TY - JOUR
T1 - Understanding online groups through social media
AU - Barbier, Geoffrey
AU - Tang, Lei
AU - Liu, Huan
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2011/7
Y1 - 2011/7
N2 - Multiple fields including sociology, anthropology, and business are interested in understanding group behavior. Applying data mining techniques to socialmedia can help provide insights into group behavior and divulge a group's characteristics by identifying a group, developing a profile for a group, revealing the sentiment of a group, and detailing a group's composition. The ability to accomplishthese tasks has practical business and scientific applications such as understanding customers betterand providing new insights into influence propagation, as well as the ability to accurately categorize groups over time. This paper highlights some ongoing research efforts aiming at understanding groups through social media.
AB - Multiple fields including sociology, anthropology, and business are interested in understanding group behavior. Applying data mining techniques to socialmedia can help provide insights into group behavior and divulge a group's characteristics by identifying a group, developing a profile for a group, revealing the sentiment of a group, and detailing a group's composition. The ability to accomplishthese tasks has practical business and scientific applications such as understanding customers betterand providing new insights into influence propagation, as well as the ability to accurately categorize groups over time. This paper highlights some ongoing research efforts aiming at understanding groups through social media.
UR - http://www.scopus.com/inward/record.url?scp=84873175889&partnerID=8YFLogxK
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U2 - 10.1002/widm.37
DO - 10.1002/widm.37
M3 - Article
AN - SCOPUS:84873175889
SN - 1942-4787
VL - 1
SP - 330
EP - 338
JO - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
JF - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
IS - 4
ER -