Media Summary: Authors: Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart Abstract: Social networks are commonly used for ... Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ... Dr. Divya Padmanabhan is an Assistant Professor at the School of Mathematics and Computer Science at IIT Goa. Previously she ...

Online Influence Maximization - Detailed Analysis & Overview

Authors: Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart Abstract: Social networks are commonly used for ... Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ... Dr. Divya Padmanabhan is an Assistant Professor at the School of Mathematics and Computer Science at IIT Goa. Previously she ... All right guys let's get started um the topic for today's lecture is information diffusion and Authors: Lichao Sun (University of Illinois at Chicago); Weiran Huang (Tsinghua University); Philip Yu (University of Illinois at ... Author: Xinran He, Computer Science Department, University of Southern California Abstract: Uncertainty about models and data ...

A Fractional Memory Efficient Approach for Online Continuous-time Influence Maximization Talk from Fourth International Conference on Big-Data and Cloud Computing (ICBDCC2021) recorded by ICBDCC2021 ...

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Online Influence Maximization
Influence Maximization with Visual Analytics | VIS 2023
Factorization Bandits for Online Influence Maximization
Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks
CS224W--Lecture 14  Influence Maximization in Networks(2018)
Lecture 18. Diffusion of Information and Influence Maximization
Multi-Round Influence Maximization
Robust Influence Maximization
Influence Maximization in Social Networks using Effective Community Detection
A Fractional Memory Efficient Approach for Online Continuous-time Influence Maximization
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
Using sequential seeding for influence maximization in social networks
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Online Influence Maximization

Online Influence Maximization

Authors: Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart Abstract: Social networks are commonly used for ...

Influence Maximization with Visual Analytics | VIS 2023

Influence Maximization with Visual Analytics | VIS 2023

TVCG Invited Presentations:

Factorization Bandits for Online Influence Maximization

Factorization Bandits for Online Influence Maximization

Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ...

Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks

Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks

Dr. Divya Padmanabhan is an Assistant Professor at the School of Mathematics and Computer Science at IIT Goa. Previously she ...

CS224W--Lecture 14  Influence Maximization in Networks(2018)

CS224W--Lecture 14 Influence Maximization in Networks(2018)

Influence Maximization

Lecture 18. Diffusion of Information and Influence Maximization

Lecture 18. Diffusion of Information and Influence Maximization

All right guys let's get started um the topic for today's lecture is information diffusion and

Multi-Round Influence Maximization

Multi-Round Influence Maximization

Authors: Lichao Sun (University of Illinois at Chicago); Weiran Huang (Tsinghua University); Philip Yu (University of Illinois at ...

Robust Influence Maximization

Robust Influence Maximization

Author: Xinran He, Computer Science Department, University of Southern California Abstract: Uncertainty about models and data ...

Influence Maximization in Social Networks using Effective Community Detection

Influence Maximization in Social Networks using Effective Community Detection

Title:

A Fractional Memory Efficient Approach for Online Continuous-time Influence Maximization

A Fractional Memory Efficient Approach for Online Continuous-time Influence Maximization

A Fractional Memory Efficient Approach for Online Continuous-time Influence Maximization

Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling

Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling

... about today is

Using sequential seeding for influence maximization in social networks

Using sequential seeding for influence maximization in social networks

Talk from Fourth International Conference on Big-Data and Cloud Computing (ICBDCC2021) recorded by ICBDCC2021 ...

Xiaokui Xiao, NUS, Online Processing Algorithms for Influence Maximization

Xiaokui Xiao, NUS, Online Processing Algorithms for Influence Maximization

Xiaokui Xiao, NUS,