Social Network Analysis: Type of Information and Characteristics of Its Delivery Regarding <i>Helicobacter pylori</i> in Korea

Bang, Chang Seok; Baik, Gwang Ho

doi:2016.16.4.198

Korean J Helicobacter Up Gastrointest Res > Volume 16(4); 2016 > Article

Original Article

The Korean Journal of Helicobacter and Upper Gastrointestinal Research 2016;16(4):198-203.
DOI: https://doi.org/10.7704/kjhugr.2016.16.4.198 Published online December 10, 2016.

Social Network Analysis: Type of Information and Characteristics of Its Delivery Regarding Helicobacter pylori in Korea

Chang Seok Bang, Gwang Ho Baik

Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea. csbang@hallym.ac.kr

소셜미디어에서 관찰되는 Helicobacter pylori에 대한 정보의 특성 및 전달방식 분석

방창석, 백광호

한림대학교 의과대학 내과학교실

Received: 18 September 2016 • Accepted: 21 October 2016

Abstract

BACKGROUND/AIMS
Current production of knowledge and distribution of data is frequently mediated by social media in the form of unstructured text data rather than classical newspaper or journal format. Management of Helicobacter pylori infection is an important issue in Korea. However, there has been no study on the characteristics of information regarding H. pylori consumed and distributed in the social media by general population. MATERIALS AND METHODS: This study evaluated characteristics of social media data regarding H. pylori in Korea using semantic network analysis with Textom and NodeXL Pro (2015.8.11~2016.8.11, Naver, Daum, Youtube, and Twitter searching). RESULTS: Total collected data in the Textom analysis about ‘헬리코박터’ was 10,061. TF-IDF (term frequency × inverse document frequency) was as follows: ‘위암’, ‘위’, ‘감염’, ‘윌’, ‘균’, ‘치료’, ‘위궤양’, ‘원인’, ‘프로젝트’, ‘음식’, ‘세균’, ‘검사’, ‘예방’, ‘증상’, ‘건강’, ‘약’, ‘효과’. In the Twitter analysis, 96 nodes and 120 edges, and 86 unique edges were detected, suggesting low distribution of data. Misinformed data such as ‘헬리코박터-파이로리’, ‘라는-바이러스때문에’, ‘헬리코박터-프로젝트’, ‘위궤양이나-위’, ‘점막-출혈을’, ‘비롯하여-각종’, ‘부종을-억제하고’, ‘치료하는데-효과가’, ‘있습니다-또한’, ‘장티푸스-이질’, ‘등-전염성’, ‘세균이나-장’, ‘속의-세균들을’, ‘억제하는-효과가’, ‘프로젝트-윌’ were found. The most viewed movie in the Youtube analysis was ‘한국야쿠르트헬리코박터프로젝트윌그한입을경계하라_15초’ (210,577). CONCLUSIONS: Relative insufficiency, low distribution, and some misinformed data were found in some part of social media. Participation of healthcare professional is warranted to solve these issues.

Key Words: Social network analysis; Helicobacter pylori; NodeXL