StoryFlow: Tracking the Evolution of Stories

By Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, Yang Liu. 2013

239 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shixia Liu
2. Jun Zhu
3. Mengchen Liu
4. Chongxuan Li
5. Jiaxin Shi
6. Yingcai Wu
7. Huamin Qu
8. Weiwei Cui

In Computer Vision and Pattern Recognition

1. Shixia Liu
2. Mengchen Liu
3. Jun Zhu
4. Yingcai Wu
5. Weiwei Cui
6. Chongxuan Li
7. Huamin Qu
8. Ronghua Liang

Citations in the corpus

• Towards Better Analysis of Deep Convolutional Neural Networks (2016, background): “Previous research has also shown that analyzing such connections can help experts understand how a large number of non-linear parts interact with each other [52].”
• How Hierarchical Topics Evolve in Large Text Corpora (2014, background): “[20] proposed an efficient optimization approach to support real-time interaction.”
• A survey on information visualization: recent advances and challenges (2014, methodology): “To solve this problem, StoryFlow [91] was developed to create better storyline layouts while also supporting real-time interactions.”
• An Efficient Framework for Generating Storyline Visualizations from Streaming Data (2015, methodology): “TopðtÞ refers to the relative top coordinate of time step t. Based on these basic properties, we formulate the quadratic programming (QP) problem for compressing the layout as described in Formula (4a)-(4d).”
• A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, methodology): “Apart from traditional networks, researchers have also employed node-link diagrams to visually analyze some other interesting data such as set data([87]) and interaction networks([105,109]).”
• Visual Analysis of Topic Competition on Social Media (2013, methodology): “A different layout algorithm has also been proposed by Liu et al. [23].”
• EvoRiver: Visual Analysis of Topic Coopetition on Social Media (2014, methodology): “We adopt an optimization strategy from storyline visualization [25] to generate an effective and aesthetically appealing layout (G2 and G5).”