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A systematic survey of centrality measures for protein-protein interaction networks

https://doi.org/10.1101/149492
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Virtual identification of essential proteins within the protein interaction network of yeast
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Principal component analysis
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Weighted Network Analysis
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UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View
inferredcites →https://doi.org/10.1007/978-3-642-21786-9_40openalex-snapshot
A New Centrality Measure for Influence Maximization in Social Networks
inferredcites →https://doi.org/10.1007/s12599-010-0127-3openalex-snapshot
A Critical Review of Centrality Measures in Social Networks
inferredcites →https://doi.org/10.1016/0148-2963(90)90010-bopenalex-snapshot
Structure, context, and centrality in interorganizational networks
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/0378-8733(78)90021-7openalex-snapshot
Centrality in social networks conceptual clarification
inferredcites →https://doi.org/10.1016/0378-8733(89)90016-6openalex-snapshot
Rethinking centrality: Methods and examples
inferredcites →https://doi.org/10.1016/0378-8733(94)00248-9openalex-snapshot
Eccentricity and centrality in networks
inferredcites →https://doi.org/10.1016/j.ins.2011.12.027openalex-snapshot
Laplacian centrality: A new centrality measure for weighted networks
inferredcites →https://doi.org/10.1016/j.knosys.2012.01.007openalex-snapshot
A novel measure of edge centrality in social networks
inferredcites →https://doi.org/10.1016/j.pharmthera.2013.01.016openalex-snapshot
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
inferredcites →https://doi.org/10.1016/j.physa.2005.12.020openalex-snapshot
Residual closeness in networks
inferredcites →https://doi.org/10.1016/j.physa.2009.02.013openalex-snapshot
Lobby index in networks
inferredcites →https://doi.org/10.1016/j.socnet.2005.11.005openalex-snapshot
A Graph-theoretic perspective on centrality
inferredcites →https://doi.org/10.1038/35075138openalex-snapshot
Lethality and centrality in protein networks
inferredcites →https://doi.org/10.1038/msb.2009.89openalex-snapshot
A systems biology tour de force for a near‐minimal bacterium
inferredcites →https://doi.org/10.1038/ncomms4231openalex-snapshot
Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
inferredcites →https://doi.org/10.1038/srep19307openalex-snapshot
Locating influential nodes in complex networks
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1086/228631openalex-snapshot
Power and Centrality: A Family of Measures
inferredcites →https://doi.org/10.1093/bib/bbv094openalex-snapshot
Updates on drug–target network; facilitating polypharmacology and data integration by growth of DrugBank database
inferredcites →https://doi.org/10.1093/bioinformatics/btg177openalex-snapshot
The connectivity structure, giant strong component and centrality of metabolic networks
inferredcites →https://doi.org/10.1093/bioinformatics/bts106openalex-snapshot
CentiLib: comprehensive analysis and exploration of network centralities
inferredcites →https://doi.org/10.1093/molbev/msi072openalex-snapshot
Comparative Genomics of Centrality and Essentiality in Three Eukaryotic Protein-Interaction Networks
inferredcites →https://doi.org/10.1093/nar/gkn257openalex-snapshot
Hubba: hub objects analyzer—a framework of interactome hubs identification for network biology
inferredcites →https://doi.org/10.1093/nar/gkw937openalex-snapshot
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
inferredcites →https://doi.org/10.1098/rspb.2001.1711openalex-snapshot
The small world inside large metabolic networks
inferredcites →https://doi.org/10.1103/physreve.71.056103openalex-snapshot
Subgraph centrality in complex networks
inferredcites →https://doi.org/10.1103/physrevlett.87.198701openalex-snapshot
Efficient Behavior of Small-World Networks
inferredcites →https://doi.org/10.1140/epjb/e2015-50671-yopenalex-snapshot
Correlation between centrality metrics and their application to the opinion model
inferredcites →https://doi.org/10.1142/9781860949852_0015openalex-snapshot
FUNCTIONAL CENTRALITY: DETECTING LETHALITY OF PROTEINS IN PROTEIN INTERACTION NETWORKS
inferredcites →https://doi.org/10.1145/324133.324140openalex-snapshot
Authoritative sources in a hyperlinked environment
inferredcites →https://doi.org/10.1145/956750.956782openalex-snapshot
Algorithms for estimating relative importance in networks
inferredcites →https://doi.org/10.1155/jbb.2005.96openalex-snapshot
High‐Betweenness Proteins in the Yeast Protein Interaction Network
inferredcites →https://doi.org/10.1186/1471-2105-7-1openalex-snapshot
Fast-Find: A novel computational approach to analyzing combinatorial motifs
inferredcites →https://doi.org/10.1186/1471-2105-9-1openalex-snapshot
Evaluation of time profile reconstruction from complex two-color microarray designs
inferredcites →https://doi.org/10.1186/1752-0509-3-102openalex-snapshot
How to identify essential genes from molecular networks?
inferredcites →https://doi.org/10.1186/s12859-014-0430-yopenalex-snapshot
Predicting protein functions using incomplete hierarchical labels
inferredcites →https://doi.org/10.1186/s40064-015-0963-1openalex-snapshot
Social network analysis - centrality parameters and individual network positions of agonistic behavior in pigs over three different age levels
inferredcites →https://doi.org/10.1371/journal.pbio.0020009openalex-snapshot
Similarities and Differences in Genome-Wide Expression Data of Six Organisms
inferredcites →https://doi.org/10.1371/journal.pcbi.1000140openalex-snapshot
Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality
inferredcites →https://doi.org/10.1371/journal.pgen.0020088openalex-snapshot
Why Do Hubs Tend to Be Essential in Protein Networks?
inferredcites →https://doi.org/10.1371/journal.pone.0012200openalex-snapshot
A New Measure of Centrality for Brain Networks
inferredcites →https://doi.org/10.1371/journal.pone.0077455openalex-snapshot
Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering
inferredcites →https://doi.org/10.1371/journal.pone.0090283openalex-snapshot
Towards a Methodology for Validation of Centrality Measures in Complex Networks
inferredcites →https://doi.org/10.1371/journal.pone.0130743openalex-snapshot
Rechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction Networks
inferredcites →https://doi.org/10.1371/journal.pone.0143111openalex-snapshot
CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis
inferredcites →https://doi.org/10.18637/jss.v025.i04openalex-snapshot
clValid : An R Package for Cluster Validation
inferredcites →https://doi.org/10.3389/fphys.2016.00375openalex-snapshot
Evolution of Centrality Measurements for the Detection of Essential Proteins in Biological Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.patcog.2019.107183openalex-snapshot
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks
inferred← citeshttps://doi.org/10.1101/168757openalex-snapshot
CINNA: An R/CRAN package to decipher Central Informative Nodes in Network Analysis
inferred← citeshttps://doi.org/10.1109/i-smac49090.2020.9243484openalex-snapshot
A Correlative Study of Centrality Measures across Real-World Networks
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