225 citations · 333 across the 27 of their papers we have counts for
14 papers · 1 filter
SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting
Chen Ling, Ruiqi Wang, Guangmo Tong
As a means of modern communication tools, online discussion forums have become an increasingly popular platform that allows asynchronous online interactions. People share thoughts…
NesTPP: Modeling Thread Dynamics in Online Discussion Forums
Chen Ling, Guangmo Tong, Mozi Chen
Online discussion forum creates an asynchronous conversation environment for online users to exchange ideas and share opinions through a unique thread-reply communication mode. Acc…
Time-constrained Adaptive Influence Maximization
Guangmo Tong, Ruiqi Wang, Zheng Dong +1
The well-known influence maximization problem aims at maximizing the influence of one information cascade in a social network by selecting appropriate seed users prior to the diffu…
On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
Guangmo Tong, Ruiqi Wang, Zheng Dong
This paper studies the multi-cascade influence maximization problem, which explores strategies for launching one information cascade in a social network with multiple existing casc…
Adaptive Influence Maximization under General Feedback Models
Guangmo Tong, Ruiqi Wang
Influence maximization is a prototypical problem enabling applications in various domains, and it has been extensively studied in the past decade. The classic influence maximizatio…
Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention
Gunagmo Tong, Ding-Zhu Du
Online misinformation has been considered as one of the top global risks as it may cause serious consequences such as economic damages and public panic. The misinformation preventi…
An Approximation Algorithm for Active Friending in Online Social Networks
Guangmo Tong, Ruiqi Wang, Xiang Li +2
Guiding users to actively expanding their online social circles is one of the primary strategies for enhancing user participation and growing online social networks. In this paper,…
On Misinformation Containment in Online Social Networks
Guangmo Tong, Weili Wu, Ding-Zhu Du
The widespread online misinformation could cause public panic and serious economic damages. The misinformation containment problem aims at limiting the spread of misinformation in…
Coupon Advertising in Online Social Systems: Algorithms and Sampling Techniques
Guangmo Tong, Weili Wu, Ding-Zhu Du
Online social systems have become important platforms for viral marketing where the advertising of products is carried out with the communication of users. After adopting the produ…
Distributed Rumor Blocking with Multiple Positive Cascades
Guangmo Amo Tong, Weili Wu, Ding-Zhu Du
Misinformation and rumor can spread rapidly and widely through online social networks and therefore rumor controlling has become a critical issue. It is often assumed that there is…
An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks
Guangmo Tong, Weili Wu, Ling Guo +4
Social networks allow rapid spread of ideas and innovations while the negative information can also propagate widely. When the cascades with different opinions reaching the same us…
Effector Detection in Social Networks
Guangmo, Tong, Shasha Li +2
In a social network, influence diffusion is the process of spreading innovations from user to user. An activation state identifies who are the active users who have adopted the tar…
Terminal-Set-Enhanced Community Detection in Social Networks
G. Tong, L. Cui, W. Wu +2
Community detection aims to reveal the community structure in a social network, which is one of the fundamental problems. In this paper we investigate the community detection probl…
Adaptive Influence Maximization in Dynamic Social Networks
Guangmo Tong, Weili Wu, Shaojie Tang +1
For the purpose of propagating information and ideas through a social network, a seeding strategy aims to find a small set of seed users that are able to maximize the spread of the…