SocialWeb accommodates a wide spectrum of user activities, including information sharing via social media networks (e.g., Twitter), question answering in collaborative Q&A systems (e.g., StackOverow), and more profession-oriented activities such as social coding in code sharing systems (e.g., Github). Social Web enables the distinctive opportunity for understanding the interplay between multiple user activity types. To enable such studies, a basic requirement, and a big challenge, is the ability to link user profiles across multiple social networks. By exploiting user attributes, platform-specific services, and different matching strategies, this paper contributes a methodology for linking user accounts across StackOverow, Github and Twitter. We show how tens of thousands of accounts in StackOverow, Github, and Twitter could be successfully linked. To showcase the type of research enabled by datasets built with our methodology, we conduct a comparative study of user interaction networks in the three platforms, and investigate correlations between users interactions across the different networks.
Linking accounts across social networks: The case of StackOverflow, Github and Twitter
TAGARELLI, Andrea
2015-01-01
Abstract
SocialWeb accommodates a wide spectrum of user activities, including information sharing via social media networks (e.g., Twitter), question answering in collaborative Q&A systems (e.g., StackOverow), and more profession-oriented activities such as social coding in code sharing systems (e.g., Github). Social Web enables the distinctive opportunity for understanding the interplay between multiple user activity types. To enable such studies, a basic requirement, and a big challenge, is the ability to link user profiles across multiple social networks. By exploiting user attributes, platform-specific services, and different matching strategies, this paper contributes a methodology for linking user accounts across StackOverow, Github and Twitter. We show how tens of thousands of accounts in StackOverow, Github, and Twitter could be successfully linked. To showcase the type of research enabled by datasets built with our methodology, we conduct a comparative study of user interaction networks in the three platforms, and investigate correlations between users interactions across the different networks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.