• 제목/요약/키워드: SNS privacy

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Research Trends Investigation Using Text Mining Techniques: Focusing on Social Network Services (텍스트마이닝을 활용한 연구동향 분석: 소셜네트워크서비스를 중심으로)

  • Yoon, Hyejin;Kim, Chang-Sik;Kwahk, Kee-Young
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.513-519
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    • 2018
  • The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

Evolving Internet Information & Technology as Enablers for Creating Shared Values

  • Song, In Kuk;Chun, Junchul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.309-317
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    • 2015
  • Recently many companies began to realize their visions for the sustainable growth with the advent of CSV(Creating Shared Values). Michael E. Porter, a Harvard Professor, claims that placing social value creation at the core of business strategy has the potential to uncover big opportunities for individual companies and that shared value can play a significant role in increasing competitive advantages while fostering social prosperity. In consequence, the various researches have illustrated how to get the opportunity for competitive advantages from building a social value proposition into corporate strategy, and considerable studies have been promoted heavily from the managerial perspective. However, due to the lack of capability converging information technology with business strategy, any research effort to identify technological or Internet-related issues and to link the issues to CSV does not exist. With Korean being a Internet leading country, the demands of researches analyzing core technology, information, and service utilizing Internet are rapidly growing. The study aims to find out Internet-related enablers for CSV. This paper describes the concepts and features of CSV, identifies emerging Internet-related issues toward the opportunity for competitive advantage, and then depicts the rigorous research endeavors in the areas of Internet information, technology, and services. As a result, 11 papers presented and selected as the outstanding papers at APIC-IST 2014 handle the issues to be brought together, which include: Wireless and Sensor Network, Image Processing and HCI, Big Data and Business Intelligence, Security & Privacy in Internet, SNS & Communication, Smart-Learning and e-Learning, and Internet Business Strategy. The study finally recommends indispensible terms for substantially vitalizing CSV.

An OpenAPI based Security Framework for Privacy Protection in Social Network Service Environment (소셜 네트워크 서비스 환경에서 개인정보보호를 위한 OpenAPI기반 보안 프레임워크)

  • Yoon, Yongseok;Kim, Kangseok;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.6
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    • pp.1293-1300
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    • 2012
  • With the rapid evolution of mobile devices and the development of wireless networks, users of mobile social network service on smartphone have been increasing. Also the security of personal information as a result of real-time communication and information-sharing are becoming a serious social issue. In this paper, a framework that can be linked with a social network services platform is designed using OpenAPI. In addition, we propose an authentication and detection mechanism to enhance the level of personal information security. The authentication scheme is based on an user ID and password, while the detection scheme analyzes user-designated input patterns to verify in advance whether personal information protection guidelines are met, enhancing the level of personal information security in a social network service environment. The effectiveness and validity of this study were confirmed through performance evaluations at the end.

Design and Implementation of the Chronic Disease Management Platform based on Personal Health Records (개인건강기록 기반 만성질환 관리 플랫폼의 설계 및 구현)

  • Song, Je-Min;Lee, Yong-Jun;Nam, Kwang-Woo
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.1
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    • pp.47-62
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    • 2012
  • To propagate clinical disease management service, there should be built a ecosystem where service developers, service providers, device suppliers closely cooperate for u-Health platform. However, most u-Health platform is difficult to build an effective ecosystem due to the lack of secure and effective PHR(Personal Health Record) management, the lack of personalized and intelligent service, difficulties of N-screen service. To solve these problems we suggest the CDMP(Chronic Disease Management Platform) architecture. The CDMP is a software platform that provides the core functions to develop the chronic disease management services and performs a hub function for the link and integration rbetween various services and systems. CDMP is SOA based platform that enables a provision of reusability, expansibility and it provides open API where everybody can share information, contents and services easily. CDMP supports the multi platform system foN-screen service and the self management functions via SNS. In this paper, we design and implement the CDMP including PHR service based on hybrid data model for privacy preservation. Experiment results prove the effectiveness of hybrid model-based PHR service.