Skip to main content
SpringerLink
Log in

A Scientometric and Social Network Analysis of the Literature on the Graph Model for Conflict Resolution

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

Over the 35 years of its existence, the Graph Model for Conflict Resolution (GMCR) has shown to be a valuable tool for conflict analysis. Many developments and applications of the GMCR have been made in this period. This paper aims to provide valuable information for understanding the global panorama of research in the GMCR by means of a scientometric and social network analysis (SNA). To do so, we utilize the software VOSviewer for examining papers from 1987 until 2021 published in journals which are listed in the Web of Science (WoS) database. The results reveal insights about key countries, organizations, authors and journals in the area providing valuable information for both practitioners and researchers in terms of past developments and trends for future research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

The dataset used in this paper is publicly available at https://github.com/ricardolopesa/social-network and this is indicated in the paper.

Notes

  1. We use the abbreviation TMU, because recently Ryerson University was renamed Toronto Metropolitan University.

References

  • Abbasi A, Hossain L, Leydesdorff L (2012) Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. J Inf 6(3):403–412

    Google Scholar 

  • Aljefri YM, Fang L, Hipel KW, Madani K (2019) Strategic analyses of the hydropolitical conflicts surrounding the grand ethiopian renaissance dam. Group Decis Negot 28(2):305–340

    Article  Google Scholar 

  • Barcellos-Paula L, de La Vega I, Gil-Lafuente AM (2022) Bibliometric review of research on decision models in uncertainty, 1990–2020. Int J Intell Syst. https://doi.org/10.1002/int.22882

    Article  Google Scholar 

  • Bashar MA, Kilgour DM, Hipel KW (2012) Fuzzy preferences in the graph model for conflict resolution. IEEE Trans Fuzzy Syst 20(4):760–770

    Article  Google Scholar 

  • Bonacich P (1987) Power and centrality: a family of measures. Am J Sociol 92(5):1170–1182

    Article  Google Scholar 

  • de Andrade RL, Rêgo LC, da Silva TLC, de Macêdo JAF, Silva WC (2021) Energy disruptive centrality with an application to criminal network. Commun Nonlinear Sci Numer Simul 99:105834

    Article  Google Scholar 

  • Eaton JP, Ward JC, Kumar A, Reingen PH (1999) Structural analysis of co-author relationships and author productivity in selected outlets for consumer behavior research. J Consum Psychol 8(1):39–59

    Article  Google Scholar 

  • Emrouznejad A, Marra M (2017) The state of the art development of ahp (1979–2017): a literature review with a social network analysis. Int J Prod Res 55(22):6653–6675. https://doi.org/10.1080/00207543.2017.1334976

    Article  Google Scholar 

  • Fraser NM, Hipel KW (1984) Conflict analysis: models and resolutions, vol 11. North-Holland

  • Freeman LC (1978) Centrality in social networks conceptual clarification. Social Netw 1(3):215–239

    Article  Google Scholar 

  • Garcia A, Obeidi A, Hipel KW (2016) Two methodological perspectives on the energy east pipeline conflict. Energy Policy 91:397–409

    Article  Google Scholar 

  • Hart RL (2000) Co-authorship in the academic library literature: a survey of attitudes and behaviors. J Acad Libr 26(5):339–345

    Article  Google Scholar 

  • Hipel KW, Fang L (2021) The graph model for conflict resolution and decision support. IEEE Trans Syst Man Cybern Syst 51(1):131–141. https://doi.org/10.1109/TSMC.2020.3041462

    Article  Google Scholar 

  • Hipel KW, Fang L, Kilgour DM (2020) The graph model for conflict resolution: reflections on three decades of development. Group Decis Negot 29(1):11–60

    Article  Google Scholar 

  • Howard N (1971) Paradoxes of rationality: Theory of metagames and political behaviour. MIT press

  • Howard N (1994) Drama theory and its relation to game theory. part 1: dramatic resolution vs. rational solution. Group Decis Negot 3(2):187–206

    Article  Google Scholar 

  • Howard N (1994) Drama theory and its relation to game theory. part 2: formal model of the resolution process. Group Decis Negot 3(2):207–235

    Article  Google Scholar 

  • Huang PY, Liu HY, Chen CH, Cheng PJ (2013) The impact of social diversity and dynamic influence propagation for identifying influencers in social networks. In: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). vol 1, pp 410–416

  • Kempe D, Kleinberg J, Tardos É, (2005) Influential nodes in a diffusion model for social networks. In: International Colloquium on Automata, Languages, and Programming. Springer, pp 1127–1138

  • Kilgour DM, Hipel KW (2005) The graph model for conflict resolution: past, present, and future. Group Decis Negot 14(6):441–460

    Article  Google Scholar 

  • Kilgour DM, Hipel KW, Fang L (1987) The graph model for conflicts. Automatica 23(1):41–55

    Article  Google Scholar 

  • Konur O (2012) The evaluation of the global research on the education: A scientometric approach. Proc Social Behav Sci 47:1363–1367

    Article  Google Scholar 

  • Kuang H, Bashar MA, Hipel KW, Kilgour DM (2015) Grey-based preference in a graph model for conflict resolution with multiple decision makers. IEEE Trans Syst Man Cybern Syst 45(9):1254–1267

    Article  Google Scholar 

  • Kuang H, Bashar MA, Kilgour DM, Hipel KW (2015) Strategic analysis of a brownfield revitalization conflict using the grey-based graph model for conflict resolution. EURO J Decis Process 3(3–4):219–248

    Article  Google Scholar 

  • Lee S, Bozeman B (2005) The impact of research collaboration on scientific productivity. Social Stud Sci 35(5):673–702

    Article  Google Scholar 

  • Li B, Xu Z, Hong N, Hussain A (2022) A bibliometric study and science mapping research of intelligent decision. Cogn Comput. https://doi.org/10.1007/s12559-022-09993-3

    Article  Google Scholar 

  • Li KW, Hipel KW, Kilgour DM, Fang L (2004) Preference uncertainty in the graph model for conflict resolution. IEEE Trans Syst Man Cybern Part A Syst Hum 34(4):507–520

    Article  Google Scholar 

  • Liu J, Li Y, Ruan Z, Fu G, Chen X, Sadiq R, Deng Y (2015) A new method to construct co-author networks. Phys A Stat Mech Appl 419:29–39

    Article  Google Scholar 

  • Liu X, Bollen J, Nelson ML, Van de Sompel H (2005) Co-authorship networks in the digital library research community. Inf Process Manag 41(6):1462–1480

    Article  Google Scholar 

  • Morgenstern O, Von Neumann J (1944) Theory of games and economic behavior. Princeton University Press

  • Newman ME (2001) Scientific collaboration networks. i. network construction and fundamental results. Phys Rev E 64(1):016131

    Article  Google Scholar 

  • Newman ME (2001) The structure of scientific collaboration networks. Proc Natl Acad Sci 98(2):404–409

    Article  Google Scholar 

  • Newman ME (2004) Coauthorship networks and patterns of scientific collaboration. Proc Natl Acad Sci 101(suppl 1):5200–5205

    Article  Google Scholar 

  • Newman ME (2005) A measure of betweenness centrality based on random walks. Social Netw 27(1):39–54

    Article  Google Scholar 

  • Nishavathi E, Jeyshankar R (2020) A scientometric social network analysis of international collaborative publications of all India institute of medical sciences, india. J Inf Sci Theory Pract 8(3):64–76

    Google Scholar 

  • Olawumi TO, Chan DW (2018) A scientometric review of global research on sustainability and sustainable development. J Clean Prod 183:231–250

    Article  Google Scholar 

  • Philpot SL, Johnson PA, Hipel KW (2017) Analysis of a brownfield management conflict in Canada. Hydrol Res Lett 11(3):141–148

    Article  Google Scholar 

  • Rego LC, dos Santos AM (2015) Probabilistic preferences in the graph model for conflict resolution. IEEE Trans Syst Man Cybern Syst 45(4):595–608

    Article  Google Scholar 

  • Silva MM, Hipel KW, Marc Kilgour D, Costa Cabral APS (2017) Urban planning in Recife, Brazil: evidence from a conflict analysis on the new Recife project. J Urban Plann Dev 143(3):05017007

    Article  Google Scholar 

  • Silva MM, Kilgour DM, Hipel KW, Costa APCS (2017) Probabilistic composition of preferences in the graph model with application to the new Recife project. J Legal Aff Dispute Resolut Eng Constr 9(3):05017004

    Article  Google Scholar 

  • Silva M, Poleto T, Clemente T, P.H, G.A, Costa A (2020) A scientometric analysis of the graph model for conflict resolution from 1987 to 2020. In: Proceedings of the 20th International Conference on Group Decision and Negotiation. INFORMS, pp 2.1–2.7

  • Tsolakidis A, Sgouropoulou C, Papageorgiou E, Terraz O, Miaoulis G (2012) Co-authorship networks in academic research communities: the role of network strength. In: 2012 16th Panhellenic Conference on Informatics. pp 150–155

  • Van Eck N, Waltman L (2010) Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics. 84(2):523–538

    Article  Google Scholar 

  • Wasserman S, Faust K et al (1994) Methods and applications. Cambridge University Press

  • Zhou X, Ma X (2021) Progress of graph model for conflict resolution in conflict analysis: a systematic review and bibliometrics research. J Intell Fuzzy Syst 41(6):5835–5846

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Federal Institute of Education, Science and Technology of Pernambuco, Jaboatão dos Guararapes, PE, Brazil

    Ricardo Lopes de Andrade

  2. Production Engineering Department, Federal University of Pernambuco, Recife, PE, Brazil

    Maísa Mendonça Silva

  3. Statistics and Applied Math Department, Federal University of Ceará, Fortaleza, CE, Brazil

    Leandro Chaves Rêgo

  4. Statistics and Production Engineering Graduate Programs, Federal University of Pernambuco, Recife, PE, Brazil

    Leandro Chaves Rêgo

Authors
  1. Ricardo Lopes de Andrade
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maísa Mendonça Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Leandro Chaves Rêgo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maísa Mendonça Silva.

Ethics declarations

Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article.

Ethical approval

The research did not involve humans or animals.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

A Appendix

A Appendix

(See Table 13)

Table 13 Meaning of the organization abbreviations
Full size table

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Andrade, R.L., Silva, M.M. & Rêgo, L.C. A Scientometric and Social Network Analysis of the Literature on the Graph Model for Conflict Resolution. Group Decis Negot 32, 1061–1082 (2023). https://doi.org/10.1007/s10726-023-09834-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10726-023-09834-0

Keywords

Search

Navigation