The network in the garden: an empirical analysis of social media in rural life
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A content-driven framework for geolocating microblog users
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Public checkins versus private queries: measuring and evaluating spatial preference
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Location prediction in social media based on tie strength
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In this paper, we investigate the interplay of distance and tie strength through an examination of 20 million geo-encoded tweets collected from Twitter and 6 million user profiles. Concretely, we investigate the relationship between the strength of the tie between a pair of users, and the distance between the pair. We identify several factors -- including following, mentioning, and actively engaging in conversations with another user -- that can strongly reveal the distance between a pair of users. We find a bimodal distribution in Twitter, with one peak around 10 miles from people who live nearby, and another peak around 2500 miles, further validating Twitter's use as both a social network (with geographically nearby friends) and as a news distribution network (with very distant relationships).