TY - GEN
T1 - Navigating Information Facets on Twitter (NIF-T)
AU - Kumar, Shamanth
AU - Morstatter, Fred
AU - Marshall, Grant
AU - Liu, Huan
AU - Nambiar, Ullas
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Recent years have seen an exponential increase in the number of users of social media sites. As the number of users of these sites continues to grow at an extraordinary rate, the amount of data produced follows in magnitude. With this deluge of social media data, the need for comprehensive tools to analyze user interactions is ever increasing. In this paper, we present a novel tool, Navigating Information Facets on Twitter (NIF-T), which helps users to explore data generated on social media sites. Using the three dimensions or facets: time, location, and topic as an example of the many possible facets, we enable the users to explore large social media datasets. With the help of a large corpus of tweets collected from the Occupy Wall Street movement on the Twitter platform we show how our system can be used to identify important aspects of the event along these facets.
AB - Recent years have seen an exponential increase in the number of users of social media sites. As the number of users of these sites continues to grow at an extraordinary rate, the amount of data produced follows in magnitude. With this deluge of social media data, the need for comprehensive tools to analyze user interactions is ever increasing. In this paper, we present a novel tool, Navigating Information Facets on Twitter (NIF-T), which helps users to explore data generated on social media sites. Using the three dimensions or facets: time, location, and topic as an example of the many possible facets, we enable the users to explore large social media datasets. With the help of a large corpus of tweets collected from the Occupy Wall Street movement on the Twitter platform we show how our system can be used to identify important aspects of the event along these facets.
KW - and visual analytics
KW - faceted search
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84866015754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866015754&partnerID=8YFLogxK
U2 - 10.1145/2339530.2339777
DO - 10.1145/2339530.2339777
M3 - Conference contribution
AN - SCOPUS:84866015754
SN - 9781450314626
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 1548
EP - 1551
BT - KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
T2 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012
Y2 - 12 August 2012 through 16 August 2012
ER -