Online attention dynamics: The triangle framework of theory, big data and simulations

P Lu, D Chen, G Zhang, J Ding - Expert Systems with Applications, 2023 - Elsevier
In computational social science era, the theory, big data and simulations should be well
combined and deeply integrated, and this work serves as a typical example. Online …

On predicting social unrest using social media

R Korolov, D Lu, J Wang, G Zhou… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
We study the possibility of predicting a social protest (planned, or unplanned) based on
social media messaging. We consider the process called mobilization, described in the …

Social unrest prediction through sentiment analysis on Twitter using support vector machine: experimental study on Nigeria's# EndSARS

TM Oladele, EF Ayetiran - Open Information Science, 2023 - degruyter.com
Social unrest is a powerful mode of expression and organized form of behavior involving
civil disorders and acts of mass civil disobedience, among other behaviors. Nowadays …

Big data-drive agent-based modeling of online polarized opinions

P Lu, Z Zhang, M Li - Complex & Intelligent Systems, 2021 - Springer
Under the mobile internet and big data era, more and more people are discussing and
interacting online with each other. The forming process and evolutionary dynamics of public …

The life cycle model of chinese empire dynamics (221 BC–1912 AD)

P Lu, D Chen - The Journal of Mathematical Sociology, 2023 - Taylor & Francis
The life cycle pattern is pervasive for both natural and social sciences, from human
behaviors to social systems. Based on the life cycle model of collective actions, the man …

Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions

G Zhang, H Li, R He, P Lu - Complex & Intelligent Systems, 2022 - Springer
The outbreak of COVID-19 has greatly threatened global public health and produced social
problems, which includes relative online collective actions. Based on the life cycle law …

The strength distribution and combined duration prediction of online collective actions: Big data analysis and BP neural networks

P Lu, S Nie - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Unveiling the patterns and mechanisms of human behaviors is the core task of collective
action studies. In terms of the strength (impacts or power) of collective actions, some of them …

Big data prediction of durations for online collective actions based on peak's timing

S Nie, Z Wang, W Pujia, Y Nie, P Lu - Physica A: Statistical Mechanics and …, 2018 - Elsevier
Peak Model states that each collective action has a life circle, which contains four periods of
“prepare”,“outbreak”,“peak”, and “vanish”; and the peak determines the max energy and the …

Individual vision and peak distribution in collective actions

P Lu - Communications in Nonlinear Science and Numerical …, 2017 - Elsevier
People make decisions on whether they should participate as participants or not as free
riders in collective actions with heterogeneous visions. Besides of the utility heterogeneity …

Collective actions from online to offline: External public pressure or internal structural factors

P Lu, Y Zhang, Y Xiang - Physica A: Statistical Mechanics and Its …, 2019 - Elsevier
Besides of traditional (offline) collective actions, more and more people in the big data era
are prone to launch online collective actions via Twitter & Facebook in USA and Weibo & …