@article{liu2015exploring,
author = {Liu, Shixia and Chen, Yang and Wei, Hao and Yang, Jing and Zhou, Kun and Drucker, Steven},
title = {Exploring Topical Lead-Lag across Corpora},
year = {2015},
month = {January},
abstract = {Identifying which text corpus leads in the context of a topic presents a great challenge of considerable interest to researchers. Recent research into lead-lag analysis has mainly focused on estimating the overall leads and lags between two corpora. However, real-world applications have a dire need to understand lead-lag patterns both globally and locally. In this paper, we introduce TextPioneer, an interactive visual analytics tool for investigating lead-lag across corpora from the global level to the local level. In particular, we extend an existing lead-lag analysis approach to derive two-level results. To convey multiple perspectives of the results, we have designed two visualizations, a novel hybrid tree visualization that couples a radial space-filling tree with a node-link diagram and a twisted-ladder-like visualization. We have applied our method to several corpora and the evaluation shows promise, especially in support of text comparison at different levels of detail.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/exploring-topical-lead-lag-across-corpora/},
journal = {IEEE Transactions on Knowledge and Data Engineering},
volume = {27},
number = {1},
}