activity
20102023
most citedEvents Determine Spreading Patterns: Information Transmission via Internal and External Influences on Social Networks

97 citations · 472 across the 27 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.SI2021

Quantification of network structural dissimilarities based on graph embedding

Zhipeng Wang, Xiu-Xiu Zhan, Chuang Liu +1

Identifying and quantifying structural dissimilarities between complex networks is a fundamental and challenging problem in network science. Previous network comparison methods are…

cs.SI2021★ 3 cited

Measuring and utilizing temporal network dissimilarity

Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang +3

Quantifying the structural and functional differences of temporal networks is a fundamental and challenging problem in the era of big data. This work proposes a temporal dissimilar…

physics.soc-ph2021

Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks

Chuang Liu, Shimin Yu, Ying Huang +1

Link and sign prediction in complex networks bring great help to decision-making and recommender systems, such as in predicting potential relationships or relative status levels. M…

physics.soc-ph2021★ 36 cited

The Aging Effect in Evolving Scientific Citation Networks

Feng Hu, Lin Ma, Xiu-Xiu Zhan +4

The study of citation networks is of interest to the scientific community. However, the underlying mechanism driving individual citation behavior remains imperfectly understood, de…

physics.soc-ph2021★ 1 cited

Exploring the effect of social media and spatial characteristics during the COVID-19 pandemic in China

Xiu-Xiu Zhan, Kaiyue Zhang, Lun Ge +6

The declaration of COVID-19 as a pandemic has largely amplified the spread of related information on social media, such as Twitter, Facebook, and WeChat.Unlike the previous studies…

physics.soc-ph2021

Toward Structural Controllability and Predictability in Directed Networks

Fei Jing, Chuang Liu, Jian-Liang Wu +1

The lack of studying the complex organization of directed network usually limits to the understanding of underlying relationship between network structures and functions. Structura…