References
- Roberts CW, Popping R. Themes, syntax and other necessary steps in the network analysis of texts: a research paper. Soc Sci Info. 1996 Dec 1;35(4):657-65. https://doi.org/10.1177/053901896035004005
- Zhang L, Hall M, Bastola D. Utilizing twitter data for analysis of chemotherapy. Int J Med Inform. 2018 Dec;120:92-100. https://doi.org/10.1016/j.ijmedinf.2018.10.002
- Park EJ, Kim YJ, Park CS. A comparison of hospice care research topics between Korea and other countries using text network analysis. J Korean Acad Nurs. 2017 Oct;47(5):600-12. https://doi.org/10.4040/jkan.2017.47.5.600
- Zavarrone E, Grassia MG. Text analysis: an overview. Wiley StatsRef. 2018. https://doi.org/10.1002/9781118445112.stat08089
- Paranyushkin D. [Internet]. Identifying the pathways for meaning circulation using text network analysis. Berlin: Nodus Labs; c2011 [up-dated 2011 Dec 25; cited 2019 Jan 20]. Available from: http://noduslabs.com/research/pathways-meaning-circulation-text-network-analysis
- Park CS, Jung JW. Text network analysis: detecting shared meaning through socio-cognitive networks of policy stakeholders. J Gov Studies. 2013 Aug 23;19(2):73-108.
- Park EJ, Cho SZ. editors. KoNLPy: Korean natural language processing in python. Proceedings of the 26th Annual Conference on Human & Cognitive Language Technology; 2014 Oct 10-11; Kangwon National University, Chuncheon. 2014 Oct; 10:133-6.
- He Q. Knowledge discovery through co-word analysis. Libr Trends. 1999 Summer;48(1):133-59.
- Wasserman S, Faust K. Social network analysis: methods and applications. New York: Cambridge University Press; 1994. 825 p.
- Baldwin C, Hughes J, Hope T, Jacoby R, Ziebland S. Ethics and dementia: mapping the literature by bibliometric analysis. Int J Geriatr Psychiatry. 2003 Oct 9;18(1):41-54. https://doi.org/10.1002/gps.770
- Scott SD, Profetto-McGrath J, Estabrooks CA, Winther C, Wallin L, Lavis JN. Mapping the knowledge utilization field in nursing from 1945 to 2004: a bibliometric analysis. Worldviews Evid Based Nurs. 2010 Jun 14;7(4):226-37. https://doi.org/10.1111/j.1741-6787.2010.00197.x
- Lee SK, Jeong S, Kim HG, Yom YH. A social network analysis of research topics in Korean nursing science. J Korean Acad Nurs. 2011 Oct 24;41(5):623-32. https://doi.org/10.4040/jkan.2011.41.5.623
- Kim MJ, Noh SM, Ryu EJ, Shin SM. Research trend analysis of do-not-resuscitate decision: based on text network analysis. Asian Onco Nurs. 2014 Dec 24;14(4):254-64. https://doi.org/10.5388/aon.2014.14.4.254
- Kwon SY, Park EJ. Knowledge structure of the Korean journal of occupational health nursing through network analysis. Korean J Occup. Health Nurs. 2015 May;24(2):76-85. https://doi.org/10.5807/kjohn.2015.24.2.76
- Kwon SY, Bae KR. A study on the knowledge structure of cancer survivors based on social network analysis. J Korean Acad Nurs. 2016 Feb;46(1):50-8. https://doi.org/10.4040/jkan.2016.46.1.50
- Kim YJ, Jang SN. Mapping the knowledge structure of frailty in journal articles by text network analysis. PloS one. 2018 Apr 19;13(4):e0196104. https://doi.org/10.1371/journal.pone.0196104
- Freeman LC. Centrality in social networks conceptual clarification. Soc Netw. 1978;1:215-39. https://doi.org/10.1016/0378-8733(78)90021-7
- Park YS. Formation of nursing knowledge: inductive reasoning. Perspect Nurs Sci. 2004 Dec;1(1):36-49.
- Lee SW. Prospects for nursing theory analysis, evaluation and development. Perspect Nurs Sci. 2004 Dec;1(1):1-21.
- Lee SS. A content analysis of journal articles using the language network analysis methods. J Korean Soc Info Manag. 2014 Dec ;31(4):49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
- Zhang Y, Chen H, Lu J, Zhang G. Detecting and predicting the topic change of Knowledge-based systems: a topic-based bibliometric analysis from 1991 to 2016. Knowl Based Syst. 2017 Jul 10;133:255-68. https://doi.org/10.1016/j.knosys.2017.07.011
- Montemurro MA, Zanette DH. Keywords and co-occurrence patterns in the Voynich manuscript: an information-theoretic analysis. PLoS One. 2013 Jun 21;8(6):e66344. https://doi.org/10.1371/journal.pone.0066344
- Lee SS. Network analysis methods. Seoul: Nonhyeong; 2012.370 p.
- Borgatti SP, Halgin DS. On network theory. Organ Sci. 2011 Sep;22(5):1168-81. https://doi.org/10.1287/orsc.1100.0641
- Park HW, Leydesdorff L. Understanding the KrKwic: a computer program for the analysis of Korean text. J Korean Data Anal Soc. 2004 Oct;6(5):1377-87.
- Lee TW, Park KO, Seomun GA, Kim MY, Hwang JI, Yu SY, et al. Analysis of research articles published in the Journal of Korean Academy of Nursing Administration for 3 years (2013-2015): the application of text network analysis. J Korean Acad Nurs Adm. 2017 Jan;23(1):101-10. https://doi.org/10.11111/jkana.2017.23.1.101
- Kim SY, Park JE, Seo HJ, Lee YJ, Jang BH, Son HJ, et al. NECA's guidance for undertaking systematic reviews and meta-analyses for intervention. Seoul: National Evidence-based Healthcare Collaborating Agency. 2011. 288 p.
- Zheng P, Liang X, Huang G, Liu X. Mapping the field of communication technology research in Asia: content analysis and text mining of SSCI journal articles 1995-2014. Asian J Commun. 2016 Oct 20;26(6):511-31. https://doi.org/10.1080/01292986.2016.1231210
- Persson O, Danell R, Schneider JW. How to use Bibexcel for various types of bibliometric analysis. Astrom F, Danell R, Larsen B, Schneider JW, editors. ISSI Newsl [Internet]. 2009 Jun [cited 2019 Jan 20];05-S:9-24. Available from: http://issi-society.org/media/1053/ollepersson60.pdf
- Park EJ, Ahn DW, Park CS. Text network analysis of newspaper articles on life-sustaining treatments. J Korean Acad Community Health Nurs. 2018 Jun 1;29(2):244-56. https://doi.org/10.12799/jkachn.2018.29.2.244
Cited by
- 간호사의 직장 내 괴롭힘에 대한 국내 연구 동향 분석: 의미연결망분석과 토픽모델링 중심 vol.28, pp.4, 2019, https://doi.org/10.5807/kjohn.2019.28.4.221
- Knowledge Structure of Nursing Studies on Heart Failure Patients in South Korea through Text Network Analysis vol.32, pp.4, 2019, https://doi.org/10.7475/kjan.2020.32.4.409
- 텍스트마이닝 기법을 활용한 국내 음식관광 연구 동향 분석 vol.35, pp.1, 2020, https://doi.org/10.7318/kjfc/2020.35.1.65
- 고에너지 물리학 분야 국내 연구자들의 학술 커뮤니케이션 특성 분석: SCOAP3 오픈 액세스 학술지를 중심으로 vol.37, pp.2, 2019, https://doi.org/10.3743/kosim.2020.37.2.285
- Identification of the Knowledge Structure of Cancer Survivors’ Return to Work and Quality of Life: A Text Network Analysis vol.17, pp.24, 2020, https://doi.org/10.3390/ijerph17249368
- Trends of Nursing Research on Accidental Falls: A Topic Modeling Analysis vol.18, pp.8, 2019, https://doi.org/10.3390/ijerph18083963
- Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis vol.27, pp.3, 2019, https://doi.org/10.4094/chnr.2021.27.3.201
- 당뇨병 모바일 앱 관련 연구동향: 텍스트 네트워크 분석 및 토픽 모델링 vol.23, pp.3, 2019, https://doi.org/10.7586/jkbns.2021.23.3.170
- Identifying the Knowledge Structure and Trends of Outreach in Public Health Care: A Text Network Analysis and Topic Modeling vol.18, pp.17, 2019, https://doi.org/10.3390/ijerph18179309