activity
20152022
most citedAdaptive Influence Maximization in Dynamic Social Networks

225 citations · 964 across the 37 of their papers we have counts for

collaborators

37 papers

cs.SI2022

Profit Maximization in Social Networks and Non-monotone DR-submodular Maximization

Shuyang Gu, Chuangen Gao, Jun Huang +1

In this paper, we study the non-monotone DR-submodular function maximization over integer lattice. Functions over integer lattice have been defined submodular property that is simi…

cs.SI2022★ 60 cited

A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization

Yandi Li, Haobo Gao, Yunxuan Gao +2

Influence Maximization (IM) is a classical combinatorial optimization problem, which can be widely used in mobile networks, social computing, and recommendation systems. It aims at…

cs.SI2022★ 102 cited

ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning

Tiantian Chen, Siwen Yan, Jianxiong Guo +1

Aiming at selecting a small subset of nodes with maximum influence on networks, the Influence Maximization (IM) problem has been extensively studied. Since it is #P-hard to compute…

cs.SI2022★ 12 cited

Composite Community-Aware Diversified Influence Maximization with Efficient Approximation

Jianxiong Guo, Qiufen Ni, Weili Wu +1

Influence Maximization (IM) is a famous topic in mobile networks and social computing, which aims at finding a small subset of users to maximize the influence spread through online…

cs.SI2021★ 15 cited

A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks

Tiantian Chen, Bin Liu, Wenjing Liu +3

Online social networks have been one of the most effective platforms for marketing and advertising. Through "word of mouth" effects, information or product adoption could spread fr…

cs.CR2021★ 4 cited

Differential Privacy-Based Online Allocations towards Integrating Blockchain and Edge Computing

Jianxiong Guo, Weili Wu

In recent years, the blockchain-based Internet of Things (IoT) has been researched and applied widely, where each IoT device can act as a node in the blockchain. However, these lig…

cs.SI2021★ 15 cited

Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research

Rong Jin, Weili Wu

Recent years have seen various rumor diffusion models being assumed in detection of rumor source research of the online social network. Diffusion model is arguably considered as a…

cs.NI2020★ 6 cited

A Double Auction for Charging Scheduling among Vehicles Using DAG-Blockchains

Jianxiong Guo, Xingjian Ding, Weili Wu +1

Electric Vehicles (EVs) are becoming more and more popular in our daily life, which replaces traditional fuel vehicles to reduce carbon emissions and protect the environment. EVs n…

cs.CR2020★ 3 cited

Pricing and Budget Allocation for IoT Blockchain with Edge Computing

Xingjian Ding, Jianxiong Guo, Deying Li +1

Attracted by the inherent security and privacy protection of the blockchain, incorporating blockchain into Internet of Things (IoT) has been widely studied in these years. However,…

q-fin.ST2020★ 1 cited

A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction

Xiao Li, Weili Wu

Bitcoin, as one of the most popular cryptocurrency, is recently attracting much attention of investors. Bitcoin price prediction task is consequently a rising academic topic for pr…

cs.NI2020★ 33 cited

Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks

Jianxiong Guo, Xingjian Ding, Weili Wu

The real-time traffic monitoring is a fundamental mission in a smart city to understand traffic conditions and avoid dangerous incidents. In this paper, we propose a reliable and e…

cs.SI2020★ 9 cited

Overall Evaluations on Benefits of Influence When Disturbed by Rivals

Jianxiong Guo, Yapu Zhang, Weili Wu

Influence maximization (IM) is a representative and classic problem that has been studied extensively before. The most important application derived from the IM problem is viral ma…

cs.GT2020

Edge computing based incentivizing mechanism for mobile blockchain in IOT

Liya Xu, Mingzhu Ge, Weili Wu

Mining in the blockchain requires high computing power to solve the hash puzzle for example proof-of-work puzzle. It takes high cost to achieve the calculation of this problem in d…

eess.SP2020★ 1 cited

Edge server deployment scheme of blockchain in IoVs

Liya Xu, Mingzhu Ge, Weili Wu

With the development of intelligent vehicles, security and reliability communication between vehicles has become a key problem to be solved in Internet of vehicles(IoVs). Blockchai…

cs.SI2020★ 8 cited

Adaptive Multi-Feature Budgeted Profit Maximization in Social Networks

Tiantian Chen, Jianxiong Guo, Weili Wu

Online social network has been one of the most important platforms for viral marketing. Most of existing researches about diffusion of adoptions of new products on networks are abo…

cs.NI2020★ 26 cited

An Architecture for Distributed Energies Trading in Byzantine-Based Blockchain

Jianxiong Guo, Xingjian Ding, Weili Wu

With the development of smart cities, not only are all corners of the city connected to each other, but also connected from city to city. They form a large distributed network toge…

cs.SI2020★ 31 cited

Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed

Jianxiong Guo, Weili Wu

Influence maximization problem attempts to find a small subset of nodes that makes the expected influence spread maximized, which has been researched intensively before. They all a…

cs.SI2020★ 10 cited

Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization

Jianxiong Guo, Weili Wu

Profit maximization (PM) is to select a subset of users as seeds for viral marketing in online social networks, which balances between the cost and the profit from influence spread…

cs.SI2020★ 3 cited

A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity

Jianxiong Guo, Weili Wu

Revenue maximization (RM) is one of the most important problems on online social networks (OSNs), which attempts to find a small subset of users in OSNs that makes the expected rev…

cs.CR2020★ 90 cited

Attract More Miners to Join in Blochchain Construction for Internet of Things

Xingjian Ding, Jianxiong Guo, Deying Li +1

The world-changing blockchain technique provides a novel method to establish a secure, trusted and decentralized system for solving the security and personal privacy problems in In…

cs.SI2020★ 14 cited

Continuous Activity Maximization in Online Social Networks

Jianxiong Guo, Tiantian Chen, Weili Wu

Activity maximization is a task of seeking a small subset of users in a given social network that makes the expected total activity benefit maximized. This is a generalization of m…

eess.SP2020★ 89 cited

Combined Cooling, Heating, and Power System in Blockchain-Enabled Energy Management

Jianxiong Guo, Xingjian Ding, Weili Wu

The combined cooling, heating and power (CCHP) system is a typical distributed, electricity-gas integrated energy scheme in a community. First, it generates electricity by use of g…

cs.SI2020★ 7 cited

Influence-based Community Partition with Sandwich Method for Social Networks

Qiufen Ni, Jianxiong Guo, Chuanhe Huang +1

Community partition is an important problem in many areas such as biology network, social network. The objective of this problem is to analyse the relationships among data via the…

cs.SI2020★ 94 cited

Continuous Influence-based Community Partition for Social Networks

Qiufen Ni, Jianxiong Guo, Weili Wu +1

Community partition is of great importance in social networks because of the rapid increasing network scale, data and applications. We consider the community partition problem unde…