Maximizing the spread of influence through a social network

D Kempe, J Kleinberg, É Tardos - … of the ninth ACM SIGKDD international …, 2003 - dl.acm.org
Models for the processes by which ideas and influence propagate through a social network
have been studied in a number of domains, including the diffusion of medical and …

Maximizing monotone submodular functions over the integer lattice

T Soma, Y Yoshida - Mathematical Programming, 2018 - Springer
The problem of maximizing non-negative monotone submodular functions under a certain
constraint has been intensively studied in the last decade. In this paper, we address the …

Fast maximization of non-submodular, monotonic functions on the integer lattice

A Kuhnle, JD Smith, V Crawford… - … Conference on Machine …, 2018 - proceedings.mlr.press
The optimization of submodular functions on the integer lattice has received much attention
recently, but the objective functions of many applications are non-submodular. We provide …

Revenue maximization in incentivized social advertising

C Aslay, F Bonchi, LVS Lakshmanan, W Lu - arxiv preprint arxiv …, 2016 - arxiv.org
Incentivized social advertising, an emerging marketing model, provides monetization
opportunities not only to the owners of the social networking platforms but also to their …

Least-cost influence maximization on social networks

D Günneç, S Raghavan… - INFORMS Journal on …, 2020 - pubsonline.informs.org
Viral-marketing strategies are of significant interest in the online economy. Roughly, in these
problems, one seeks to identify which individuals to strategically target in a social network so …

Influence maximization in social networks under an independent cascade-based model

Q Wang, Y **, Z Lin, S Cheng, T Yang - Physica A: Statistical Mechanics …, 2016 - Elsevier
The rapid growth of online social networks is important for viral marketing. Influence
maximization refers to the process of finding influential users who make the most of …

A branch‐and‐cut approach for the least cost influence problem on social networks

D Günneç, S Raghavan, R Zhang - Networks, 2020 - Wiley Online Library
This paper studies a problem in the online targeted marketing setting called the least cost
influence problem (LCIP) that is known to be NP‐hard. The goal is to find the minimum total …

Efficient influence maximization under TSCM: a suitable diffusion model in online social networks

Y Qin, J Ma, S Gao - Soft Computing, 2017 - Springer
The study on influence modeling is to understand the information diffusion and word-of-
mouth marketing. Independent Cascade Model (ICM) is the most widely studied theoretical …

Maximizing influence in an ising network: A mean-field optimal solution

C Lynn, DD Lee - Advances in neural information …, 2016 - proceedings.neurips.cc
Influence maximization in social networks has typically been studied in the context of
contagion models and irreversible processes. In this paper, we consider an alternate model …

A systematic review protocol: social network analysis of tobacco use

R Maddox, R Davey, R Lovett, A van der Sterren… - Systematic reviews, 2014 - Springer
Background Tobacco use is the single most preventable cause of death in the world.
Evidence indicates that behaviours such as tobacco use can influence social networks, and …