• Title/Summary/Keyword: social network service (SNS)

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Implementation of Social Network Application for Civil Service based on Android (안드로이드 기반의 민원 서비스를 위한 소셜 네트워크 애플리케이션의 구현)

  • Park, Hung-Bog;Seo, Jung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.11
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    • pp.1323-1330
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    • 2014
  • As for civil service support, the interaction between citizens as well as the government and citizens has an important value, and the participation between citizens be very important. The interaction between these citizens can lead to spreading the use of the app by getting them to share their status information with an specified number of people in the public service such as a social network service. Mobile-based social network service has various built-in sensors to increase the interaction between the government and citizens and post the status information of users on SNS. In this regard, this paper proposed a social network application for civil services based on the Android by using location-based context information. Experimental results showed that since the application proposed in this paper can be applied to low-performance system and exhibits high performance, it can allow users located at a short distance to detect new information and share contents by adding the content to SNS which is the closest to the location of users.

Perception of dental office visits of social network service users (SNS 이용자의 치과 SNS 특성에 관한 인식도)

  • Bo-Young, Park;Seon-Min, An;Eun-A, Bae;Hyeon-Gyeong, Kim;So-Yeon, Park;Hyo-Eun, Park;Neul-Byeol, Ha;Mi-Suk, Yoon
    • Journal of Korean Dental Hygiene Science
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    • v.5 no.2
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    • pp.35-44
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    • 2022
  • Background: This study was aimed at investigating the perception of social network service (SNS) users regarding dental office visits and determining the proportion of dental SNS users among general SNS users. Methods: We surveyed 177 adults using SNSs. Dental SNS characteristics were classified into information provision, interaction, recency, reliability, and interest, and the recognition level of each area was surveyed on a 5-point scale. The total number of items was 17, including three information provision, three interaction, four recency, four reliability, and three interest items. Results: Among the five domains, the recognition level was the highest for reliability (3.51 points) and the lowest for interest (2.94 points). Among the 17 items, the recognition level was the highest for "Educational information provided by dental SNS is valuable" at 3.60 points, "Dental SNS educational video is useful for information sharing and dental knowledge improvement" at 3.53 points, and "The perceived educational information of dental SNS is reliable" at 3.51 points. Participants in their 20s and 30s had higher scores for being up-to-date (3.33 and 2.88 points, respectively) and reliability (3.59 and 3.09 points, respectively) than those in their 40s or older. The recognition level of all areas of dental SNS characteristics was significantly higher for experienced dental SNS users than for nonexperienced ones. Conclusions: The results of this study suggested that dental institutions should consider ways to utilize SNS for patient management and education and that dental SNS-related contents should contain educational and reliable information to help SNS users manage their oral health.

Effects of SNS Characteristics on SNS Engagement and Consumer Brand Engagement

  • CHO, Byung-Kwan;SHIN, Hyang-Sook
    • The Korean Journal of Franchise Management
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    • v.11 no.2
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    • pp.23-39
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    • 2020
  • Purpose: Social Network Sites(SNS) have been grown up as a public communication channel consumer frequently participate in. Most of food service brands are utilizing social media for advertising recently. As a result of SNS marketing, food service brands anticipate positive outputs from SNS engagement and consumer brand engagement so that we need to verify structural relationship among SNS characteristics, SNS engagement and consumer brand engagement. Research design, data, and methodology: This study identifies that SNS characteristics have effects on SNS engagement and examines relationship between SNS engagement and behavioral engagement. We conceptualize SNS characteristics as information quality, hedonic level and interaction. Furthermore, SNS engagement is composed of SNS participation, positive word of mouth(WOM). In order to verify the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. Sample data were collected from 433 online survey panels and analyzed by using SmartPLS 3.2.9. Result: The findings of this research are as follows. First, information quality is positively related with SNS participation. Hedonic level and interaction have impacts on SNS participation and positive WOM respectively. Second, SNS participation has positive effects on positive WOM. Third, both SNS participation and WOM influence behavioral engagement respectively. Conclusions: The implications demonstrate that SNS characteristics such as information quality and hedonic level and interaction exert effects for consumer to participate in SNS brand page. Meanwhile, hedonic level and interaction influence on positive WOM but information quality doesn't. SNS participation and positive WOM affect consumer to engage in specific brand behaviorally as well. Therefore, food service brand marketer is required to manage SNS information quality and hedonic level and interaction among members to encourage SNS participation and positive WOM. As SNS participation and positive WOM increases behavioral engagement of consumer, marketer needs to incentivize SNS participation and look after situation of positive WOM and respond swiftly.

Effect of the Circadian Rhythm on Social Network Service Addiction

  • Hong, Sunyeun;Park, Gangwoo;Kim, Teasun
    • International Journal of Advanced Culture Technology
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    • v.6 no.2
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    • pp.16-22
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    • 2018
  • This study is a descriptive survey research to investigate the effect of the circadian rhythm of the college students in different departments on the addiction to SNS. The subjects of this study were 150 freshman students in the Department of Nursing in K university, a four-year university located in Gumi, Gyeongbuk, and 130 freshmen students in the Department of Mechanical Engineering in K Engineering university located in the same city. In this study, the difference of circadian rhythm and SNS addiction was analyzed among the subjects in different departments. The result showed that the circadian rhythm was not significantly different between the departments, but SNS addiction showed significant difference between the departments.

A User Sentiment Classification Using Instagram image and text Analysis (인스타그램 이미지와 텍스트 분석을 통한 사용자 감정 분류)

  • Hong, Taekeun;Kim, Jeongin;Shin, Juhyun
    • Smart Media Journal
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    • v.5 no.1
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    • pp.61-68
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    • 2016
  • According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.

Factors Affecting the Intention of Use for SNS (SNS 채택에 영향을 미치는 요인)

  • Wang, Huan;Kim, Seunggweon;Yoon, Jongsoo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.409-413
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    • 2013
  • 21세기의 인터넷은 통신기술의 진보에 따라 정보의 전달과 상업적인 거래의 플랫폼부터 점점 사람들의 생활과 밀접하게 연관된 일상적인 공간이며, 공동체를 형성하고 자기정체성을 표현하는 사회활동 공간으로 발전하고 있다. 이와 함께, 사이버 공간에서 개인화, 상호작용, 참여, 사회성 등의 특징으로 대별되는 소셜 네트워크 서비스(Social Network Service, SNS)가 전 세계적으로 확산되고 있다. 본 연구에서는 기존문헌 연구를 바탕으로 바람직한 SNS가 갖추어야 하는 특성(시스템특성, 서비스특성, 정보특성, 감성특성)을 도출하고 이러한 특성과 서비스 채택의도간의 관련성이 있는가를 파악하고자 하였다. 또한, SNS 특성과 서비스 채택의도간의 관련성이 개인의 성향에 따라 차이가 있는가를 검토하고자 하였다. SNS 이용자를 대상으로 설문지를 의뢰하여 통계분석을 실시한 결과, SNS 특성이 서비스 채택의도에 통계적으로 유의한 수준에서 긍정적 영향을 미치고 있으며, SNS 특성과 서비스 채택의도간의 관련성이 개인적 성향에 따라 차이가 존재하고 있는 것으로 파악되었다.

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Improvement of SWoT-Based Real Time Monitoring System (SWoT 기반 실시간 모니터링 시스템 개선)

  • Yu, Myung-han;Kim, Sangkyung
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.7
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    • pp.227-234
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    • 2015
  • USN-based real-time monitoring systems, which receive raw data from sensor nodes and store the processed information in traditional servers, recently get to be replaced by IoT(Internet of Things)/WoT(Web of Things)-based ones. Especially, Social Web of Things(SWoT) paradigm can make use of cloud storage over Social Network Service(SNS) and enable the possibility of integrated access, management and sharing. This paper proposes an improved SWoT-based real-time monitoring system which makes up for weak points of existing systems, and implements monitoring service integrating a legacy sensor network and commercial SNS without requiring additional servers. Especially, the proposed system can reduce emergency propagation time by employing PUSH messages.

Design and Development of POS System Based on Social Network Service (소셜 네트워크 서비스 기반의 POS 시스템 설계 및 개발)

  • Yoon, Jung Hyun;Moon, Hyun Sil;Kim, Jae Kyeong;Choi, Ju Cheol
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.143-158
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    • 2015
  • Companies and governments in an era of big data have been tried to create new values with their data resources. Among many data resources, many companies especially pay attention to data which is obtained from Social Network Service (SNS) because it reveals precise opinion of customers and can be used to estimate profiles of them from their social relationships. However, it is not only hard to collect, store, and analyze the data, but system applications are also insufficient. Therefore, this study proposes a S-POS (Social POS) system which consists of three parts; Twitter Side, POS Side and TPAS (Twitter&POS Analysis System). In this system, SNS data and POS data which are collected from Twitter Side and POS Side are stored in Mongo D/B. And it provides several services with POS terminal based on analysis and matching results which are generated from TPAS. Through S-POS system, we expect to efficient and effective store and sales managements of system users. Moreover, they can provide some differentiated services such as cross-selling and personalized recommendation services.

Tour Social Network Service System Using Context Awareness (상황인식 기반의 관광 소셜 네트워크 서비스 응용)

  • Jang, Min-seok;Kim, Su-gyum;Choi, Jeong-pil;Sung, In-tae;Oh, Young-jun;Shim, Jang-sup;Lee, Kang-whan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.573-576
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    • 2014
  • In this paper, it provides social network service using context-aware for tourism. For this the service requires Anthropomorphic natural process. The service object need to provide the function analyzing, storing and processing user action. In this paper, it provides an algorithm to analysis with personalized context aware for users. Providing service is an algorithm providing social network, helped by 'Friend recommendation algorithm' which to make relations and 'Attraction recommendation algorithm' which to recommend somewhere significant. Especially when guide is used, server analysis history and location of users to provide optimal travel path, named 'Travel path recommendation algorithm'. Such as this tourism social network technology can provide more user friendly service. This proposed tour guide system is expected to be applied to a wider vary application services.

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