相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks
Jianxin Tang et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
Amrita Namtirtha et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Identification of influential users in social network using gray wolf optimization algorithm
Ahmad Zareie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Influential spreaders identification in complex networks with potential edge weight based k-shell degree neighborhood method
Giridhar Maji
JOURNAL OF COMPUTATIONAL SCIENCE (2020)
Influential spreaders identification in complex networks with improved k-shell hybrid method
Giridhar Maji et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
A most influential node group discovery method for influence maximization in social networks: A trust-based perspective
Bo Zhang et al.
DATA & KNOWLEDGE ENGINEERING (2019)
Influential node ranking in social networks based on neighborhood diversity
Ahmad Zareie et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Identifying influential nodes in complex networks based on Neighbours and edges
Zengzhen Shao et al.
PEER-TO-PEER NETWORKING AND APPLICATIONS (2019)
Identifying influential spreaders by gravity model
Zhe Li et al.
SCIENTIFIC REPORTS (2019)
Opinion leader detection: A methodological review
Seyed Mojtaba Hosseini Bamakan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Ranking nodes in complex networks based on local structure and improving closeness centrality
Chiman Salavati et al.
NEUROCOMPUTING (2019)
EHC: Extended H-index Centrality measure for identification of users' spreading influence in complex networks
Ahmad Zareie et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization
Jianxin Tang et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
A hybrid strategy for network immunization
Xianghua Li et al.
CHAOS SOLITONS & FRACTALS (2018)
Active viral marketing: Incorporating continuous active seeding efforts into the diffusion model
Alon Sela et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Influence maximization in social networks based on TOPSIS
Ahmad Zareie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
A hierarchical approach for influential node ranking in complex social networks
Ahmad Zareie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient
Mengtian Li et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B (2018)
Identifying topical influencers on twitter based on user behavior and network topology
Zeynep Zengin Alp et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Identifying influential spreaders in complex networks based on kshell hybrid method
Amrita Namtirtha et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)
Overlapping influence inspires the selection of multiple spreaders in complex networks
Ming-Yang Zhou et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)
Finding influential nodes for integration in brain networks using optimal percolation theory
Gino Del Ferraro et al.
NATURE COMMUNICATIONS (2018)
Identification of influential spreaders in complex networks using HybridRank algorithm
Sara Ahajjam et al.
SCIENTIFIC REPORTS (2018)
Identification of multi-spreader users in social networks for viral marketing
Amir Sheikhahmadi et al.
JOURNAL OF INFORMATION SCIENCE (2017)
Maximizing micro-blog influence in online promotion
Feng Li et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Identifying and ranking influential spreaders in complex networks with consideration of spreading probability
Qian Ma et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)
A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks
Junyi Wang et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)
Multilabel user classification using the community structure of online networks
Georgios Rizos et al.
PLOS ONE (2017)
Efficient collective influence maximization in cascading processes with first-order transitions
Sen Pei et al.
SCIENTIFIC REPORTS (2017)
A novel method of evaluating key nodes in complex networks
Canshi Zhu et al.
CHAOS SOLITONS & FRACTALS (2017)
Identify influential spreaders in complex networks, the role of neighborhood
Ying Liu et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2016)
Identifying influential spreaders in complex networks based on gravity formula
Ling-ling Ma et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2016)
Vital nodes identification in complex networks
Linyuan Lu et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2016)
The H-index of a network node and its relation to degree and coreness
Linyuan Lue et al.
NATURE COMMUNICATIONS (2016)
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Xian Teng et al.
SCIENTIFIC REPORTS (2016)
Identifying a set of influential spreaders in complex networks
Jian-Xiong Zhang et al.
SCIENTIFIC REPORTS (2016)
Collective Influence Algorithm to find influencers via optimal percolation in massively large social media
Flaviano Morone et al.
SCIENTIFIC REPORTS (2016)
Leveraging percolation theory to single out influential spreaders in networks
Filippo Radicchi et al.
PHYSICAL REVIEW E (2016)
Epidemic spreading and global stability of an SIS model with an infective vector on complex networks
Huiyan Kang et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2015)
Influence maximization in complex networks through optimal percolation
Flaviano Morone et al.
NATURE (2015)
Weighted k-shell decomposition for complex networks based on potential edge weights
Bo Wei et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2015)
Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition
Ying Liu et al.
SCIENTIFIC REPORTS (2015)
Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics
Ying Liu et al.
SCIENTIFIC REPORTS (2015)
Iterative resource allocation for ranking spreaders in complex networks
Zhuo-Ming Ren et al.
EPL (2014)
SuperedgeRank algorithm and its application in identifying opinion leader of online public opinion supernetwork
Ning Ma et al.
EXPERT SYSTEMS WITH APPLICATIONS (2014)
An exploratory analysis on the evolution of the US airport network
Tao Jia et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2014)
Identifying and ranking influential spreaders in complex networks by neighborhood coreness
Joonhyun Bae et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2014)
Searching for superspreaders of information in real-world social media
Sen Pei et al.
SCIENTIFIC REPORTS (2014)
Ranking the spreading influence in complex networks
Jian-Guo Liu et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2013)
Ranking spreaders by decomposing complex networks
An Zeng et al.
PHYSICS LETTERS A (2013)
A k-shell decomposition method for weighted networks
Antonios Garas et al.
NEW JOURNAL OF PHYSICS (2012)
Identifying all-around nodes for spreading dynamics in complex networks
Bonan Hou et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2012)
Identifying influential nodes in complex networks
Duanbing Chen et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2012)
Robust network community detection using balanced propagation
L. Subelj et al.
EUROPEAN PHYSICAL JOURNAL B (2011)
Controllability of complex networks
Yang-Yu Liu et al.
NATURE (2011)
The Dynamics of Protest Recruitment through an Online Network
Sandra Gonzalez-Bailon et al.
SCIENTIFIC REPORTS (2011)
Identification of influential spreaders in complex networks
Maksim Kitsak et al.
NATURE PHYSICS (2010)
Thresholds for Epidemic Spreading in Networks
Claudio Castellano et al.
PHYSICAL REVIEW LETTERS (2010)
Optimal tree for both synchronizability and converging time
A. Zeng et al.
EPL (2009)
Some unique properties of eigenvector centrality
Phillip Bonacich
SOCIAL NETWORKS (2007)
A model of Internet topology using k-shell decomposition
Shai Carmi et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Community detection in complex networks using extremal optimization
J Duch et al.
PHYSICAL REVIEW E (2005)
A measure of betweenness centrality based on random walks
MEJ Newman
SOCIAL NETWORKS (2005)
Structural vulnerability of the North American power grid
R Albert et al.
PHYSICAL REVIEW E (2004)
Community structure in jazz
PM Gleiser et al.
ADVANCES IN COMPLEX SYSTEMS (2003)
The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations - Can geographic isolation explain this unique trait?
D Lusseau et al.
BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY (2003)
The structure and function of complex networks
MEJ Newman
SIAM REVIEW (2003)
Spread of epidemic disease on networks
MEJ Newman
PHYSICAL REVIEW E (2002)
Community structure in social and biological networks
M Girvan et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
A simple model of global cascades on random networks
DJ Watts
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
Epidemic outbreaks in complex heterogeneous networks
Y Moreno et al.
EUROPEAN PHYSICAL JOURNAL B (2002)
Talk of the network: A complex systems look at the underlying process of word-of-mouth
J Goldenberg et al.
MARKETING LETTERS (2001)
Epidemic spreading in scale-free networks
R Pastor-Satorras et al.
PHYSICAL REVIEW LETTERS (2001)