http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
배정환(bae Junghwan) 충북대학교 사회과학연구소 2011 사회적경제와 정책연구 Vol.1 No.1
The purpose of this study is to look for the ways to secure the sustainability of the social enterprises responsible for social services by observing the concept and scope of social services and the marketization of social services in expanding the social enterprises' role of social services to be provided. To accomplish this, it need to relieve the next government's burden of providing social services and to make efforts in reducing the gap the income differential and the unemployment matter, which was society's unstable factors. In addition, to bring up the social enterprises, it is essentially necessary to complement the institutional measures to strengthen the supply's reliability and sustainability of social services as well as the changes of government's viewpoint regarding social enterprises. Currently the social enterprises, which exist in our society, are responsible for the social services and, along with job creation for low income group, need to make a profit as well, which remain to be a self-contradictory structure. This is an excessive burden against the enterprises, which are the weak relatively, by the government. Therefore, the government highly need the necessity of improvement after reviewing the matter at issue and help overcome the self-contradictory situation of enterprises properly.
정치적 이념에 따른 트위터 공간에서의 집단 간 의견차이 분석
정효정(Hyojung Jung),배정환(Junghwan Bae),홍수린(Sulyn Hong),박찬웅(Chanung Park),송민(Min Song) 한국언론학회 2016 한국언론학보 Vol.60 No.2
In this study, we examine the differences in public opinion posts of Twitter users including a mention on “Sewol ferry accident” in various political stances. We assume the selective exposure theory which states that a connection in Twitter is built between two users who shares similar political stance and the aggregation of all connections constructs a homogeneous network. Besides, twitter users may use the same term in different meaning and context according to their political stances. We apply social network analysis to identify user communities according to political stances and to evaluate the impact of the main players in each community by examining the frequent terms used in the communities. This results in not only structural implications but also semantic implications induced from the different opinions shown across homogeneous networks. Our results show the usefulness of the differences between online groups using network analysis method considering both structural and semantic perspectives. This study is expected to detect different political communities and to become a foundation of semantic network analysis.