EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis

Gao, Min; Li, Zheng; Li, Ruichen; Cui, Chenhao; Chen, Xinyuan; Ye, Bodian; Li, Yupeng; Gu, Weiwei; Gong, Qingyuan; Wang, Xin; Chen, Yang

doi:10.1016/j.patter.2023.100839

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Book1

Article1

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Measurement and Analysis of China’s Fashion Events on Social Media: A Study of Shanghai Fashion Week

Liu,

Gong

2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Measurement and Analysis of China’s Fashion Events on Social Media: A Study of Shanghai Fashion Week

Liu,

Gong

2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs

Tang,

Gao,

Xiao

et al. 2024

Proceedings of the Third International Workshop on Social and Metaverse Computing, Sensing and Networking

View full text Add to dashboard Cite

Joint-sensemaking, innovation, and communication management during crisis: Evidence from the DCT applications in China

Qu,

Chen,

Zou

et al. 2024

Big Data & Society

View full text Add to dashboard Cite

As exemplified by the COVID-19 pandemic, the design and implementation of data-driven health surveillance, like digital contact tracing (DCT) apps, carry significant implications for society. However, its rushed development calls for careful consideration from all involved stakeholders to achieve a shared understanding and engage in joint-sensemaking in order to implement DCT collaboratively and effectively utilize it in the fight against the pandemic. Yet, the empirical ground truth and theoretical mechanism of joint-sensemaking are both unclear. Drawing on this gap, this article applies a multistep approach, including sentiment analysis, topic analysis coupled with regression and unique network analysis, to thoroughly explore, examine, and explain the dynamic process of joint-sensemaking in the context of a public crisis. Based on evidence from 113,264 Weibo posts, we illustrate two joint-sensemaking pathways and three key interventions using the case of China's Health Code in the context of the DCT. We reveal that the effectiveness of different interventions and contributions made by stakeholders vary significantly between different joint-sensemaking pathways. Specifically, we find that official media and opinion leaders act as crucial mediators in bridging intervention conductors and the public. However, their influence presents heterogeneity toward different network modularity, thus leading to distinct patterns. Additionally, inconsistent with previous literature, we find that within the context of the China Health Code, official media has a greater impact on opinion leaders in engaging the public.

show abstract

EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis

Cited by 4 publications

References 83 publications

Measurement and Analysis of China’s Fashion Events on Social Media: A Study of Shanghai Fashion Week

Measurement and Analysis of China’s Fashion Events on Social Media: A Study of Shanghai Fashion Week

EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs

Joint-sensemaking, innovation, and communication management during crisis: Evidence from the DCT applications in China

Contact Info

Product

Resources

About