• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.131-145
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• 2020

The numbers of SNS (Social Network Service) users and usage amounts are increasing every year. The influence of SNS is increasing also. SNS has a wide range of influences from daily decision-making to corporate management activities. Therefore, proper analysis of SNS can be a very meaningful work, and many studies are making a lot of effort to look into various activities and relationships in SNS. In this study, we analyze the SNS following relationships using Twitter, one of the representative SNS services. In other words, unlike the existing SNS analysis, our intention is to analyze the interests of the accounts by extracting and visualizing the accounts that two accounts follow in common. For this, a common following account was extracted using Microsoft Excel macros, and the relationship between the extracted accounts was defined using an adjacency matrix. In addition, to facilitate the analysis of the following relationships, a direction graph was used for visualization, and R programming was used for such visualization.

• Journal of Environmental Policy
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• v.12 no.2
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• pp.3-16
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• 2013

This review paper examines various terms used for the definitions and classifications of ecosystem services, often times mixed and confused, in the literature and re-establishes the concepts of important terms, including ecosystem functions, services and benefits, to enhance communication among the stake-holders in the process of decision making. The definitions and scopes of ecosystem services are differentiated depending on the policy purposes such as environmental accounting, environmental valuation and natural resource management. The importance of identification and enumeration of final outputs associated with a particular policy is addressed. In addition, the usefulness of an alternative pathway-analysis beginning from benefits, via services and function, to process/structure of ecosystem is emphasized.