• Title/Summary/Keyword: social network system

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Improving Public Medical and Social Services Market Management: Application of Information Technologies

  • Barzylovych, Anastasiia;Malinina, Olena;Gnyloskurenko, Ganna;Borysiuk, Iryna;Yuriy, Rayisa
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.257-266
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    • 2021
  • This article examines the features of improving the public management of the market of medical and social services using information technology to improve the efficiency of public activity in modern conditions. The interpretation of the essence of the categories "information technologies" and "information support" is analyzed. The importance of the organization of information support of public authorities in the insurance of the state apparatus of information management for the adoption and solution of state issues of the market of medical and social services has been studied. Issues and system of information support of public management of the market of medical and social services are considered. The stages of the ICT implementation process in the market of medical and social services are described. The tools of state regulation in the market of medical and social services and the introduction of targeted programs for the development of the social sphere and health care are highlighted. Recommendations for improvement are formulated public management of the market of medical services and social way introduction of ICT tools, which provide for the implementation of a set of measures aimed at intellectualizing the entire system public data management spheres. The necessity of development of innovative tools of public management of the market of medical and social services of Ukraine for the purpose of working out of strategies of increase of quality of medical and social services in the XXI century is substantiated. A number of benefits from the implementation of an effective process of application of information support of public management of the market of medical and social services to ensure the efficiency of public authorities of Ukraine. It is proposed to create a "Department of information support of self-government" and electronic health care system (e-Health) to improve the management decision-making process, which will provide an opportunity to accumulate, process, analyze, and as a result, get the expected effect in the form of balanced management decisions by public authorities of Ukraine.

An Implementation on CIS Management for Underground Social Infrastructure based on Active RFID (능동형 RFID 기반의 지하 매설물 GIS 관리 구현)

  • Baek, Jang-Mi;Hong, In-Sik
    • Journal of Internet Computing and Services
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    • v.8 no.3
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    • pp.45-56
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    • 2007
  • Recently, much research has been actively conducted for a new kind of network environment ubiquitous computing. This paper will define the smart-tag technology required by a ubiquitous environment. We will describe how to apply smart-tag-related Radio Frequency Identification(RFID) research for GIS in underground social infrastructure, a local-area wireless-communication technology. Application development is important that will be able to materialize a network environment. This research promotes various application developments, such reason currently it establishes the IT 839 from domestic. The geographic information system construction is a part of IT 839. The research which is various becomes accomplished for the ubiquitous of social base facility from domestic. Consequently, in this paper analyzes the geographic information system of existing, researches based RFID underground social infrastructure management system development. The Proposed method is complements the method of existing, and is efficient for underground social infrastructure. This system is new management system for underground social infrastructure, and provides safe administrator function using authentication of active RFID tag. It provides real processing and autonomy of administrator.

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Social Network-Based Knowledge Management System for P2P Environment (P2P 환경에서 사회적 연결망을 활용한 지식관리시스템의 구축)

  • Kim, Youn-Sang;Kwon, Suhn-Beom
    • Journal of Intelligence and Information Systems
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    • v.13 no.1
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    • pp.59-79
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    • 2007
  • P2P (Peer to Peer) techniques have been well applied to file sharing due to its cost-effectiveness and convenience. Dynamic network evolution is another good thing for P2P according to addition and deletion of nodes and change of files a node has. Our research proposes a P2P-based KMS (Knowledge Management System). Knowledge of enterprises spreads all over sub-organizations like oversea factories and sales departments and is changed in dynamic manner. P2P techniques are, therefore well matched with knowledge management domain. In order to increase search efficiency, we introduce social network theory into P2P-based KMS. Social network technique makes the most similar nodes (in KMS domain, nodes which has the most similar knowledge) its own neighbors, which makes eventually search efficiency increase. We developed our prototype system P2P-SN-KMS and evaluated by simulation.

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Profile Management System for Contact Information Privacy in Social Network Service (소셜 네트워크 서비스에서 사용자 연락정보 프라이버시 강화를 위한 개인 프로필 관리 시스템 연구)

  • Youn, Taek-Young;Hong, Do-Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.5
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    • pp.141-148
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    • 2011
  • Recently, various social network services have been grown. Among them, personal relationships based social network services such as Facebook and Twitter make a remarkable growth of industry. In such services, users' profiles are very important for establishing the relationship between two users. However some information in a user's profile causes the leakage of the user's privacy, and thus we have to deal with the information in the profile. Especially, we have to treat contact information, such as the phone number and the e-mail address, very carefully since an adversary can use the information to violate the user's privacy in real life. In this paper, we propose two profile management systems that can enhance the privacy of users in social network services. We compare our systems with existing profile management techniques in well-known social network services such as Facebook and Twitter, and show that our systems provide enhanced privacy.

Medical Texts as the Health Care System in the Joseon Dynasty :An Anthropological View on the Meaning of Medical-Text Publication (의료체계로서의 조선 의서: 인류학적 시선으로 읽는 의서 발간의 의미)

  • Kim, Taewoo
    • The Journal of Korean Medical History
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    • v.28 no.1
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    • pp.1-10
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    • 2015
  • This study examines the meaning of medical-text publication in the Joseon Dynasty by applying anthropological notions of "health care system" and "popular health care sector" to the social and political contexts of the pre-modern state. The present study focuses on the social network of senders and receivers in which medical knowledge is communicated and shared. Exploring the multi-layered structure of the network among the state, the author-practitioners, and populace, this study argues that the network of knowledge sharing system by publication of medical texts itself is a core structure in the health care system of the Joseon Dynasty. This pre-modern health care system aimed to vitalize and reinforce the "popular health care sector" by sharing medical knowledge with populace through the book-publication system. Foucault's notion of "biopolitics" provides a comparative window between the modern health care system and the health care system of the Joseon period, articulating the particularity of the pre-modern health care system.

Monitoring People's Emotions and Symptoms after COVID-19 Vaccine

  • Najwa N. Alshahrani;Sara N. Abduljaleel;Ghidaa A. Alnefaiy;Hanan S. Alshanbari
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.202-206
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    • 2023
  • Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

Recommender Systems using SVD with Social Network Information (사회연결망정보를 고려하는 SVD 기반 추천시스템)

  • Kim, Min-Gun;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.1-18
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    • 2016
  • Collaborative Filtering (CF) predicts the focal user's preference for particular item based on user's preference rating data and recommends items for the similar users by using them. It is a popular technique for the personalization in e-commerce to reduce information overload. However, it has some limitations including sparsity and scalability problems. In this paper, we use a method to integrate social network information into collaborative filtering in order to mitigate the sparsity and scalability problems which are major limitations of typical collaborative filtering and reflect the user's qualitative and emotional information in recommendation process. In this paper, we use a novel recommendation algorithm which is integrated with collaborative filtering by using Social SVD++ algorithm which considers social network information in SVD++, an extension algorithm that can reflect implicit information in singular value decomposition (SVD). In particular, this study will evaluate the performance of the model by reflecting the real-world user's social network information in the recommendation process.

A Comparative Study of Social Network Tools for Analysing Chinese Elites

  • Lee, HeeJeong Jasmine;Kim, In
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.10
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    • pp.3571-3587
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    • 2021
  • For accurately analysing and forecasting the social networks of China's political, economic and social power elites, it is necessary to develop a database that collates their information. The development of such a database involves three stages: data definition, data collection and data quality maintenance. The present study recommends distinctive solutions in overcoming the challenges that occur in existing comparable databases. We used organizational and event factors to identify the Chinese power elites to be included in the database, and used their memberships, social relations and interactions in combination with flows data collection methodologies to determine the associations between them. The system can be used to determine the optimal relationship path (i.e., the shortest path) to reach a target elite and to identify of the most important power elite in a social network (e.g., degree, closeness and eigenvector centrality) or a community (e.g., a clique or a cluster). We have used three social network analysis tools (i.e., R, UCINET and NetMiner) in order to find the important nodes in the network. We compared the results of centrality rankings of each tool. We found that all three tools are providing slightly different results of centrality. This is because different tools use different algorithms and even within the same tool there are various libraries which provide the same functionality (i.e., ggraph, igraph and sna in R that provide the different function to calculate centrality). As there are chances that the results may not be the same (i.e. centrality rankings indicating the most important nodes can be varied), we recommend a comparison test using different tools to get accurate results.

Optimal Calculation of Size of Harbor Facility ensuring Maximum Resident's Participation using SNS and ICT (SNS와 ICT를 활용한 주민 참여를 최대한 보장하는 최적 항만 시설 규모 산정)

  • Park, Sang-Goul;Hwang, Chan-Gyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.10
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    • pp.1153-1159
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    • 2014
  • In this paper we propose novel method for cost of harbor facility of redevelopment of Mookho harbor at Donghae city by using ICT(Information Communication Technology) and Social Network System that is able to participate most residents instead of partly participation for harbor development. In order to do this, we analyze urban marketing which was maximally reflected opinion of resident by using previous simple questionnaire as well as various SNS (Social Network System) as method of effective resident's participation in process harbor redevelopment. We perform optimal selection for ratio of resident's participation. We also propose calculation of optimal construction cost and method of urban marketing.

Design and Implementation of a Effective Group Manager Application (소프트웨어공학적 방법론을 고려한 소설 네트워크 서비스의 그룹 관리용 어플리케이션의 설계 및 구현)

  • Lee, Sangkon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.6 no.2
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    • pp.119-133
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    • 2013
  • This paper is to present a new social network system that is convenient to group message system. For this system, we implement a group messaging system, chatting, position monitoring, file transfer, picture drawing and/or editing, photo management system, and we combine them as one group manager application based on smart system.