Conversation practices and network structure in Twitter – SIGSNA paper at ICWSM12

Our paper Conversation practices and network structure in Twitter has been accepted as poster paper for the upcoming International AAAI Conference on Weblogs and Social Media (ICWSM12) that will be held in Dublin in June. We are really happy to be part of the conference of many reasons. On one side ICWSM is an interesting venue where researchers coming both from the computer sciences and from the social sciences have the opportunity to come together presenting their own researches and approaches. As we know from our personal experience that is not an easy dialogue but it is really valuable.
At the same time we are really happy about our paper Conversation practices and network structure in Twitter that deals with an intriguing and still largely unexplored aspect of Twitter: if and why the participation to hashtag conversation leads to the acquisition of new followers. While the topic might seem very specific it might be a first step toward the construction of connections between those researches based on the analysis of hashtag-based conversation and those based on the analysis of following network.
We are going to publish – as usual – a preprin version of the paper as soon as possible.Our paper Conversation practices and network structure in Twitter has been accepted as poster paper for the upcoming International AAAI Conference on Weblogs and Social Media (ICWSM12) that will be held in Dublin in June. We are really happy to be part of the conference of many reasons. On one side ICWSM is an interesting venue where researchers coming both from the computer sciences and from the social sciences have the opportunity to come together presenting their own researches and approaches. As we know from our personal experience that is not an easy dialogue but it is really valuable.
At the same time we are really happy about our paper Conversation practices and network structure in Twitter that deals with an intriguing and still largely unexplored aspect of Twitter: if and why the participation to hashtag conversation leads to the acquisition of new followers. While the topic might seem very specific it might be a first step toward the construction of connections between those researches based on the analysis of hashtag-based conversation and those based on the analysis of following network.
We are going to publish – as usual – a preprin version of the paper as soon as possible.

The ML-model for multi-layer social networks


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]