Fairsna: Algorithmic fairness in social network analysis
In recent years, designing fairness-aware methods has received much attention in various
domains, including machine learning, natural language processing, and information …
domains, including machine learning, natural language processing, and information …
Through the fairness lens: Experimental analysis and evaluation of entity matching
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 …
a century. Algorithmic fairness has also become a timely topic to address machine bias and …
Reducing Access Disparities in Networks using Edge Augmentation✱
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 …
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
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 …
maximizes the influence spread, which has become an important topic in social network …
Host Profit Maximization: Leveraging Performance Incentives and User Flexibility
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 …
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?
Social networks inherit societal biases present across lines of gender, race, socioeconomic
status, and other factors. Networks can structurally perpetuate unequal access to information …
status, and other factors. Networks can structurally perpetuate unequal access to information …
FairHash: A Fair and Memory/Time-efficient Hashmap
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 …
research on constructing hashmaps that minimize the number of collisions leading to …
Improving fairness in information exposure by adding links
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 …
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
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 …
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 …
indispensable. As the whole graph processing and analytics can be inefficient and usually …