TY - GEN
T1 - Identification of groups in online environments
T2 - 2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011
AU - Ahmed, Iftekhar
AU - Brown, Channing
AU - Pilny, Andrew
AU - Cai, Dora
AU - Ada, Yannick Atouba
AU - Poole, Marshall Scott
PY - 2011
Y1 - 2011
N2 - This study describes an approach to track groups over time as they participate in larger networks of groups. Groups were tracked in a Massive Multi-Player Online Role Playing Game (MMORPG), a context typical of many online venues and similar to some situations in the real world. Based on social scientific theories the study identified possible avenues to detect groups, explored game logs to identify relevant variables for group detection, and developed an algorithm to detect groups from individual level data. This study demonstrates that it is possible to identify groups in MMORPG environments using available individual level data. The study has also captured some group dynamics that corresponds to existing real world examples, including changes in groups over time and development of larger groups through unification of smaller groups.
AB - This study describes an approach to track groups over time as they participate in larger networks of groups. Groups were tracked in a Massive Multi-Player Online Role Playing Game (MMORPG), a context typical of many online venues and similar to some situations in the real world. Based on social scientific theories the study identified possible avenues to detect groups, explored game logs to identify relevant variables for group detection, and developed an algorithm to detect groups from individual level data. This study demonstrates that it is possible to identify groups in MMORPG environments using available individual level data. The study has also captured some group dynamics that corresponds to existing real world examples, including changes in groups over time and development of larger groups through unification of smaller groups.
KW - Algorithm development
KW - Data mining
KW - Group detection
KW - Group identification
KW - Grouping characteristics
KW - MMORPG
UR - http://www.scopus.com/inward/record.url?scp=84856161174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856161174&partnerID=8YFLogxK
U2 - 10.1109/PASSAT/SocialCom.2011.180
DO - 10.1109/PASSAT/SocialCom.2011.180
M3 - Conference contribution
AN - SCOPUS:84856161174
SN - 9780769545783
T3 - Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
SP - 629
EP - 632
BT - Proceedings - 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, PASSAT/SocialCom 2011
Y2 - 9 October 2011 through 11 October 2011
ER -