The Journal of Machine Learning Research
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
TweetLDA: supervised topic classification and link prediction in Twitter
Proceedings of the 3rd Annual ACM Web Science Conference
Computing similarity between items in a digital library of cultural heritage
Journal on Computing and Cultural Heritage (JOCCH)
An analysis of topical proximity in the twitter social graph
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
What you want is not what you get: predicting sharing policies for text-based content on facebook
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
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Language use is overlaid on a network of social connections, which exerts an influence on both the topics of discussion and the ways that these topics can be expressed (Halliday, 1978). In the past, efforts to understand this relationship were stymied by a lack of data, but social media offers exciting new opportunities. By combining large linguistic corpora with explicit representations of social network structures, social media provides a new window into the interaction between language and society. Our long term goal is to develop joint sociolinguistic models that explain the social basis of linguistic variation.