TY - GEN
T1 - Linking accounts across social networks
T2 - KDWEB 2015
AU - Silvestri, G.
AU - Yang, Jie
AU - Bozzon, Alessandro
AU - Tagarelli, A
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84955487980&partnerID=8YFLogxK
M3 - Conference contribution
VL - 1489
T3 - Ceur Workshop Proceedings
SP - 41
EP - 52
BT - Proceedings of the 1st International Workshop on Knowledge Discovery on the WEB, KDWEB 2015
A2 - Armano, G.
A2 - Bozzon, A.
A2 - Giuliani, A.
PB - CEUR-WS
CY - Aachen
Y2 - 3 September 2015 through 5 September 2015
ER -