IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0143111.html
   My bibliography  Save this article

CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis

Author

Listed:
  • Mahdi Jalili
  • Ali Salehzadeh-Yazdi
  • Yazdan Asgari
  • Seyed Shahriar Arab
  • Marjan Yaghmaie
  • Ardeshir Ghavamzadeh
  • Kamran Alimoghaddam

Abstract

Various disciplines are trying to solve one of the most noteworthy queries and broadly used concepts in biology, essentiality. Centrality is a primary index and a promising method for identifying essential nodes, particularly in biological networks. The newly created CentiServer is a comprehensive online resource that provides over 110 definitions of different centrality indices, their computational methods, and algorithms in the form of an encyclopedia. In addition, CentiServer allows users to calculate 55 centralities with the help of an interactive web-based application tool and provides a numerical result as a comma separated value (csv) file format or a mapped graphical format as a graph modeling language (GML) file. The standalone version of this application has been developed in the form of an R package. The web-based application (CentiServer) and R package (centiserve) are freely available at http://www.centiserver.org/

Suggested Citation

  • Mahdi Jalili & Ali Salehzadeh-Yazdi & Yazdan Asgari & Seyed Shahriar Arab & Marjan Yaghmaie & Ardeshir Ghavamzadeh & Kamran Alimoghaddam, 2015. "CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-8, November.
    • Handle: RePEc:plo:pone00:0143111
    DOI: 10.1371/journal.pone.0143111
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143111
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143111&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0143111?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gabor I Simko & Peter Csermely, 2013. "Nodes Having a Major Influence to Break Cooperation Define a Novel Centrality Measure: Game Centrality," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    2. Mahendra Piraveenan & Mikhail Prokopenko & Liaquat Hossain, 2013. "Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-14, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dean Neu & Gregory D. Saxton & Abu S. Rahaman, 2022. "Social Accountability, Ethics, and the Occupy Wall Street Protests," Journal of Business Ethics, Springer, vol. 180(1), pages 17-31, September.
    2. Emily P. Harvey & Dion R. J. O'Neale, 2019. "Using network science to quantify economic disruptions in regional input-output networks," Papers 1910.12498, arXiv.org.
    3. Shion Takemura & Hidetomo Tajima & Juri Hori & Mitsutaku Makino & John Banana Matewere & Dorothea Agnes Rampisela & Tetsu Sato, 2022. "Autonomous Innovations in Rural Communities of Developing Countries II—Causal Network and Leverage Point Analyses of Transformations," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Gündüç, Semra & Eryiğit, Recep, 2021. "Time dependent correlations between the probability of a node being infected and its centrality measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Vladimír Baláž & Tomáš Jeck & Miroslav Balog, 2024. "Knowledge Transfers and Business Performance in Creative Networks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4428-4454, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mira A. Kantemirova & Zaur L. Dzakoev & Zara R. Alikova & Sergei R. Chedgemov & Zarina V. Soskieva, 2018. "Percolation approach to simulation of a sustainable network economy structure," Post-Print hal-01773587, HAL.
    2. King, Maia, 2020. "The probabilities of node-to-node diffusion in fixed networks," SocArXiv dfq8y, Center for Open Science.
    3. Anita Mezzetti & Loic Mar'echal & Dimitri Percia David & William Lacube & S'ebastien Gillard & Michael Tsesmelis & Thomas Maillart & Alain Mermoud, 2022. "TechRank," Papers 2210.07824, arXiv.org.
    4. Mira A. Kantemirova & Mira A. Kantemirova & Zaur L. Dzakoev & Zara R. Alikova & Sergei R. Chedgemov & Sergei R. Chedgemov & Zarina V. Soskieva & Zarina V. Soskieva, 2018. "Percolation approach to simulation of a sustainable network economy structure," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 5(3), pages 502-513, March.
    5. Nasirian, Farzaneh & Mahdavi Pajouh, Foad & Balasundaram, Balabhaskar, 2020. "Detecting a most closeness-central clique in complex networks," European Journal of Operational Research, Elsevier, vol. 283(2), pages 461-475.
    6. Shota Tabata, 2024. "A centrality measure for grid street network considering sequential route choice behaviour," Environment and Planning B, , vol. 51(3), pages 610-624, March.
    7. Zádor, Zsófia & Zhu, Zhen & Smith, Matthew & Gorgoni, Sara, 2022. "A weighted and normalized Gould–Fernandez brokerage measure," Greenwich Papers in Political Economy 37794, University of Greenwich, Greenwich Political Economy Research Centre.
    8. Sheryl Le Chang & Mahendra Piraveenan & Mikhail Prokopenko, 2019. "The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model," IJERPH, MDPI, vol. 16(14), pages 1-31, July.
    9. Víctor Martínez & Fernando Berzal & Juan-Carlos Cubero, 2019. "NOESIS: A Framework for Complex Network Data Analysis," Complexity, Hindawi, vol. 2019, pages 1-14, October.
    10. Belik, Ivan & Jörnsten, Kurt, 2014. "Centrality Computation in Weighted Networks Based on Edge-Splitting Procedure," Discussion Papers 2014/40, Norwegian School of Economics, Department of Business and Management Science.
    11. Feng, Yuhao & Wu, Shufan & Wu, Peixin & Su, Shiliang & Weng, Min & Bian, Meng, 2018. "Spatiotemporal characterization of megaregional poly-centrality: Evidence for new urban hypotheses and implications for polycentric policies," Land Use Policy, Elsevier, vol. 77(C), pages 712-731.
    12. Kovalenko, K. & Romance, M. & Vasilyeva, E. & Aleja, D. & Criado, R. & Musatov, D. & Raigorodskii, A.M. & Flores, J. & Samoylenko, I. & Alfaro-Bittner, K. & Perc, M. & Boccaletti, S., 2022. "Vector centrality in hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    13. Ullah, Farman & Lee, Sungchang, 2017. "Identification of influential nodes based on temporal-aware modeling of multi-hop neighbor interactions for influence spread maximization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 968-985.
    14. Elhem Ben Fatma & Ezzeddine Ben Mohamed & Léo-Paul Dana & Sami Boudabbous, 2021. "Does entrepreneurs’ psychology affect their business venture success? Empirical findings from North Africa," International Entrepreneurship and Management Journal, Springer, vol. 17(2), pages 921-962, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0143111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.