IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v422y2015icp25-39.html
   My bibliography  Save this article

Degree correlations in signed social networks

Author

Listed:
  • Ciotti, Valerio
  • Bianconi, Ginestra
  • Capocci, Andrea
  • Colaiori, Francesca
  • Panzarasa, Pietro

Abstract

We investigate degree correlations in two online social networks where users are connected through different types of links. We find that, while subnetworks in which links have a positive connotation, such as endorsement and trust, are characterized by assortative mixing by degree, networks in which links have a negative connotation, such as disapproval and distrust, are characterized by disassortative patterns. We introduce a class of simple theoretical models to analyze the interplay between network topology and the superimposed structure based on the sign of links. Results uncover the conditions that underpin the emergence of the patterns observed in the data, namely the assortativity of positive subnetworks and the disassortativity of negative ones. We discuss the implications of our study for the analysis of signed complex networks.

Suggested Citation

  • Ciotti, Valerio & Bianconi, Ginestra & Capocci, Andrea & Colaiori, Francesca & Panzarasa, Pietro, 2015. "Degree correlations in signed social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 422(C), pages 25-39.
    • Handle: RePEc:eee:phsmap:v:422:y:2015:i:c:p:25-39
    DOI: 10.1016/j.physa.2014.11.062
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437114010334
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2014.11.062?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Traud, Amanda L. & Mucha, Peter J. & Porter, Mason A., 2012. "Social structure of Facebook networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4165-4180.
    2. Jack High (ed.), 2001. "Competition," Books, Edward Elgar Publishing, number 1751.
    3. Jeff Alstott & Ed Bullmore & Dietmar Plenz, 2014. "powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, 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. Lee, Kyu-Min & Lee, Sungmin & Min, Byungjoon & Goh, K.-I., 2023. "Threshold cascade dynamics on signed random networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    2. Małgorzata J Krawczyk & Krzysztof Kułakowski & Janusz A Hołyst, 2018. "Hierarchical partitions of social networks between rivaling leaders," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-13, 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. Symeonidis, George, 2001. "Price Competition, Innovation and Profitability: Theory and UK Evidence," CEPR Discussion Papers 2816, C.E.P.R. Discussion Papers.
    2. Evans, Lewis & Meade, Richard, 2005. "The Role and Significance of Cooperatives in New Zealand Agriculture, A Comparative Institutional Analysis," Working Paper Series 3847, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    3. John Roemer, 2005. "Distribution and politics: a brief history and prospect," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 25(2), pages 507-525, December.
    4. Xin Xu & Yang Lu & Yupeng Zhou & Zhiguo Fu & Yanjie Fu & Minghao Yin, 2021. "An Information-Explainable Random Walk Based Unsupervised Network Representation Learning Framework on Node Classification Tasks," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
    5. Sumeet Kumar & Binxuan Huang & Ramon Alfonso Villa Cox & Kathleen M. Carley, 2021. "An anatomical comparison of fake-news and trusted-news sharing pattern on Twitter," Computational and Mathematical Organization Theory, Springer, vol. 27(2), pages 109-133, June.
    6. Burke, A.E. & van Stel, A.J. & Thurik, A.R., 2009. "Blue Ocean versus Competitive Strategy: Theory and Evidence," ERIM Report Series Research in Management ERS-2009-030-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Haufler, Andreas & Pflüger, Michael, 2003. "Market structure and the taxation of international trade," Discussion Papers in Economics 106, University of Munich, Department of Economics.
    8. Tisdell, Clem, 2003. "Socioeconomic causes of loss of animal genetic diversity: analysis and assessment," Ecological Economics, Elsevier, vol. 45(3), pages 365-376, July.
    9. Jiashun Jin & Zheng Tracy Ke & Shengming Luo, 2022. "Improvements on SCORE, Especially for Weak Signals," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 127-162, June.
    10. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    11. Shu Takahashi & Kento Yamamoto & Shumpei Kobayashi & Ryoma Kondo & Ryohei Hisano, 2024. "Dynamic Link and Flow Prediction in Bank Transfer Networks," Papers 2409.08718, arXiv.org, revised Oct 2024.
    12. Li, Heyang & Wu, Meijun & Wang, Yougui & Zeng, An, 2022. "Bibliographic coupling networks reveal the advantage of diversification in scientific projects," Journal of Informetrics, Elsevier, vol. 16(3).
    13. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    14. Jiaqi Liang & Linjing Li & Daniel Zeng, 2018. "Evolutionary dynamics of cryptocurrency transaction networks: An empirical study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    15. Thisse, Jacques-François & Pieretti, Patrice & Zanaj, Skerdilajda, 2011. "Tax havens or safe havens," CEPR Discussion Papers 8570, C.E.P.R. Discussion Papers.
    16. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio I. Nakane, 2002. "The Determinants of Bank Interest Spread in Brazil," Money Affairs, CEMLA, vol. 0(2), pages 183-207, July-Dece.
    17. Bonaccorsi di Patti, Emilia & Gobbi, Giorgio, 2001. "The changing structure of local credit markets: Are small businesses special?," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2209-2237, December.
    18. Katahira, Kei & Chen, Yu & Akiyama, Eizo, 2021. "Self-organized Speculation Game for the spontaneous emergence of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    19. Saxena, Rakhi & Kaur, Sharanjit & Bhatnagar, Vasudha, 2019. "Identifying similar networks using structural hierarchy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    20. Wang, Xuhui & Wu, Jiao & Yang, Zheng & Xu, Kesheng & Wang, Zhengling & Zheng, Muhua, 2024. "The correlation between independent edge and triangle degrees promote the explosive information spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).

    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:eee:phsmap:v:422:y:2015:i:c:p:25-39. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.