Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

A survey of community detection in complex networks using nonnegative matrix factorization

C He, X Fei, Q Cheng, H Li, Z Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Community detection is one of the popular research topics in the field of complex networks
analysis. It aims to identify communities, represented as cohesive subgroups or clusters …

Statistical physics of crime: A review

MR D'Orsogna, M Perc - Physics of life reviews, 2015 - Elsevier
Containing the spread of crime in urban societies remains a major challenge. Empirical
evidence suggests that, if left unchecked, crimes may be recurrent and proliferate. On the …

Community detection in complex networks using Node2vec with spectral clustering

F Hu, J Liu, L Li, J Liang - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
Community structure in complex networks has been proven to be valuable in a variety of
fields, such as biology, social media, health, etc. Researchers have investigated a significant …

ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem

S Banerjee, M Jenamani, DK Pratihar - Expert Systems with Applications, 2019 - Elsevier
Given a social network of users with non-uniform selection cost, and a fixed budget, which
nodes should be chosen for initial activation to maximize the influence in the network, such …

Crime in urban areas: A data mining perspective

X Zhao, J Tang - Acm Sigkdd Explorations Newsletter, 2018 - dl.acm.org
Urban safety and security play a crucial role in improving life quality of citizen and the
sustainable development of urban. Traditional urban crime research focused on leveraging …

CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale

Q Wang, G Jin, X Zhao, Y Feng, J Huang - Knowledge-Based Systems, 2020 - Elsevier
Understanding the evolving discipline of crime situations is a long-standing but significant
problem. Former methods prefer the stochastic modeling of the crime phenomenon in …

Density-based place clustering in geo-social networks

J Shi, N Mamoulis, D Wu, DW Cheung - Proceedings of the 2014 ACM …, 2014 - dl.acm.org
Spatial clustering deals with the unsupervised grouping of places into clusters and finds
important applications in urban planning and marketing. Current spatial clustering models …

Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization

R Shang, W Zhang, Z Li, C Wang, L Jiao - Applied Soft Computing, 2023 - Elsevier
In recent years, complex networks have become increasingly difficult to detect effectively
with the rapid development of networks. On the one hand, the scale of the network has …

“Gentefication” in the Barrio: examining the relationship between gentrification and homicide in East Los Angeles

MS Barton, MA Valasik, E Brault… - Crime & …, 2020 - journals.sagepub.com
Research has increasingly moved toward a consensus that violent crime declines as
neighborhoods gentrify, yet some studies find the direction of this relationship varies by type …