proposes a way to keep several networks together while performing SNA analysis.
The model is just a first step but we hope, as one of the reviewers said, “to have scratched the tip of a potentially big iceberg”.
Read the paper [PDF]