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The use of documentary data for network analysis in emergency and crisis management

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Abstract

The use of network analysis to understand relationships among actors and organizations in coordinated actions has grown in recent years. Examining the network structure and functions in disaster response has gained particular attention. Different methods of data collection and analysis are utilized in network research. The use of documents as a data source has also gained traction. Scholars utilize content analysis of documents to uncover network structure, i.e., core “nodes,” and functions. This is especially critical in emergency and crisis management as the associated network involves complex set of actors from different sectors and jurisdictions, and first-hand recollections of representatives might not be inclusive of every interaction and specific actors they worked with. With augmented utilization, there is a need to understand the methodological process of document use as a primary means of data analysis in emergency management. This study fills that gap by providing a systematic literature review of empirical studies across a broad range of subjects that have discussed document collection and use for network analysis. Furthermore, this study provides a detailed example of the method of document identification and collection, data generation and organization process, and network visualization and analysis in an emergency and crisis management context. The study concludes with answering, for disaster response networks, what types of documentary data are utilized and how they are used, the types of disasters that have been prevalent in utilizing this method, and the process undertaken to analyze and visualize networks.

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References

  • Abbasi A, Kapucu N (2012) Structural dynamics of organizations during the evolution of interorganizational networks in disaster response. J Homel Secur Emerg Manage 9(1):1–19

    Google Scholar 

  • Abbasi A, Kapucu N (2016) A longitudinal study of evolving networks in response to natural disaster. Comput Math Organ Theory 22(1):47–70

    Article  Google Scholar 

  • Abedin B, Babar A (2018) Institutional vs. non-institutional use of social media during emergency response: a case of twitter in 2014 Australian bush fire. Inform Syst Front 20(4):729–740.

  • Benzi M, Boito P (2020) Matrix functions in network analysis. GAMM Mitteilungen 43(3):1–36.

  • Borgatti SP, Everett MG, Johnson JC (2018) Analyzing social networks, 4th edn. Sage, Philadelphia

    Google Scholar 

  • Butts CT, Acton RM, Marcum CS (2012) Interorganizational collaboration in the Hurricane Katrina response. J Soc Struct 13(1):1–37

    Article  Google Scholar 

  • Celik S, Corbacioglu S (2018) Organizational learning in adapting to dynamic disaster environments in Southern Turkey. J Asian Afr Stud 53(2):217–232

    Article  Google Scholar 

  • Clark-Ginsberg A (2020) Disaster risk reduction is not ‘everyone’s business’: evidence from three countries. Int J Disaster Risk Reduct 43(1):1–12

    Google Scholar 

  • Comfort LK (1993) Integrating information technology into international crisis management and policy. J Contingencies Crisis Manage 1(1):15–26

    Article  Google Scholar 

  • Comfort LK (2007) Crisis management in hindsight: cognition, communication, coordination, and control. Public Adm Rev 67(1):189–197

    Article  Google Scholar 

  • Comfort LK, Haase TW (2006) Communication, coherence, and collective action: the impact of Hurricane Katrina on communications infrastructure. Public Works Manag Policy 10(4):328–343

    Article  Google Scholar 

  • Comfort LK, Kapucu N (2006) Inter-organizational coordination in extreme events: the world trade center attacks, September 11, 2001. Nat Hazards 39(2):309–327

    Article  Google Scholar 

  • Comfort LK, Zhang H (2020) Operational networks: adaptation to extreme events in China. Risk Anal 40(5):981–1000

    Article  Google Scholar 

  • Comfort LK, Haase TW, Ertan G, Scheinert SR (2020) The dynamics of change following extreme events: transition, scale, and adaptation in systems under stress. Administration Soc 52(6):827–861

    Article  Google Scholar 

  • Comfort LK, Oh N, Ertan G, Haase T (2013) Network evolution in disaster management: a comparison of response systems evolving after the 2005 and 2008 gulf coast hurricanes. In 2013 IEEE 2nd Network Science Workshop (NSW) (pp. 42–49). IEEE, New York.

  • Comfort LK (2019) The dynamics of risk: Changing technologies and collective action in seismic events. Princeton University Press, Princeton.

  • Cross JE, Dickmann E, Newman-Gonchar R, Fagan JM (2009) Using mixed-method design and network analysis to measure development of interagency collaboration. Am J Eval 30(3):310–329

    Article  Google Scholar 

  • Cunningham D, Everton S, Murphy P (2016) Understanding dark networks: a strategic framework for the use of social network analysis. Rowman & Littelefield, Washington

  • Du L, Feng Y, Tang LY, Kang W, Lu W (2020a) Networks in disaster emergency management: a systematic review. Nat Hazards 103(1):1–27

    Article  Google Scholar 

  • Du L, Feng Y, Tang L, Lu W, Kang W (2020b) Time dynamics of emergency response network for hazardous chemical accidents: a case study in China. J Clean Prod 248:119239

    Google Scholar 

  • Fan B, Nie S (2018) Coproduction design of contingency planning in emergency governance structure: qualitative metasynthesis of Chinese local government. Nat Hazard Rev 19(4):04018021

    Article  Google Scholar 

  • Gerber BJ, Robinson SE (2009) Local government performance and the challenges of regional preparedness for disasters. Public Perform Manag Rev 32(3):345–371

    Article  Google Scholar 

  • Guo X, Kapucu N (2015) Network performance assessment for collaborative disaster response. Disaster Prev Manag 24(2):201–220

    Article  Google Scholar 

  • Haase TW, Ertan G, Comfort LK (2017) The roots of community resilience: a comparative analysis of structural change in four gulf coast hurricane response networks. Homeland Security Affairs 13(9):1–26

    Google Scholar 

  • Hollstein B (2013) Qualitative approaches. In: Scott J, Carrington PJ (eds) The sage handbook of social network analysis. Sage Publications, Philadelphia, pp 404–416

    Google Scholar 

  • Hu Q (2015) Conducting content analysis of documents in network research: a review of recent scholarship. Complex Govern Netw 2(1):83–102

    Article  Google Scholar 

  • Hu Q, Kapucu N (2016) Information communication technology utilization for effective emergency management networks. Public Manag Rev 18(3):323–348

    Article  Google Scholar 

  • Hu Q, Knox CC, Kapucu N (2014) What have we learned since September 11, 2001? A network study of the Boston marathon bombings response. Public Adm Rev 74(6):698–712

    Article  Google Scholar 

  • Hu Q, Khosa S, Kapucu N (2016) The intellectual structure of empirical network research in public administration. J Public Admin Res Theory 26(4):593–612

    Article  Google Scholar 

  • Ireni-Saban L (2019) Diplomacy in times of disaster: Management through reputational capital. J Manage Policy Pract 20(3):99–114

    Google Scholar 

  • Jones EC, Faas AJ (eds) (2016) Social network analysis of disaster response, recovery, and adaptation. Butterworth-Heinemann,UK.

  • Kadushin C (2005) Who benefits from network analysis: ethics of social network research. Soc Netw 27(1):139–153

    Article  Google Scholar 

  • Kapucu N (2006) Interagency communication networks during emergencies: boundary spanners in multiagency coordination. Am Rev Public Admin 36(2):207–225

    Article  Google Scholar 

  • Kapucu N (2011) Collaborative governance in international disasters: Nargis cyclone in Myanmar and Sichuan earthquake in China cases. Int J Emerg Manage 8(1):1–25

    Article  Google Scholar 

  • Kapucu N, Demiroz F (2011) Measuring performance for collaborative public management using network analysis methods and tools. Public Perform Manag Rev 34(4):551–581

    Google Scholar 

  • Kapucu N, Augustin ME, Garayev V (2009) Interstate partnerships in emergency management: emergency management assistance compact in response to catastrophic disasters. Public Adm Rev 69(2):297–313

    Article  Google Scholar 

  • Kapucu N, Arslan T, Collins ML (2010a) Examining intergovernmental and interorganizational response to catastrophic disasters: toward a network-centered approach. Admin Soc 42(2):222–247

    Article  Google Scholar 

  • Kapucu N, Bryer T, Garayev V, Arslan T (2010b) Interorganizational network coordination under stress caused by repeated threats of disasters. J Homel Secur Emerg Manage 7(1):1–30

    Google Scholar 

  • Kapucu N, Yuldashev F, Feldheim MA (2011) Nonprofit organizations in disaster response and management: a network analysis. Euro J Econ Polit Stud 4(1):83–112

    Google Scholar 

  • Kapucu N, Hu Q, Khosa S (2017) The state of network research in public administration. Admin Soc 49(8):1087–1120

    Article  Google Scholar 

  • Kapucu N, Ozerdem A, Sadiq A (2022) Managing emergencies and crises: global perspectives. Jones & Bartlett Publishers, Boston

    Google Scholar 

  • Karimiziarani M, Jafarzadegan K, Abbaszadeh P, Shao W, Moradkhani H (2022) Hazard risk awareness and disaster management: extracting the information content of twitter data. Sustain Cities Soc 77:103577

    Article  Google Scholar 

  • Kim Y, Oh SS, Ku M, Byeon J (2021) Interorganizational coordination and collaboration during the 2015 MERS-CoV response in South Korea. Disaster Med Public Health Prep 15(4):409–415

    Article  Google Scholar 

  • Koon DSV (2020) Education policy networks: the co-optation, coordination, and commodification of the school-to-prison pipeline critique. Am Educ Res J 57(1):371–410

    Article  Google Scholar 

  • Lake County (2018) Comprehensive emergency management plan. Lake County, FL

  • Liu J, Hao J, Shi Z, Bao HX (2020) Building the COVID-19 collaborative emergency network: a case study of COVID-19 outbreak in Hubei Province, China. Nat Hazards 104(3):2687–2717

    Article  Google Scholar 

  • Magsino SL (2009) Applications of social network analysis for building community disaster resilience. National Academy of Sciences, Washington, DC

    Google Scholar 

  • Marx J, Mirbabaie M, Ehnis C (2020) Sense-giving strategies of media organisations in social media disaster communication: findings from Hurricane Harvey [Paper presentation]. Australasian Conference on Information Systems, Sydney Australia. https://arxiv.org/pdf/2004.08567.pdf

  • Mayring P (2014) Qualitative content analysis: theoretical foundation, basic procedures and software solution, p 43

  • McCulloh I, Armstrong H, Johnson A (2013) Social network analysis with applications. Wiley, New York

    Google Scholar 

  • Meng F, Chen Z, Wu J (2019) How are anti-air pollution policies implemented? A network analysis of campaign-style enforcement in China. Sustainability 11(2):1–17

    Article  Google Scholar 

  • Prell C, Hubacek K, Reed M (2009) Stakeholder analysis and social network analysis in natural resource management. Soc Nat Resour 22(6):501–518

    Article  Google Scholar 

  • Prell CK (2012) Social network analysis: History, theory & methodology. Sage Publications, Philadelphia

  • Resodihardjo SL, Van Genugten M, Ruiter MN (2018) A theoretical exploration of resilience and effectiveness requirements’ compatibility in formal and permanent emergency networks. Saf Sci 101(1):164–172

    Article  Google Scholar 

  • Robins G (2015) Doing social network research: Networked-based research design for social scientists. Sage Publications, Philadelphia.

  • Saban LI (2015) Entrepreneurial brokers in disaster response network in Typhoon Haiyan in the Philippines. Public Manag Rev 17(10):1496–1517

    Article  Google Scholar 

  • Schweinberger M, Petrescu-Prahova M, Vu DQ (2014) Disaster response on September 11, 2001 through the lens of statistical network analysis. Soc Netw 37(1):42–55

    Article  Google Scholar 

  • Scott J (2013) Social network analysis. Sage Publications, Philadelphia

  • Scott J, Carrington PJ (2011) The sage handbook of social network analysis. Sage Publications, Philadelphia

  • Seo HJ, Son M, Hong AJ (2021) Trends in civic engagement disaster safety education research: systematic literature review and keyword network analysis. Sustainability 13(5):1–18

    Article  Google Scholar 

  • Siciliano MD, Wukich C (2015) Network features and processes as determinants of organizational interaction during extreme events. Complex Govern Netw 2(1):23–44

    Article  Google Scholar 

  • Siciliano MD, Wukich C (2017) Network formation during disasters: exploring micro-level interorganizational processes and the role of national capacity. Int J Public Adm 40(6):490–503

    Google Scholar 

  • Spiro ES, Acton RM, Butts CT (2013) Extended structures of mediation: re-examining brokerage in dynamic networks. Soc Netw 35(1):130–143

    Article  Google Scholar 

  • Sweileh WM (2020) Bibliometric analysis of peer-reviewed literature on climate change and human health with an emphasis on infectious diseases. Glob Health 16(1):1–17

    Article  Google Scholar 

  • Tang P, Deng C, Shao S, Shen GQ (2017) Leveraging intergovernmental and cross-sectoral networks to manage nuclear power plant accidents: a case study from China. J Clean Prod 162(23):1551–1566

    Article  Google Scholar 

  • Tierney KJ, Trainor JE (2004) Networks and resilience in the World Trade Center disaster. MCEER.

  • Tiwari P, Ilavarasan PV, Punia S (2019) Content analysis of literature on big data in smart cities. Benchmarking Int J 28(5):1837–1857.

  • Uhr C, Johansson H, Fredholm L (2008) Analysing emergency response systems. J Contingencies Crisis Manage 16(2):80–90

    Article  Google Scholar 

  • Varda D, Forgette R, Banks D, Contractor N (2009) Social network methodology in the study of disasters: Issues and insights prompted by post-Katrina research. Population Res Policy Rev 28(1):11–29

    Article  Google Scholar 

  • Wang WJ (2019) Disaster response after extreme events in Taiwan: the influence of formal institutions on inter-organizational interaction. Risk Hazard Crisis Public Policy 10(1):74–101

    Article  Google Scholar 

  • Ward KD, Varda DM, Epstein D, Lane B (2018) Institutional factors and processes in interagency collaboration: the case of FEMA Corps. Am Rev Public Admin 48(8):852–871

    Article  Google Scholar 

  • Wasserman S, Faust KL (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge

  • Wasserman D, Galaskiewicz J (eds) (1994) Advances in social network analysis: research in the social and behavioral sciences. Sage Publications, Philadelphia

  • Williams TA, Shepherd DA (2017) Mixed method social network analysis: combining inductive concept development, content analysis, and secondary data for quantitative analysis. Organ Res Methods 20(2):268–298

    Article  Google Scholar 

  • Wolbers J, Kuipers S, Boin A (2021) A systematic review of 20 years of crisis and disaster research: trends and progress. Risk Haz Crisis Public Policy 12(4):374–392

    Article  Google Scholar 

  • Wu M, Gao X, Cao M, Papa E, Zhu X (2021) The changes of intergovernmental collaboration dynamic in post-disaster destination management: network analysis. J Hosp Tour Manag 48(3):32–45

    Article  Google Scholar 

  • Yeo J (2020) Beyond immigration and customs enforcement: understanding interorganizational collaboration for border management. J Borderlands Stud 35(1):1–23

    Google Scholar 

  • Yeo J, Comfort LK (2017) An expected event, but unprecedented damage: structure and gaps of large-scale response coordination of the 2011 Thailand floods. Disaster Prevent Manage Int J 26(4):458–470

    Article  Google Scholar 

  • Yeo J, Comfort L, Jung K (2018) Timely assessment of disaster and emergency response networks in the aftermath of superstorm Sandy, 2012. Online Inf Rev 42(7):1010–1023

    Article  Google Scholar 

  • Yeo J, Haupt B, Kapucu N (2021) Alignment between disaster policies and practice: characteristics of interorganizational response coordination following 2016 hurricane Matthew in Florida. Nat Hazard Rev 22(1):1–8

    Article  Google Scholar 

  • Yurisch KA, Soto KR, Fuenzalida CR (2020) Covid-19: Network effectiveness of intermunicipal self-organized response in Chile. Transylvanian Rev Adminis Sci 16(SI):5–23

  • Zhang Q, Lu Q, Zhong D, Ye X (2018) The pattern of policy change on disaster management in China: a bibliometric analysis of policy documents, 1949–2016. Int J Disaster Risk Sci 9(1):55–73

    Article  Google Scholar 

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Funding

The study was supported by the National Science Foundation (NSF) under Grant CMMI-1952792, entitled “SCC-IRG Track 2: Leveraging Smart Technologies and Managing Community Resilience through Networked Communities and Cross-Sector Partnerships.” Any opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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The study conception and design were contributed by NK, PhD. Material preparation, data collection and analysis were performed by RO and NK, PhD. All authors commented on every iteration of the draft, in addition to providing review and editing. All authors read and approved the final manuscript.

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Correspondence to Naim Kapucu.

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Kapucu, N., Okhai, R., Ge, Y. et al. The use of documentary data for network analysis in emergency and crisis management. Nat Hazards 116, 425–445 (2023). https://doi.org/10.1007/s11069-022-05681-5

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