IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v473y2022ics0304380022002149.html
   My bibliography  Save this article

The network perspective: Vertical connections linking organizational levels

Author

Listed:
  • Jordán, Ferenc

Abstract

Life is organized into more or less well-defined organizational levels, connected both horizontally and vertically. Our knowledge is richer along the horizontal levels (e.g. inter-specific interactions in multispecies communities), while vertical thinking (e.g. individual-level variability of the prey in a predator-prey interaction) is more challenging, more often crossing disciplinary borders. This review overviews the major challenges, concepts and network analysis-related methods related to studying vertical processes, giving a number of examples. It is argued the network theory is essentially about linking parts to the whole, and this is equivalent to connecting units at one level to a larger unit at the next level. Mostly, but not only, social networks, food webs and landscape graphs are discussed. Methods and concepts in network research, both classical and recently emerged, for supporting this vertical thinking are discussed.

Suggested Citation

  • Jordán, Ferenc, 2022. "The network perspective: Vertical connections linking organizational levels," Ecological Modelling, Elsevier, vol. 473(C).
    • Handle: RePEc:eee:ecomod:v:473:y:2022:i:c:s0304380022002149
    DOI: 10.1016/j.ecolmodel.2022.110112
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022002149
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.110112?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. Eileen A. Lacey & John R. Wieczorek, 2004. "Kinship in colonial tuco-tucos: evidence from group composition and population structure," Behavioral Ecology, International Society for Behavioral Ecology, vol. 15(6), pages 988-996, November.
    2. Jordán, Ferenc & Liu, Wei-chung & Mike, Ágnes, 2009. "Trophic field overlap: A new approach to quantify keystone species," Ecological Modelling, Elsevier, vol. 220(21), pages 2899-2907.
    3. Davies, Tim K. & Mees, Chris C. & Milner-Gulland, E.J., 2014. "The past, present and future use of drifting fish aggregating devices (FADs) in the Indian Ocean," Marine Policy, Elsevier, vol. 45(C), pages 163-170.
    4. E. McDonald-Madden & R. Sabbadin & E. T. Game & P. W. J. Baxter & I. Chadès & H. P. Possingham, 2016. "Using food-web theory to conserve ecosystems," Nature Communications, Nature, vol. 7(1), pages 1-8, April.
    5. H. Jeong & S. P. Mason & A.-L. Barabási & Z. N. Oltvai, 2001. "Lethality and centrality in protein networks," Nature, Nature, vol. 411(6833), pages 41-42, May.
    6. Eric A. Vance & Elizabeth A. Archie & Cynthia J. Moss, 2009. "Social networks in African elephants," Computational and Mathematical Organization Theory, Springer, vol. 15(4), pages 273-293, December.
    7. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    8. Aislyn A. Keyes & John P. McLaughlin & Allison K. Barner & Laura E. Dee, 2021. "An ecological network approach to predict ecosystem service vulnerability to species losses," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    9. Móréh, Ágnes & Endrédi, Anett & Piross, Sándor Imre & Jordán, Ferenc, 2021. "Topology of additive pairwise effects in food webs," Ecological Modelling, Elsevier, vol. 440(C).
    10. Kevin R. Crooks & Michael E. Soulé, 1999. "Mesopredator release and avifaunal extinctions in a fragmented system," Nature, Nature, vol. 400(6744), pages 563-566, August.
    11. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    12. Ann E. Krause & Kenneth A. Frank & Doran M. Mason & Robert E. Ulanowicz & William W. Taylor, 2003. "Compartments revealed in food-web structure," Nature, Nature, vol. 426(6964), pages 282-285, November.
    13. Liisa Hämäläinen & William Hoppitt & Hannah M. Rowland & Johanna Mappes & Anthony J. Fulford & Sebastian Sosa & Rose Thorogood, 2021. "Social transmission in the wild can reduce predation pressure on novel prey signals," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    14. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    15. István A Kovács & Robin Palotai & Máté S Szalay & Peter Csermely, 2010. "Community Landscapes: An Integrative Approach to Determine Overlapping Network Module Hierarchy, Identify Key Nodes and Predict Network Dynamics," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-14, September.
    16. Aislyn A. Keyes & John P. McLaughlin & Allison K. Barner & Laura E. Dee, 2021. "Author Correction: An ecological network approach to predict ecosystem service vulnerability to species losses," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    17. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    18. Noa Pinter-Wollman & Elizabeth A. Hobson & Jennifer E. Smith & Andrew J. Edelman & Daizaburo Shizuka & Shermin de Silva & James S. Waters & Steven D. Prager & Takao Sasaki & George Wittemyer & Jennife, 2014. "The dynamics of animal social networks: analytical, conceptual, and theoretical advances," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(2), pages 242-255.
    19. Jessica C. Flack & Michelle Girvan & Frans B. M. de Waal & David C. Krakauer, 2006. "Policing stabilizes construction of social niches in primates," Nature, Nature, vol. 439(7075), pages 426-429, January.
    20. Pierce, Maria E. & Warnke, Tom & Krumme, Uwe & Helms, Tobias & Hammer, Cornelius & Uhrmacher, Adelinde M., 2017. "Developing and validating a multi-level ecological model of eastern Baltic cod (Gadus morhua) in the Bornholm Basin – A case for domain-specific languages," Ecological Modelling, Elsevier, vol. 361(C), pages 49-65.
    21. Jørgensen, Sven E. & Nielsen, Søren Nors & Fath, Brian D., 2016. "Recent progress in systems ecology," Ecological Modelling, Elsevier, vol. 319(C), pages 112-118.
    22. Sebastian A Sandersius & Manli Chuai & Cornelis J Weijer & Timothy J Newman, 2011. "Correlating Cell Behavior with Tissue Topology in Embryonic Epithelia," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-11, April.
    23. Joseph Farrell & Hunter K. Monroe & Garth Saloner, 1998. "The Vertical Organization of Industry: Systems Competition versus Component Competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 7(2), pages 143-182, June.
    24. Jørgensen, S.E. & Nielsen, S.N., 2015. "Hierarchical networks," Ecological Modelling, Elsevier, vol. 295(C), pages 59-65.
    25. Stephen P. Borgatti, 2006. "Identifying sets of key players in a social network," Computational and Mathematical Organization Theory, Springer, vol. 12(1), pages 21-34, April.
    26. Shiri Freilich & Raphy Zarecki & Omer Eilam & Ella Shtifman Segal & Christopher S. Henry & Martin Kupiec & Uri Gophna & Roded Sharan & Eytan Ruppin, 2011. "Competitive and cooperative metabolic interactions in bacterial communities," Nature Communications, Nature, vol. 2(1), pages 1-7, September.
    Full references (including those not matched with items on IDEAS)

    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. Andrea Lancichinetti & Filippo Radicchi & José J Ramasco & Santo Fortunato, 2011. "Finding Statistically Significant Communities in Networks," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-18, April.
    2. Chen, Lei & Yue, Dong & Dou, Chunxia, 2019. "Optimization on vulnerability analysis and redundancy protection in interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1216-1226.
    3. Deng, Ye & Wu, Jun & Tan, Yue-jin, 2016. "Optimal attack strategy of complex networks based on tabu search," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 74-81.
    4. Wang, Jianwei & Cai, Lin & Xu, Bo & Li, Peng & Sun, Enhui & Zhu, Zhiguo, 2016. "Out of control: Fluctuation of cascading dynamics in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1231-1243.
    5. Zhou, Yaoming & Wang, Junwei, 2018. "Efficiency of complex networks under failures and attacks: A percolation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 658-664.
    6. Wang, Weihong & Chen, MingMing & Min, Yong & Jin, Xiaogang, 2016. "Structural diversity effects of multilayer networks on the threshold of interacting epidemics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 254-262.
    7. Khakzad, Nima & Reniers, Genserik & Abbassi, Rouzbeh & Khan, Faisal, 2016. "Vulnerability analysis of process plants subject to domino effects," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 127-136.
    8. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan, 2023. "Higher-order interdependent percolation on hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    9. Rui Peng & Di Wu & Mengyao Sun & Shaomin Wu, 2021. "An attack-defense game on interdependent networks," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(10), pages 2331-2341, October.
    10. Zhu, Qian & Zhu, Zhiliang & Wang, Yifan & Yu, Hai, 2016. "Fuzzy-information-based robustness of interconnected networks against attacks and failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 194-203.
    11. Wouter Vermeer & Otto Koppius & Peter Vervest, 2018. "The Radiation-Transmission-Reception (RTR) model of propagation: Implications for the effectiveness of network interventions," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
    12. Wilhelm, Thomas & Hollunder, Jens, 2007. "Information theoretic description of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 385-396.
    13. Mahyar, Hamidreza & Hasheminezhad, Rouzbeh & Ghalebi K., Elahe & Nazemian, Ali & Grosu, Radu & Movaghar, Ali & Rabiee, Hamid R., 2018. "Compressive sensing of high betweenness centrality nodes in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 166-184.
    14. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    15. Gangwal, Utkarsh & Singh, Mayank & Pandey, Pradumn Kumar & Kamboj, Deepak & Chatterjee, Samrat & Bhatia, Udit, 2022. "Identifying early-warning indicators of onset of sudden collapse in networked infrastructure systems against sequential disruptions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
    16. Laurienti, Paul J. & Joyce, Karen E. & Telesford, Qawi K. & Burdette, Jonathan H. & Hayasaka, Satoru, 2011. "Universal fractal scaling of self-organized networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3608-3613.
    17. Gao, Jianbo & Hu, Jing, 2014. "Financial crisis, Omori's law, and negative entropy flow," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 79-86.
    18. Selen Onel & Abe Zeid & Sagar Kamarthi, 2011. "The structure and analysis of nanotechnology co-author and citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 119-138, October.
    19. Wang, Jianwei & Jiang, Chen & Qian, Jianfei, 2014. "Robustness of interdependent networks with different link patterns against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 535-541.
    20. Yu, Shuying & Peng, Jian & Xia, Pei & Wang, Qi & Grabowski, Robert C & Azhoni, Adani & Bala, Brij & Shankar, Vijay & Meersmans, Jeroen, 2023. "Network analysis of water-related ecosystem services in search of solutions for sustainable catchment management: A case study in Sutlej-Beas River systems, India," Ecosystem Services, Elsevier, vol. 63(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:ecomod:v:473:y:2022:i:c:s0304380022002149. 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/ecological-modelling .

    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.