[图书][B] Information and influence propagation in social networks

W Chen, C Castillo, LVS Lakshmanan - 2013 - books.google.com
Research on social networks has exploded over the last decade. To a large extent, this has
been fueled by the spectacular growth of social media and online social networking sites …

Drimux: Dynamic rumor influence minimization with user experience in social networks

B Wang, G Chen, L Fu, L Song… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the soaring development of large scale online social networks, online information
sharing is becoming ubiquitous everyday. Various information is propagating through online …

Influence maximization over large-scale social networks: A bounded linear approach

Q Liu, B Xiang, E Chen, H Xiong, F Tang… - Proceedings of the 23rd …, 2014 - dl.acm.org
Information diffusion in social networks is emerging as a promising solution to successful
viral marketing, which relies on the effective and efficient identification of a set of nodes with …

Guardian: Evaluating trust in online social networks with graph convolutional networks

W Lin, Z Gao, B Li - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
In modern online social networks, each user is typically able to provide a value to indicate
how trustworthy their direct friends are. Inferring such a value of social trust between any pair …

Trust assessment in online social networks

G Liu, Q Yang, H Wang, AX Liu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Assessing trust in online social networks (OSNs) is critical for many applications such as
online marketing and network security. It is a challenging problem, however, due to the …

Assessment of multi-hop interpersonal trust in social networks by three-valued subjective logic

G Liu, Q Yang, H Wang, X Lin… - IEEE INFOCOM 2014 …, 2014 - ieeexplore.ieee.org
Assessing multi-hop interpersonal trust in online social networks (OSNs) is critical for many
social network applications such as online marketing but challenging due to the difficulties of …

Boosting information spread: An algorithmic approach

Y Lin, W Chen, JCS Lui - 2017 IEEE 33rd International …, 2017 - ieeexplore.ieee.org
The majority of influence maximization (IM) studies focus on targeting influential seeders to
trigger substantial information spread in social networks. In this paper, we consider a new …

Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective

T Xu, H Zhu, X Zhao, Q Liu, H Zhong, E Chen… - Proceedings of the …, 2016 - dl.acm.org
With recent advances in mobile and sensor technologies, a large amount of efforts have
been made on developing intelligent applications for taxi drivers, which provide beneficial …

Neuralwalk: Trust assessment in online social networks with neural networks

G Liu, C Li, Q Yang - IEEE INFOCOM 2019-IEEE Conference …, 2019 - ieeexplore.ieee.org
Assessing the trust between users in a trust social network (TSN) isa critical issue in many
applications, eg, film recommendation, spam detection, and online lending. Despite of …

Influence spread in geo-social networks: a multiobjective optimization perspective

L Wang, Z Yu, F Xiong, D Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As an emerging social dynamic system, geo-social network can be used to facilitate viral
marketing through the wide spread of targeted advertising. However, unlike traditional …