In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis suggests that employee behavior on social network sites (SNSs) reveals information about both professional and personal closeness. While some factors are predictive of general closeness (e.g. content recommendations), other factors signal that employees feel personal closeness towards their colleagues, but not professional closeness (e.g. mutual profile commenting). This analysis contributes to our understanding of how SNS behavior reflects relationship multiplexity: the multiple facets of our relationships with SNS connections.
%0 Conference Paper
%1 wu2010detecting
%A Wu, Anna
%A DiMicco, Joan M.
%A Millen, David R.
%B Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
%C New York, NY, USA
%D 2010
%I ACM
%K closeness enterprise network personal professional social
%P 1955--1964
%R 10.1145/1753326.1753622
%T Detecting Professional Versus Personal Closeness Using an Enterprise Social Network Site
%U http://doi.acm.org/10.1145/1753326.1753622
%X In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis suggests that employee behavior on social network sites (SNSs) reveals information about both professional and personal closeness. While some factors are predictive of general closeness (e.g. content recommendations), other factors signal that employees feel personal closeness towards their colleagues, but not professional closeness (e.g. mutual profile commenting). This analysis contributes to our understanding of how SNS behavior reflects relationship multiplexity: the multiple facets of our relationships with SNS connections.
%@ 978-1-60558-929-9
@inproceedings{wu2010detecting,
abstract = {In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis suggests that employee behavior on social network sites (SNSs) reveals information about both professional and personal closeness. While some factors are predictive of general closeness (e.g. content recommendations), other factors signal that employees feel personal closeness towards their colleagues, but not professional closeness (e.g. mutual profile commenting). This analysis contributes to our understanding of how SNS behavior reflects relationship multiplexity: the multiple facets of our relationships with SNS connections.},
acmid = {1753622},
added-at = {2015-10-27T10:57:49.000+0100},
address = {New York, NY, USA},
author = {Wu, Anna and DiMicco, Joan M. and Millen, David R.},
biburl = {https://www.bibsonomy.org/bibtex/2fb05b0cdf6a920d55b65429a30007cfb/jaeschke},
booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
doi = {10.1145/1753326.1753622},
interhash = {d8929b59a268294f6961cf5771f0193f},
intrahash = {fb05b0cdf6a920d55b65429a30007cfb},
isbn = {978-1-60558-929-9},
keywords = {closeness enterprise network personal professional social},
location = {Atlanta, Georgia, USA},
numpages = {10},
pages = {1955--1964},
publisher = {ACM},
series = {CHI '10},
timestamp = {2015-10-27T10:57:49.000+0100},
title = {Detecting Professional Versus Personal Closeness Using an Enterprise Social Network Site},
url = {http://doi.acm.org/10.1145/1753326.1753622},
year = 2010
}