4.6 Article

A Novel Top-k Strategy for Influence Maximization in Complex Networks with Community Structure

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。
Article Computer Science, Artificial Intelligence

Defining and evaluating network communities based on ground-truth

Jaewon Yang et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2015)

Article Mathematics, Applied

Epidemic spreading in time-varying community networks

Guangming Ren et al.

Article Physics, Multidisciplinary

Iterative resource allocation for ranking spreaders in complex networks

Zhuo-Ming Ren et al.

Article Physics, Multidisciplinary

Identifying influential nodes based on local dimension

Jun Pu et al.

Article Physics, Multidisciplinary

Identifying effective multiple spreaders by coloring complex networks

Xiang-Yu Zhao et al.

Article Physics, Multidisciplinary

Identifying and ranking influential spreaders in complex networks by neighborhood coreness

Joonhyun Bae et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2014)

Article Physics, Multidisciplinary

Path diversity improves the identification of influential spreaders

Duan-Bing Chen et al.

Article Biology

Immunization strategies for epidemic processes in time-varying contact networks

Michele Starnini et al.

JOURNAL OF THEORETICAL BIOLOGY (2013)

Article Computer Science, Artificial Intelligence

Identifying influential nodes in complex networks with community structure

Xiaohang Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2013)

Article Multidisciplinary Sciences

Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering

Duan-Bing Chen et al.

PLOS ONE (2013)

Article Physics, Multidisciplinary

Identifying influential nodes in complex networks

Duanbing Chen et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2012)

Article Multidisciplinary Sciences

Identifying Influential and Susceptible Members of Social Networks

Sinan Aral et al.

SCIENCE (2012)

Article Automation & Control Systems

A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks

Ramasuri Narayanam et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2011)

Article Multidisciplinary Sciences

Leaders in Social Networks, the Delicious Case

Linyuan Lue et al.

PLOS ONE (2011)

Article Multidisciplinary Sciences

The Network of Global Corporate Control

Stefania Vitali et al.

PLOS ONE (2011)

Article Multidisciplinary Sciences

Catastrophic cascade of failures in interdependent networks

Sergey V. Buldyrev et al.

NATURE (2010)

Article Physics, Multidisciplinary

Identification of influential spreaders in complex networks

Maksim Kitsak et al.

NATURE PHYSICS (2010)

Article Multidisciplinary Sciences

The Spread of Behavior in an Online Social Network Experiment

Damon Centola

SCIENCE (2010)

Article Multidisciplinary Sciences

Detecting influenza epidemics using search engine query data

Jeremy Ginsberg et al.

NATURE (2009)

Article Physics, Multidisciplinary

Detecting the overlapping and hierarchical community structure in complex networks

Andrea Lancichinetti et al.

NEW JOURNAL OF PHYSICS (2009)

Article Multidisciplinary Sciences

Understanding the Spreading Patterns of Mobile Phone Viruses

Pu Wang et al.

SCIENCE (2009)

Article Mechanics

Fast unfolding of communities in large networks

Vincent D. Blondel et al.

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2008)

Article Physics, Fluids & Plasmas

Benchmark graphs for testing community detection algorithms

Andrea Lancichinetti et al.

PHYSICAL REVIEW E (2008)

Article Physics, Multidisciplinary

Epidemic spreading on heterogeneous networks with identical infectivity

Rui Yang et al.

PHYSICS LETTERS A (2007)

Article Multidisciplinary Sciences

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)

Article Physics, Multidisciplinary

Network robustness and fragility: Percolation on random graphs

DS Callaway et al.

PHYSICAL REVIEW LETTERS (2000)

Article Multidisciplinary Sciences

Error and attack tolerance of complex networks

R Albert et al.

NATURE (2000)