• Title/Summary/Keyword: Social Networking Community

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Factors Associated with the Service Networking Experiences of Workers in Community Child Centers (지역아동센터 종사자의 지역사회서비스 연계경험에 영향을 미치는 요인에 관한 연구)

  • Kim, Hyeun-Ju;Hyun, An-Na
    • Korean Journal of Child Studies
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    • v.32 no.5
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    • pp.103-119
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    • 2011
  • This study examined the current status of the service networking experiences of workers in community child centers and the impact of various individual, organizational, and environmental factors on their service networking experiences. Structured questionnaires were mailed to the all community child centers in the Kyungnam area, and the data thus collected from 128 workers were used for the analysis. The findings indicated that most study participants did in fact possess service networking experience; however, the frequency was relatively low and the types of agencies in which this networking experienced was gained were somewhat limited. The results from the hierarchical multiple regression analysis revealed that being licensed social workers, the number of years in which a center had been operating, the numbers of workers and volunteers, the capacity of the centers, and workers' participation in work-related training were significantly associated with the frequency of worker's networking experiences. Based on the findings of this study, the implications for practice in promoting service networking among community child centers and other community resources were also discussed.

A qualitative Study of successful community networking experiences of social workers (지역사회 네트워킹(community networking) 형성·유지경험에 관한 질적 연구)

  • Jeong, Jeong-Ho
    • Korean Journal of Social Welfare Studies
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    • v.45 no.2
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    • pp.289-325
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    • 2014
  • In spite of theoretical logics about the necessities and effects of community networking, we have easily watched the failure of netwoking efforts and break of community networks in everyday life. Starting from these experiences, I tried to understand the process of community networking from the networkers'point of view, by the qualitative research method. Through qualitative in-depth interviews on the 6 experienced social workers in 4 communities, I analyzed their experiences of community network building, presented the results(practical guidelines), especially for the social workers expecting to be a community netwoker themselves. They consist of 10 categories and 5 themes(Being a leader/leaderships, partnership/teamwork building, understanding the impact of context, resource usage, netwoking sustaining).

Inculcating a Sense of Community Among Members of Social Networking Communities

  • Gupta, Sumeet;Kim, Hee-Woong;Lee, So-Hyun
    • Knowledge Management Research
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    • v.16 no.4
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    • pp.89-108
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    • 2015
  • Social networking communities (SNCs) are media designed to facilitate social interaction using highly accessible and scalable publishing techniques. SNCs can constitute individuals' their own profiles in the online environment and share texts, images and photos in a variety ways. In other words, one of the other motivators is knowledge sharing. Various sites, such as Facebook, Orkut, MySpace, and Hi5 are categorized as SNCs. SNCs have become increasingly popular in recent years among youths, especially students, who use them to build social networks. This study examines whether this usage of SNCs inculcates a sense of community among their members. Several studies have examined the role of a sense of community through increased usage in the context of virtual communities. Although this result may be true of virtual communities, this paper contends that the opposite relationship prevails in the case of SNCs because members interact to build networks and are not obliged to interact. The results reveal that maintaining long-term interactions in the SNCs is helpful in building a sense of community in SNCs. Although short-term usage may not boost the development of a sense of community in SNCs, it does matter if the premise is for a long-term commitment to SNCs. Implications for theory and practice are discussed.

Facebook Me Right: Needs-Based Segmentation of Facebook Brand Page Users

  • Lee, Kiwon;Lim, Heejin
    • Fashion, Industry and Education
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    • v.15 no.1
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    • pp.12-28
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    • 2017
  • In the era of social media, marketers have struggled to understand and serve participants' diverse and multifaceted needs in a novel form of online brand community in the social-networking sites such as Facebook. Thus, this study identifies different groups of participants affiliated with Facebook brand pages based on their needs for brand connection. The need-based segments are validated by comparing results across foodservice and consumer goods. Results of cluster analysis reveal three distinct segments (i.e., residents, lurkers, and peepers) based on participants' functional, experiential, and incentive needs. Results of multivariate analysis of variance illustrate significant differences in relational tendencies for a brand of interest among these three groups. The three groups are profiled based on participants' engagement level. Findings of this study are expected to help marketers better understand the needs of diverse participants in their SNS-embedded brand community so they can develop tailored communication strategies for targeted groups.

Cyberbullying Detection in Twitter Using Sentiment Analysis

  • Theng, Chong Poh;Othman, Nur Fadzilah;Abdullah, Raihana Syahirah;Anawar, Syarulnaziah;Ayop, Zakiah;Ramli, Sofia Najwa
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.1-10
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    • 2021
  • Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.

A Study on the implementation of public in Herman Hertzberger's cultural space (헤르만 헤르츠버거의 문화공간에 나타난 공공성 구현에 관한 연구)

  • Song, Eun-A;Kim, Moon-Duck
    • Korean Institute of Interior Design Journal
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    • v.21 no.5
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    • pp.317-327
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    • 2012
  • Recent studies show that social networking within community is becoming more valuable than individualism, and many discussions of importance of social networking are taking place. In architectural term, the ultimate goal of designing public community space is to increase retention of people. Retention of people, in other words, making people "Stay Longer" is not exactly same as "The purpose of Public Community Space", but it is one of the most effective methods to increase retention of people. An attempt of increasing retention of user through offering public community space suggests a significant change in spatial composition of Herman Hertzberger's cultural space as they are becoming a new social interaction trend. This study aims to analyze architectural progress for the implementation of public of Herman Hertzberger's cultural project. Access. The Characteristics of public community space used in cultural space were extracted and organized into the systemized elements. The systemized elements are comfort, connect, continuity, sphere, transition, and abide. Also, the extracted elements were activated Herman Hertzberger's cultural space and processed the his architectural characteristics.

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The Factors Affecting the Intention to Purchase Digital Items and Continuance Intention in Social Networking Communities: Focused on Relationship Maintenance Mechanism and Expectation-Confirmation Model (소셜 네트워킹 커뮤니티의 지속사용과 아이템 구매의도에 영향을 미치는 요인 : 관계지속 메커니즘과 기대일치모형을 중심으로)

  • Kang, Heetaek
    • Korean Management Science Review
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    • v.29 no.3
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    • pp.135-156
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    • 2012
  • Due to the rapid growth of social networking community (SNC), research into SNC user's behavior has recently emerged as an important issue in information systems. An individual makes a decision whether or not to continually use his or her own SNC and to purchase digital items to decorate it. Most previous research has focused on a user's continuance intention and has ignored the importance of purchase intention. This study develops and empirically tests an integrated model designed to predict a user's two types of behavioral intention:continuance intention and purchase intention based on the expectation-confirmation model (ECM) and a dual model of relationship maintenance mechanism.The results indicate that perceived usefulness, satisfaction, personalization, and switching cost have important influences on the formation of SNC continuance intention. The results also show that perceived usefulness and satisfaction does not have any significant impacts on purchase intention, while personalization, learning, attractiveness of alternatives, and continuance intention significantly affect it.

Barriers of community networking practices in the context of family-centered case-management (가족사례관리 중심 지역사회협의체 운영의 장애요인 및 발전 방안)

  • Auh, Seongyeon;Koh, Sun-Kang
    • Journal of Family Resource Management and Policy Review
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    • v.21 no.1
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    • pp.65-88
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    • 2017
  • The main purposes of this study are to appraise the family-centered case-management (FCCM) practices in terms of building the community networking efforts, and to propose the practical improvement suggestions to overcome the barriers in practicing the current Healthy Families Policy, FCCM. The blended methodology was employed by collecting the quantitative and qualitative data sets including an staff's on-line survey, in-depth interviews(site case studies), and FGIs. As results, the authors found, despite the building and maintaining functional community networks was the essential and critical condition for the FCCM policy deliveries, many staffs have faced hardships in FCCM practices such as building a new network or finding an available and apt network within their communities. The lack of previous experiences in case-management exaggerated the functional difficulties thus, the new staffs were more prone than the staffs with 2 or more years experiences to the misunderstanding about the missions and tasks related to FCCM. Authors suggested that various on-the-job-training should be provided to eliminate those obstacles to build and/or maintain the community network for FCCM. Also, it is necessary for the each institution's director or managers to understand the FCCM and its relation to community networking, and to support FCCM staff members.

Discovering Community Interests Approach to Topic Model with Time Factor and Clustering Methods

  • Ho, Thanh;Thanh, Tran Duy
    • Journal of Information Processing Systems
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    • v.17 no.1
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    • pp.163-177
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    • 2021
  • Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

Assessment of Student Perceptions of a Lecture Club on a Social Networking Website

  • Cho, Yun-Jin;Lee, Kyu-Hye
    • International Journal of Human Ecology
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    • v.10 no.2
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    • pp.71-78
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    • 2009
  • Efforts were made to improve the efficiency of college education through the use of information technology. This paper investigates student perceptions of a lecture club provided on a social networking website. For the empirical study, the instructor ran a lecture club for two consecutive semesters on Cyworld (www.cyworld.co.kr), a popular website among Korean youth. The research subjects were students enrolled in a Popular Culture & Fashion class. A questionnaire was distributed on the last day of the lectures. After excluding students with perfunctory responses and those who did not sign up for the community website, a total number of 297 questionnaires were used for analysis. Descriptive statistics, Pearson correlation analysis, one-way ANOVA analysis, Duncan test, and t-test were carried out, with the SPSS for Windows 12.0 being used for statistical analysis. The findings show that most students subscribed to the website and responded with a favorable attitude that the lecture club was helpful.