Fairsna: Algorithmic fairness in social network analysis

A Saxena, G Fletcher, M Pechenizkiy - ACM Computing Surveys, 2024 - dl.acm.org
In recent years, designing fairness-aware methods has received much attention in various
domains, including machine learning, natural language processing, and information …

Through the fairness lens: Experimental analysis and evaluation of entity matching

N Shahbazi, N Danevski, F Nargesian… - arXiv preprint arXiv …, 2023 - arxiv.org
Entity matching (EM) is a challenging problem studied by different communities for over half
a century. Algorithmic fairness has also become a timely topic to address machine bias and …

Reducing Access Disparities in Networks using Edge Augmentation✱

A Bashardoust, S Friedler, C Scheidegger… - Proceedings of the …, 2023 - dl.acm.org
In social networks, a node's position is, in and of itself, a form of social capital. Better-
positioned members not only benefit from (faster) access to diverse information, but innately …

Fair influence maximization in large-scale social networks based on attribute-aware reverse influence sampling

M Lin, L Sun, R Yang, X Liu, Y Wang, D Li, W Li… - Journal of Artificial …, 2023 - jair.org
Influence maximization is the problem of finding a set of seed nodes in the network that
maximizes the influence spread, which has become an important topic in social network …

Host Profit Maximization: Leveraging Performance Incentives and User Flexibility

X Chang, X Ke, L Chen, C Ge, Z Wei… - Proceedings of the VLDB …, 2023 - dl.acm.org
The social network host has knowledge of the network structure and user characteristics and
can earn a profit by providing merchants with viral marketing campaigns. We investigate the …

Network Fairness Ambivalence: When does social network capital mitigate or amplify unfairness?

Y Zhang, R Mukhopadhyay, A Chaintreau - Proceedings of the ACM on …, 2024 - dl.acm.org
Social networks inherit societal biases present across lines of gender, race, socioeconomic
status, and other factors. Networks can structurally perpetuate unequal access to information …

FairHash: A Fair and Memory/Time-efficient Hashmap

N Shahbazi, S Sintos, A Asudeh - … of the ACM on Management of Data, 2024 - dl.acm.org
Hashmap is a fundamental data structure in computer science. There has been extensive
research on constructing hashmaps that minimize the number of collisions leading to …

Improving fairness in information exposure by adding links

R Becker, G D'Angelo, S Ghobadi - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Fairness in influence maximization has been a very active research topic recently. Most
works in this context study the question of how to find seeding strategies (deterministic or …

Online Incentive Protocol Design for Reposting Service in Online Social Networks

H Gu, S Zheng, X Liu, H Xie, JCS Lui - ACM Transactions on the Web, 2024 - dl.acm.org
Reposting plays an essential role in boosting visibility on online social networks (OSNs). In
this paper, we study the problem of designing “reposting service” in an OSN to incentivize …

An adaptive graph sampling framework for graph analytics

K Wang - Social Network Analysis and Mining, 2023 - Springer
In large-scale data processing, graph analytics of complex interaction networks are
indispensable. As the whole graph processing and analytics can be inefficient and usually …