TY - GEN
T1 - ComModeler
T2 - 9th International EuroVis Workshop on Visual Analytics, EuroVA 2018 at EuroVis 2018
AU - Dang, Tommy
AU - Nguyen, Vinh T.
N1 - Publisher Copyright:
© 2018 The Author(s).
PY - 2018
Y1 - 2018
N2 - This paper introduces ComModeler, a novel approach for topic modeling using community finding in dynamic networks. Our algorithm first extracts the terms/keywords, formulates a network of collocated terms, then refines the network based on various features (such as term/relationship frequency, sudden changes in their frequency time series, or vertex betweenness centrality) to reveal the structures/communities in dynamic social networks. These communities correspond to different hidden topics in the input text documents. Although initially motivated to analyze text documents, we soon realized the ComModeler has more general implications for other application domains. We demonstrate the ComModeler on several real-world datasets, including the IEEE VIS publications from 1990 to 2016, together with collocated phrases obtained from various political blogs.
AB - This paper introduces ComModeler, a novel approach for topic modeling using community finding in dynamic networks. Our algorithm first extracts the terms/keywords, formulates a network of collocated terms, then refines the network based on various features (such as term/relationship frequency, sudden changes in their frequency time series, or vertex betweenness centrality) to reveal the structures/communities in dynamic social networks. These communities correspond to different hidden topics in the input text documents. Although initially motivated to analyze text documents, we soon realized the ComModeler has more general implications for other application domains. We demonstrate the ComModeler on several real-world datasets, including the IEEE VIS publications from 1990 to 2016, together with collocated phrases obtained from various political blogs.
UR - http://www.scopus.com/inward/record.url?scp=85082169111&partnerID=8YFLogxK
U2 - 10.2312/eurova.20181104
DO - 10.2312/eurova.20181104
M3 - Conference contribution
AN - SCOPUS:85082169111
T3 - International Workshop on Visual Analytics
SP - 1
EP - 5
BT - EuroVA 2018 - EuroVis Workshop on Visual Analytics
A2 - Fellner, Dieter
PB - Eurographics Association
Y2 - 4 June 2018
ER -