Anonymization techniques for privacy preserving data publishing: A comprehensive survey
A Majeed, S Lee - IEEE access, 2020 - ieeexplore.ieee.org
Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …
owners such as hospitals, banks, social network (SN) service providers, and insurance …
A review of text corpus-based tourism big data mining
With the massive growth of the Internet, text data has become one of the main formats of
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
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 …
Understanding the power of opinion leaders' influence on the diffusion process of popular mobile games: Travel Frog on Sina Weibo
Z Wang, H Liu, W Liu, S Wang - Computers in Human Behavior, 2020 - Elsevier
As mobile games are growing in acceptance for players, several theories stress the
importance of opinion leaders' influence on game adoption. Opinion leaders who exert a …
importance of opinion leaders' influence on game adoption. Opinion leaders who exert a …
Building an ethereum and ipfs-based decentralized social network system
Evolvement of blockchain technology has greatly changed the network and it makes many
applications to be distributed, decentralized without loss of security. Ethereum is an open …
applications to be distributed, decentralized without loss of security. Ethereum is an open …
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 …
Measuring the short text similarity based on semantic and syntactic information
J Yang, Y Li, C Gao, Y Zhang - Future Generation Computer Systems, 2021 - Elsevier
Determining the similarity between short texts plays an important role in natural language
processing applications such as search, query suggestion and automatic summary, which …
processing applications such as search, query suggestion and automatic summary, which …
User identification across multiple social networks based on naive Bayes model
Recently, the problem of user identification across multiple social networks (UIAMSNs) has
attracted considerable attention since it is a prerequisite for many downstream tasks and …
attracted considerable attention since it is a prerequisite for many downstream tasks and …
A user identification algorithm based on user behavior analysis in social networks
The precision of the conventional user identification algorithm is not satisfactory because it
ignores the role of user-generated data in identity matching. In this paper, we propose a …
ignores the role of user-generated data in identity matching. In this paper, we propose a …
Matching user accounts across social networks based on username and display name
Matching user accounts across social networks is helpful for building better user profile,
which has practical significance for many applications. It has attracted many scholars' …
which has practical significance for many applications. It has attracted many scholars' …