User identity linkage across online social networks: A review
The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …
more people to participate on multiple online social networks to enjoy their services. Each …
Deeplink: A deep learning approach for user identity linkage
The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …
social platforms are actually one and the same individual. Existing efforts to address this …
The good, the bad, and the ugly: uncovering novel research opportunities in social media mining
Big data is ubiquitous and can only become bigger, which challenges traditional data mining
and machine learning methods. Social media is a new source of data that is significantly …
and machine learning methods. Social media is a new source of data that is significantly …
Adversarial learning for weakly-supervised social network alignment
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different kinds of services. Linking identical users across multiple social networks, also …
different kinds of services. Linking identical users across multiple social networks, also …
Words are important: A textual content based identity resolution scheme across multiple online social networks
DK Srivastava, B Roychoudhury - Knowledge-Based Systems, 2020 - Elsevier
Identity resolution of a person using various online social networks can enable an interested
party to have a better and holistic understanding of former's behavior and personality. Major …
party to have a better and holistic understanding of former's behavior and personality. Major …
MEgo2Vec: Embedding matched ego networks for user alignment across social networks
Aligning users across multiple heterogeneous social networks is a fundamental issue in
many data mining applications. Methods that incorporate user attributes and network …
many data mining applications. Methods that incorporate user attributes and network …
Matching user accounts based on user generated content across social networks
Matching user accounts can help us build better users' profiles and benefit many
applications. It has attracted much attention from both industry and academia. Most of …
applications. It has attracted much attention from both industry and academia. Most of …
Exploiting similarities of user friendship networks across social networks for user identification
Y Li, Z Su, J Yang, C Gao - Information Sciences, 2020 - Elsevier
User identification has been attracting considerable attention from academia. Due to the
uniqueness and difficulty of faking friendship networks, some friendship-based methods …
uniqueness and difficulty of faking friendship networks, some friendship-based methods …
[图书][B] Computer-mediated communication: A theoretical and practical introduction to online human communication
CT Carr - 2021 - books.google.com
As so much of our human interaction passes through digital channels, it is essential to
understand how being online influences how we communicate with others and ourselves …
understand how being online influences how we communicate with others and ourselves …
Distribution distance minimization for unsupervised user identity linkage
Nowadays, it is common for one natural person to join multiple social networks to enjoy
different services. Linking identical users across different social networks, also known as the …
different services. Linking identical users across different social networks, also known as the …