%0 Conference Paper %1 mcgee2011geographic %A McGee, Jeffrey %A Caverlee, James A. %A Cheng, Zhiyuan %B Proceedings of the 20th ACM international conference on Information and knowledge management %C New York, NY, USA %D 2011 %I ACM %K geographic spatial twitter %P 2333--2336 %R 10.1145/2063576.2063959 %T A geographic study of tie strength in social media %U http://doi.acm.org/10.1145/2063576.2063959 %X 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). %@ 978-1-4503-0717-8

@inproceedings{mcgee2011geographic, abstract = {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).}, acmid = {2063959}, added-at = {2012-08-08T01:52:34.000+0200}, address = {New York, NY, USA}, author = {McGee, Jeffrey and Caverlee, James A. and Cheng, Zhiyuan}, biburl = {https://www.bibsonomy.org/bibtex/2732be1def6622f1e0f7b58d7d1ea5869/folke}, booktitle = {Proceedings of the 20th ACM international conference on Information and knowledge management}, description = {A geographic study of tie strength in social media}, doi = {10.1145/2063576.2063959}, interhash = {2240dda833ad1b9a60e4b011e66beec8}, intrahash = {732be1def6622f1e0f7b58d7d1ea5869}, isbn = {978-1-4503-0717-8}, keywords = {geographic spatial twitter}, location = {Glasgow, Scotland, UK}, numpages = {4}, pages = {2333--2336}, publisher = {ACM}, series = {CIKM '11}, timestamp = {2012-08-08T01:52:34.000+0200}, title = {A geographic study of tie strength in social media}, url = {http://doi.acm.org/10.1145/2063576.2063959}, year = 2011 }