An efficient adaptive degree-based heuristic algorithm for influence maximization in hypergraphs

M Xie, XX Zhan, C Liu, ZK Zhang - Information Processing & Management, 2023 - Elsevier
Influence maximization (IM) has shown wide applicability in immense fields over the past
decades. Previous researches on IM mainly focused on the dyadic relationship but lacked …

Social Network Analysis: A Survey on Process, Tools, and Application

SS Singh, S Muhuri, S Mishra, D Srivastava… - ACM Computing …, 2024 - dl.acm.org
Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …

[HTML][HTML] Influence maximization in social networks: Theories, methods and challenges

Y Ye, Y Chen, W Han - Array, 2022 - Elsevier
Influence maximization (IM) is the process of choosing a set of seeds from a social network
so that the most individuals will be influenced by them. Calculating the social effect of a …

Ranking influential spreaders based on both node k-shell and structural hole

Z Zhao, D Li, Y Sun, R Zhang, J Liu - Knowledge-Based Systems, 2023 - Elsevier
The ranking of individual spreaders aims to measure the influential capability of individual
nodes and is important to control information spreading in a network. However, many …

A survey on influence maximization: From an ml-based combinatorial optimization

Y Li, H Gao, Y Gao, J Guo, W Wu - ACM Transactions on Knowledge …, 2023 - dl.acm.org
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 …

[HTML][HTML] Disintegrate hypergraph networks by attacking hyperedge

H Peng, C Qian, D Zhao, M Zhong, X Ling… - Journal of King Saud …, 2022 - Elsevier
Throughout the last two decades, complex systems have been modeled as complex
networks by capturing pairwise interactions. However, as research has progressed, it has …

[HTML][HTML] Effects of network temporality on coevolution spread epidemics in higher-order network

Y Nie, X Zhong, T Wu, Y Liu, T Lin, W Wang - Journal of King Saud …, 2022 - Elsevier
Interactions between people, including pairwise and higher-order interactions, can be
approximated as temporal higher-order networks, where the connections are constantly …

[HTML][HTML] Influence maximization on hypergraphs via multi-hop influence estimation

X Gong, H Wang, X Wang, C Chen, W Zhang… - Information Processing …, 2024 - Elsevier
Influence Maximization (IM) has promising applications in social network marketing and has
been extensively researched over the past years. However, previous IM studies mainly focus …

[HTML][HTML] Multi-view learning-based heterogeneous network representation learning

L Chen, Y Li, X Deng - Journal of King Saud University-Computer and …, 2023 - Elsevier
Network representation learning is an important tool for extracting latent features from
heterogeneous networks to enhance downstream analysis tasks. However, for …

Social network analysis: a survey on measure, structure, language information analysis, privacy, and applications

SS Singh, V Srivastava, A Kumar, S Tiwari… - ACM Transactions on …, 2023 - dl.acm.org
The rapid growth in popularity of online social networks provides new opportunities in
computer science, sociology, math, information studies, biology, business, and more. Social …