Paper Info
Title
TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks.
Abstract
This paper presents a system for tracking and analyzing the evolution and transformation of topics in an information network. The system consists of four main modules for pre-processing, adaptive topic modeling, network creation and temporal network analysis. The core module is built upon an adaptive topic modeling algorithm adopting a sliding time window technique that enables the discovery of ground-breaking ideas as those topics that evolve rapidly in the network.
Year
DOI
Venue
2017
10.1007/978-3-319-71273-4_46
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Information diffusion,Topic modeling Citation networks
Information networks,Computer science,Network analysis,Topic model,Distributed computing
Conference
Volume
ISSN
Citations 
10536
0302-9743
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Livio Bioglio1277.56
Ruggero G. Pensa235431.20
Valentina Rho3354.42