Progresses and challenges in link prediction
T Zhou - Iscience, 2021 - cell.com
Link prediction is a paradigmatic problem in network science, which aims at estimating the
existence likelihoods of nonobserved links, based on known topology. After a brief …
existence likelihoods of nonobserved links, based on known topology. After a brief …
Toward uncertainty of weighted networks: An entropy-based model
Measuring the uncertainty is of both theoretical value and practical interest in the network
science. The previous studies focus on measuring the uncertainty of the entire networks …
science. The previous studies focus on measuring the uncertainty of the entire networks …
[HTML][HTML] Influentials, early adopters, or random targets? Optimal seeding strategies under vertical differentiations
F Cui, L Wang, XR Luo, X Cui - Decision Support Systems, 2024 - Elsevier
Product seeding, defined as the act by which firms send products to selected customers and
encourage them to spread word of mouth, is a critical decision support strategy for the …
encourage them to spread word of mouth, is a critical decision support strategy for the …
A trust-based recommendation method using network diffusion processes
LJ Chen, J Gao - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
A variety of rating-based recommendation methods have been extensively studied including
the well-known collaborative filtering approaches and some network diffusion-based …
the well-known collaborative filtering approaches and some network diffusion-based …
Seasonal and geographical impact on human resting periods
We study the influence of seasonally and geographically related daily dynamics of daylight
and ambient temperature on human resting or sleeping patterns using mobile phone data of …
and ambient temperature on human resting or sleeping patterns using mobile phone data of …
On-device modeling of user's social context and familiar places from smartphone-embedded sensor data
MG Campana, F Delmastro - Journal of Network and Computer …, 2022 - Elsevier
Context modeling and recognition represent complex tasks that allow mobile and ubiquitous
computing applications to adapt to the user's situation. The real advantage of context …
computing applications to adapt to the user's situation. The real advantage of context …
Discovering patterns of customer financial behavior using social media data
Social networks are a sterling source of information that reflects the real life of people in the
digital space. This makes it possible to infer various aspects of the socioeconomic behavior …
digital space. This makes it possible to infer various aspects of the socioeconomic behavior …
Long-term correlations and multifractality of toll-free calls in China
J Gui, Z Zheng, D Fu, Y Fu, Z Liu - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
In the recent decades, calling activities have been studied from different perspectives in
social physics field. In diverse studies, call frequencies and call durations have been widely …
social physics field. In diverse studies, call frequencies and call durations have been widely …
Dynamics of discrimination and prejudice via two types of social contagion
Discriminatory behavior can occur suddenly in association with an external shock that
amplifies discrimination and prejudice, such as the election of politicians who tolerate or …
amplifies discrimination and prejudice, such as the election of politicians who tolerate or …