A familiar face(book): profile elements as signals in an online social network Export

@inproceedings{citeulike:2178546, abstract = {Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, giving designers insight into the importance of the profile and how it works to encourage connections and articulated relationships between users. We describe a theoretical framework that draws on aspects of signaling theory, common ground theory, and transaction costs theory to generate an understanding of why certain profile fields may be more predictive of friendship articulation on the site. Using a dataset consisting of 30,773 Facebook profiles, we determine which profile elements are most likely to predict friendship links and discuss the theoretical and design implications of our findings.}, address = {New York, NY, USA}, author = {Lampe, Cliff A. C. and Ellison, Nicole and Steinfield, Charles}, booktitle = {CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {2178546}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1240695}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1240624.1240695}, doi = {10.1145/1240624.1240695}, isbn = {978-1-59593-593-9}, keywords = {facebook, lampe}, location = {San Jose, California, USA}, pages = {435--444}, posted-at = {2009-06-30 20:50:55}, priority = {2}, publisher = {ACM}, title = {A familiar face(book): profile elements as signals in an online social network}, url = {http://dx.doi.org/10.1145/1240624.1240695}, year = {2007} }

TY - CONF ID - citeulike:2178546 L3 - citeulike-article-id:2178546 N2 - Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, giving designers insight into the importance of the profile and how it works to encourage connections and articulated relationships between users. We describe a theoretical framework that draws on aspects of signaling theory, common ground theory, and transaction costs theory to generate an understanding of why certain profile fields may be more predictive of friendship articulation on the site. Using a dataset consisting of 30,773 Facebook profiles, we determine which profile elements are most likely to predict friendship links and discuss the theoretical and design implications of our findings. CY - San Jose, California, USA SN - 978-1-59593-593-9 AD - New York, NY, USA EP - 444 TI - A familiar face(book): profile elements as signals in an online social network PB - ACM T2 - CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems SP - 435 KW - facebook KW - lampe AU - Lampe, Cliff AU - Ellison, Nicole AU - Steinfield, Charles PY - 2007/// UR - http://dx.doi.org/10.1145/1240624.1240695 ER -