Pyntacle: a parallel computing-enabled framework for large-scale network biology analysis

L Parca, M Truglio, T Biagini, S Castellana… - …, 2020 - academic.oup.com
Background Some natural systems are big in size, complex, and often characterized by
convoluted mechanisms of interaction, such as epistasis, pleiotropy, and trophism, which …

[HTML][HTML] On the centrality analysis of covert networks using games with externalities

A Saavedra–Nieves, B Casas–Méndez - European Journal of Operational …, 2023 - Elsevier
The identification of the most potentially hazardous agents in a terrorist organisation helps to
prevent further attacks by effectively allocating surveillance resources and destabilising the …

[HTML][HTML] A connection-based analysis of networks using the position value: a computational approach

E Algaba, A Saavedra-Nieves - Expert Systems with Applications, 2024 - Elsevier
In this paper, we introduce the position value as a centrality measure to evaluate the
relevance of the edges and players in a network, with the additional advantage that this …

Design optimization of food safety monitoring system with social network analysis

L Wang - IEEE Transactions on Computational Social Systems, 2018 - ieeexplore.ieee.org
Food safety management is an important issue in human health and social stability. It is
prohibitively expensive to monitor all network nodes because of the large scale of food …

Compact models for influential nodes identification problem in directed networks

C Jiang, X Liu, J Zhang, X Yu - Chaos: An Interdisciplinary Journal of …, 2020 - pubs.aip.org
Influential nodes identification problem (INIP) is one of the most important problems in
complex networks. Existing methods mainly deal with this problem in undirected networks …

[PDF][PDF] 基于关键节点积极效应模型的快递物流网络点集挖掘

吴旗韬, 李苑庭, 吴海玲, 杨昀昊, 武俊强 - 复杂系统与复杂性科学, 2025 - fzkx.qdu.edu.cn
针对快递物流网络中点集挖掘问题, 基于关键节点积极效应模型构建DW-KPP-Pos 模型,
并设计一种启发式算法提升模型运算效率. 对中国快递物流网络的实证分析表明 …

[HTML][HTML] 社交网络关键节点检测的积极效应问题

王新栋, 于华, 江成 - 2019 - html.rhhz.net
在社交网络中, 识别有影响力的关键节点对于调控网络至关重要, 是网络科学最前沿热点的研究
内容. 然而, 现有方法大多基于局部特征进行求解, 缺乏对网络整体结构的建模 …

Detecting multiple key players under the positive effect by using a distance-based connectivity approach

C Jiang, Z Liu - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
Key players problems aim to detect multiple players that optimize certain metrics on the
network structure and function from two aspects, ie, the negative effect and positive effect …

Research on Multi-Layer Propagation for Detecting Key Nodes of Positive Effects in Social Networks

S Liu, C Jiang, H Yu, J Sui - 2019 4th International Conference …, 2019 - ieeexplore.ieee.org
In social networks, the identification of key nodes has become a hot research direction
because of its important theoretical significance and extensive practical application. Most of …

[引用][C] A connection-based analysis of networks using the position value: a computational approach

E Algaba Durán, A Saavedra Nieves - Expert Systems with Applications …, 2024 - Elsevier