Structural hole theory in social network analysis: A review
Social networks now connect billions of people around the world, where individuals
occupying different positions often represent different social roles and show different …
occupying different positions often represent different social roles and show different …
A survey on computational politics
Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …
users' behaviors related to political activities such as election campaign persuasion, political …
Aquilis: Using contextual integrity for privacy protection on mobile devices
Smartphones are nowadays the dominant end-user device. As a result, they have become
gateways to all users' communications, including sensitive personal data. In this paper, we …
gateways to all users' communications, including sensitive personal data. In this paper, we …
GeoLifecycle: User engagement of geographical exploration and churn prediction in LBSNs
As Location-Based Social Networks (LBSNs) have become widely used by users,
understanding user engagement and predicting user churn are essential to the …
understanding user engagement and predicting user churn are essential to the …
Identifying structural hole spanners in online social networks using machine learning
Online social networks play an important role in our daily activities. As an important concept
in social network analytics, the structural hole theory shows that the positions in social …
in social network analytics, the structural hole theory shows that the positions in social …
Enemy at the gate: evolution of Twitter user's polarization during national crisis
Social networks are effective platforms to study the real-life behavior of users. In this paper,
we study users' political polarization during the times of crisis and its relation to nationalism …
we study users' political polarization during the times of crisis and its relation to nationalism …
Enemy at the Gate: Evolution of Twitter User's Polarization During National Crisis
Social networks are effective platforms to study the real-life behavior of users. In this paper,
we study users' political polarization during the times of crisis and its relation to nationalism …
we study users' political polarization during the times of crisis and its relation to nationalism …
Personalized privacy-preserving semi-centralized recommendation system in a social network
CK Leung, Q Wen - Proceedings of the International Conference on …, 2023 - dl.acm.org
In the contemporary era of big data, recommendation systems play a crucial role in guiding
our daily decision-making amidst an overwhelming array of choices. Personalized …
our daily decision-making amidst an overwhelming array of choices. Personalized …
Social network mining and analytics for quantitative patterns
CCJ Hryhoruk, CK Leung, AGM Pazdor - Proceedings of the …, 2023 - dl.acm.org
Frequent pattern mining has gained popularity in the realm of knowledge discovery and big
data analytics as it identifies sets of items that frequently co-occur (eg, popular merchandise …
data analytics as it identifies sets of items that frequently co-occur (eg, popular merchandise …
Identifying the Best Targets for an Advertisement Campaign via Online Social Networks
We propose a novel approach for the recommendation of possible customers (users) to
advertisers (eg, brands) based on two main aspects:(i) the comparison between On-line …
advertisers (eg, brands) based on two main aspects:(i) the comparison between On-line …