Human dynamics revealed through Web analytics Export

@article{citeulike:5771440, abstract = {The increasing ubiquity of Internet access and the frequency with which people interact with it raise the possibility of using the Web to better observe, understand, and monitor several aspects of human social behavior. Web sites with large numbers of frequently returning users are ideal for this task. If these sites belong to companies or universities, their usage patterns can furnish information about the working habits of entire populations. In this work, we analyze the properly anonymized logs detailing the access history to Emory University's Web site. Emory is a medium-sized university located in Atlanta, Georgia. We find interesting structure in the activity patterns of the domain and study in a systematic way the main forces behind the dynamics of the traffic. In particular, we find that linear preferential linking, priority-based queuing, and the decay of interest for the contents of the pages are the essential ingredients to understand the way users navigate the Web.}, author = {Gon\c{c}alves, Bruno and Ramasco, Jos\'{e} J.}, citeulike-article-id = {5771440}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PLEEE8000078000002026123000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aps.org/abstract/PRE/v78/e026123}, citeulike-linkout-2 = {http://dx.doi.org/10.1103/PhysRevE.78.026123}, doi = {10.1103/PhysRevE.78.026123}, journal = {Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)}, keywords = {activity\_patterns, emory\_university, human\_dynamics, human\_social\_behavior, internet\_access, logs, real\_world, returning\_users, single\_users, temporal\_patterns, time\_intervals, web\_analytics, weighted\_graphs}, number = {2}, pages = {026123+}, posted-at = {2009-09-10 22:40:51}, priority = {5}, publisher = {APS}, title = {Human dynamics revealed through Web analytics}, url = {http://dx.doi.org/10.1103/PhysRevE.78.026123}, volume = {78}, year = {2008} }

TY - JOUR ID - citeulike:5771440 L3 - citeulike-article-id:5771440 N2 - The increasing ubiquity of Internet access and the frequency with which people interact with it raise the possibility of using the Web to better observe, understand, and monitor several aspects of human social behavior. Web sites with large numbers of frequently returning users are ideal for this task. If these sites belong to companies or universities, their usage patterns can furnish information about the working habits of entire populations. In this work, we analyze the properly anonymized logs detailing the access history to Emory University's Web site. Emory is a medium-sized university located in Atlanta, Georgia. We find interesting structure in the activity patterns of the domain and study in a systematic way the main forces behind the dynamics of the traffic. In particular, we find that linear preferential linking, priority-based queuing, and the decay of interest for the contents of the pages are the essential ingredients to understand the way users navigate the Web. IS - 2 JF - Physical Review E (Statistical, Nonlinear, and Soft Matter Physics) TI - Human dynamics revealed through Web analytics PB - APS VL - 78 SP - 026123 KW - activity_patterns KW - emory_university KW - human_dynamics KW - human_social_behavior KW - internet_access KW - logs KW - real_world KW - returning_users KW - single_users KW - temporal_patterns KW - time_intervals KW - web_analytics KW - weighted_graphs AU - Gonçalves, Bruno AU - Ramasco, José PY - 2008/// UR - http://dx.doi.org/10.1103/PhysRevE.78.026123 ER -