• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.154-162
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• 2022

Digital marketing tools are actively used in managing the development of park and recreation complexes to familiarize the population with the objects of natural heritage. This article aims to empirically evaluate digital marketing tools for popularizing the park and recreational complexes. The methodology was based on the concept of ecosystem value of park and recreation complexes as a natural heritage site. These methods included: identifying and selecting websites with information about park and recreation complexes in Slovakia and Ukraine. structural analysis of the main channels of online details about natural parks. Assessing the current state of online identity of the studied sites from the perspective of Internet users. The results indicate that to manage the development of park and recreational complexes developed their driven official websites in the Internet space, on which sections structure the information with the allocation of data on tourism and recreational potential. The article identifies additional digital marketing tools for managing the development of park and recreation complexes, particularly social networks and tourist websites. There is a sufficient amount of information about tourist recreation sites within these natural parks and tourist routes. Among the main problems of the websites: the information on the websites is entirely textual, there is a lack of sufficient data on social networks, despite the created official pages, there is no video content, which was more attracted tourists and visitors, allowing a visual assessment of the tourist potential; there is a problem of many communication channels to present the natural heritage of the countries. The research proves that the website is the primary and most common digital marketing tool for natural heritage, structuring information about tourism potential and recreation.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권1호
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• pp.40-45
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• 2015

최근 온라인 소셜 네트워크의 성장에 따라, 영향력 최대화 기법을 활용한 다양한 마케팅 기법들이 소개되고 있다. 하지만 지금까지 네트워크 구성이 감춰진 경쟁 집단들이 존재하는 환경에서 영향력 최대화 문제를 해결하려고 시도한 기법은 제안된 적이 없었다. 본 논문에서는 아군 집단과 경쟁 집단 들이 존재하는 소셜 네트워크 환경에서 경쟁 집단에 영향력을 가장 최대화하는 알고리즘을 제안한다. 본 논문에서 제안하는 알고리즘은 소셜 네트워크의 속성들 중 중간 중심성, 클러스터링 계수, 지역적 연결도로와 연결, 그리고 3인조 폐쇄특징 등을 효과적으로 활용한다. 실험을 통하여 본 논문에서 제안하는 알고리즘이 기존 알고리즘보다 경쟁 집단에의 영향력을 더 확산할 수 있음을 확인하였고, 결론적으로 2배의 성능 향상을 보여 주었다.

• 한국정보시스템학회지:정보시스템연구
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• 제21권4호
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• pp.1-29
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• 2012

The purpose of this study was to find about personal information security of internet and social networks by focusing on end users. User competence and subjective criterion, which are the antecedents, are affecting security behaviors For these security behaviors, the study examined the relationship between security behavior intention on internet use and security behavior intention about social network that is actively achieved in many fields. Behaviors of internet and social network were classified into an action of executing security and an action of using a security technology. In addition, this study investigated a theory about motivational factors of personal intention on a certain behavior based on theory of reasoned action in order to achieve the purpose of this study. A survey was conducted on 224 general individual users through online and offline, and the collected data was analyzed with SPSS 12.0 and SmartPLS 2.0 to verify demographic characteristics of respondents, exploratory factor analysis, and suitability of a study model. Interesting results were shown that security behavior intention of social network is not significant in all security behavior execution, which is security performance behavior, and security technology use. Internet security behavior is significant to security technology use but it does not have an effect on behavior execution.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.853-864
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• 2019

Microblogging services (such as Twitter) are the representative information communication networks during the Web 2.0 era, which have gained remarkable popularity. Weibo has become a popular platform for information dissemination in online social networks due to its large number of users. In this study, a microblog information dissemination model is presented. Related concepts are introduced and analyzed based on the dynamic model of infectious disease, and new influencing factors are proposed to improve the susceptible-infective-removal (SIR) information dissemination model. Correlation analysis is conducted on the existing information dissemination risk and the rumor dissemination model of microblog. In this study, web hyper is used to model rumor dissemination. Finally, the experimental results illustrate the effectiveness of the method in reducing the rumor dissemination of microblogs.

• Journal of Information Science Theory and Practice
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• 제11권4호
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• pp.14-39
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• 2023

Cybercrime is a significant threat to Internet users, involving crimes committed using computers or computer networks. The landscape of cyberspace presents a complex terrain, making the task of tracing the origins of sensitive data a formidable and often elusive endeavor. However, tracing the source of sensitive data in online cyberspace is critically challenging, and detecting cyber-criminals on the other hand remains a time-consuming process, especially in social networks. Cyber-criminals target individuals for financial gain or to cause harm to their assets, resulting in the loss or theft of millions of user data over the past few decades. Forensic professionals play a vital role in conducting successful investigations and acquiring legally acceptable evidence admissible in court proceedings using modern techniques. This study aims to provide an overview of forensic investigation methods for extracting digital evidence from computer systems and mobile devices to combat persistent cybercrime. It also discusses current cybercrime issues and mitigation procedures.

• International Journal of Knowledge Content Development & Technology
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• 제7권4호
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• pp.5-26
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• 2017

A cross-cultural comparison of social networking structure on McDonald's Facebook fan sites between Taiwan and the USA was conducted utilizing the individualism/collectivism dimension proposed by Hofstede. Four network indicators are used to describe the network structure of McDonald's Facebook fan sites: size, density, clique and centralization. Individuals who post on both Facebook sites for the year of 2012 were considered as network participants for the purpose of the study. Due to the huge amount of data, only one thread of postings was sampled from each month of the year of 2012. The final data consists of 1002 postings written by 896 individuals and 5962 postings written by 5532 individuals from Taiwan and the USA respectively. The results indicated that the USA McDonald's Facebook fan network has more fans, while Taiwan's McDonald's Facebook fan network is more densely connected. Cliques did form among the overall multiplex and within the individual uniplex networks in two countries, yet no significant differences were found between them. All the fan networks in both countries are relatively centralized, mostly on the site operators.

• Asian Journal for Public Opinion Research
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• 제8권3호
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• pp.246-264
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• 2020

As netizens increasingly utilize social media to obtain and engage with information, this study aims to determine the extent to which the follower-influencer interaction is manifested and strengthened. To analyze information related to the novel coronavirus disease (COVID-19), a total of 62,119 online posts from 11 Internet forums were examined to find a relationship between followers and influencers in Taiwan. These forums are PTT, SOGO, Ck101, Plurk, Mobile01, TalkFetnet, Gamez, PlaySport, Dcard, Eyny, and PCDVD. The variables that were the best predictors of influencer classification were strong influences, engagements, and hot values across 11 Internet forums. Learning the response to the COVID-19 pandemic is vital because public actions could have been fueled by stigmatizing terms that may harm public health and well-being. The results questioned the conventional diffusion of traditional news sources because the influencers brought widespread attention to the health threat issues in the early outbreak stages. This study enhances the understanding of forum types, follower engagement, and influencers' impact maximization in social networks. The conclusion provides insight into the relationships and information diffusion mechanisms to ensure accurate health information dissemination.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• 정보보호학회논문지
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• 제22권3호
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• pp.505-514
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• 2012

싸이월드, 페이스북과 같은 소셜 네트워킹 서비스는 개인적인 데이터를 지인들과 공유하는데 매우 유용하다. 이들은 대부분 중앙 집중형 서버를 기반으로 하는데, 이 같은 시스템은 사용자들의 모든 통신 내역이 서버에게 노출된다는 단점을 가진다. 이러한 문제점을 개선하기 위해서 p2p 시스템에 착안한 분산된 소셜 네트워킹 서비스와 그 안에서 타인의 데이터에 접근하는 것을 제어하는 연구가 진행 중이다. 기존의 접근제어 기법에서는 신뢰하는 제 3기관이 필요하거나 프로토콜에 참여하는 모든 사용자들이 온라인 상태여야 하고, 사용자들이 분산된 방식으로 구축한 소셜 네트워크가 서버에게 노출되는 단점이 존재했다. M. Atallah 등은 처음으로 암호학적인 키 관리 기법을 활용해서 기존의 기법들이 지닌 문제점을 모두 해결했지만, 제안된 기법이 매우 비효율적이라는 한계가 있었다. 본 논문에서는 이 기법이 가진 비효율을 분석하고, 키 관리 기법이 아닌 대칭키 기반의 환형(circular) 암호를 최초로 적용하여 효율적인 접근제어 기법을 제안한다. 제안하는 기법은 온라인 상에 구축된 소셜 네트워크를 통해서 사용자 데이터에 대한 접근을 분산된 방식으로 제어하고, 서버가 그 네트워크를 추론할 수 없도록 기존의 기법보다 향상된 효율성과 안전성을 제공한다.

• 한국노년학
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• 제41권3호
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• pp.353-371
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• 2021

본 연구는 코로나 19 상황의 독거노인에 대한 빅데이터를 토대로 사회전반적인 개입 및 대응의 담론을 밝힘으로써 사회복지적 정책 수립의 실마리를 제공하고자하는데 목적이 있다. 이를 위하여 2020년 1월 1일부터 2020년 9년 25일까지 수집된 온라인 뉴스 데이터를 활용하여 사회관계망 분석, 토픽모델링 분석을 수행하였다. 분석 결과는 다음과 같다. 첫째, 사회관계망 분석결과, 연결정도 중심성, 위세중심성, 매개중심성 모두 지역, 전달, 사회, 지원, 취약을 중심으로 네트워크가 형성됨으로써 독거노인에 대해서는 각종 지원 및 서비스 전달체계의 필요성에 대한 담론이 형성되었음을 확인하였다. 둘째, 토픽모델링 분석 결과 '공공전달체계 구축''지역사회 지원체계 구축''돌봄공백 보전관리''민간 경제적 지원체계 구축''봉사조직체계 구축'등의 주제가 나타나며, 크게 정부, 지역사회, 민간에서의 유기적 역할에 대한 담론이 제시되었다. 연구결과를 바탕으로 코로나 19와 같은 재난상황에서 독거노인에 대한 개입방안에 대한 논의를 제언함으로써 정책적, 실천적 함의를 제시하였다.