Host Profit Maximization: Leveraging Performance Incentives and User Flexibility
The social network host has knowledge of the network structure and user characteristics and
can earn a profit by providing merchants with viral marketing campaigns. We investigate the …
can earn a profit by providing merchants with viral marketing campaigns. We investigate the …
Order-sensitive competitive revenue maximization for viral marketing in social networks
Abstract The Competitive Influence Maximization (CIM) problem is a critical issue in viral
marketing, focusing on selecting a set of influential individuals, known as seed users, for …
marketing, focusing on selecting a set of influential individuals, known as seed users, for …
Fast Query Answering by Labeling Index on Uncertain Graphs
Given the ubiquity of Uncertain Graphs (UGs), the field of UG mining has garnered
increasing attention. Among various mining tasks, query processing stands out as the most …
increasing attention. Among various mining tasks, query processing stands out as the most …
Time and value aware influence blocking maximization in geo-social networks
W Zhu, C Peng, Y Miao, Y Bai, Y Diao… - The Journal of …, 2024 - Springer
The influence blocking maximization (IBM) problem aims to identify the most influential set of
positive nodes in a social network to prevent the propagation of negative information …
positive nodes in a social network to prevent the propagation of negative information …
Diversified-profit maximization in competitive social advertising
L Du, S Gao, W Yang - Journal of Combinatorial Optimization, 2023 - Springer
Due to the important role that social networks play in advertisements and propaganda,
influence maximization (IM) problem which aims at finding some influential users as seeds …
influence maximization (IM) problem which aims at finding some influential users as seeds …
Team Composition for Competitive Information Spread: Dual-Diversity Maximization Based on Information and Team
L Du, W Yang, S Gao - IEEE Transactions on Computational …, 2024 - ieeexplore.ieee.org
Social-media platforms provide citizens a new way to stay informed and offer marketers a
shot at promoting their brand. In social advertising, information diversity can create a level …
shot at promoting their brand. In social advertising, information diversity can create a level …
Robust sequence networked submodular maximization
In this paper, we study the Robust optimization for sequence Networked submodular
maximization (RoseNets) problem. We interweave the robust optimization with the sequence …
maximization (RoseNets) problem. We interweave the robust optimization with the sequence …
Profit Maximization in Online Influencer Marketing From the Perspective of Modified Agent-Based Modeling
L Du, W Yang, S Gao - IEEE Transactions on Computational …, 2024 - ieeexplore.ieee.org
To provide a new perspective for understanding the dynamics of advertising campaigns in
online influencer marketing (OIM), this article proposes the modified agent-based (MAB) …
online influencer marketing (OIM), this article proposes the modified agent-based (MAB) …
Moderating Effect of Organizational Factors on the Relationship between Data Factors and Profit Maximization: A Study of Big Data Adoption in Chinese SMEs Retail …
J Chen, YF Chang… - Transnational Marketing …, 2024 - transnationalmarket.com
In the context of digital transformation, small and medium-sized enterprises (SMEs) within
the retail sector are increasingly pressured to adopt data-driven strategies to enhance …
the retail sector are increasingly pressured to adopt data-driven strategies to enhance …
Jointly Complementary&Competitive Influence Maximization with Concurrent Ally-Boosting and Rival-Preventing
In this paper, we propose a new influence spread model, namely, Complementary\
&Competitive Independent Cascade (C $^ 2$ IC) model. C $^ 2$ IC model generalizes three …
&Competitive Independent Cascade (C $^ 2$ IC) model. C $^ 2$ IC model generalizes three …