Cheng-Jun Wang | DeepAI

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Lingfei Wu
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∙ 01/23/2023

Breaking the Boundaries of Knowledge Space: Analyzing the Knowledge Spanning on the Q A Website through Word Embeddings

The challenge of raising a creative question exists in recombining diffe...

0 Haochuan Cui, et al. ∙

∙ 01/23/2023

Unpacking the Essential Tension of Knowledge Recombination: Analyzing the Impact of Knowledge Spanning on Citation Counts and Disruptive Innovation

Drawing on the theories of knowledge recombination, we aim to unpack the...

0 Cheng-Jun Wang, et al. ∙

∙ 07/20/2020

The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models

Accompanied by the rapid development of digital media, the threat of inf...

0 Huimin Xu, et al. ∙

∙ 11/12/2018

The Hidden Shape of Stories Reveals Positivity Bias and Gender Bias

To capture the shape of stories is crucial for understanding the mind of...

0 Huimin Xu, et al. ∙

∙ 10/21/2017

Leveraging the Flow of Collective Attention for Computational Communication Research

Human attention becomes an increasingly important resource for our under...

0 Cheng-Jun Wang, et al. ∙

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