• Title/Summary/Keyword: SNA(Social Network Analysis)

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IPC Code Based Analysis of Technology Convergence of the IoT Patents in South Korea, China, and Japan : Focusing on PCT International Applications (한중일 사물인터넷(IoT) 관련 특허의 IPC 코드 기반 기술융복합 분석 : PCT 국제출원을 중심으로)

  • Shim, Jaeruen
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.7
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    • pp.949-955
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    • 2020
  • In this Study, Social Network Analysis of IoT related patents in South Korea, China, and Japan was conducted from the viewpoint of patent informatics. To this end, 2,526 patents filed by PCT until December 2019 were investigated up to the subclass level of the IPC code. As a result, in the case of South Korea, representative IPC codes are in the order of G06Q, H04L, G06F, H04W, and the highest frequency of interconnection is H04L→H04W, H04W→H04L, H04W→H04B. In China, the representative IPC codes are in the order of H04L, H04W, G05B, G06Q. South Korea has strong technological convergence centered on the G06Q, while China has strong convergence centered around H04L and H04W. Moreover, in China, H04L and H04W have more diverse combinations than in South Korea in Section A, B, G, and H. In the future, it is necessary to study the diversity of technology convergence of H04L and H04W in China.

A Study on the Structural Characteristics of Collaborative Network of Multicultual Agencies : with a Special Reference to Busan Area (다문화지원기관 협력네트워크의 구조적 특성 - 부산지역을 중심으로 -)

  • Koo, Bon-Jin;Lee, Yeon-Ok;Chang, Durk-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.46 no.4
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    • pp.403-426
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    • 2015
  • This study attempts to analyze the structure of collaborative network among multicultural agencies in Busan area. The survey was conducted with such agencies as multicultural family support centers, regional government offices, public libraries, social welfare centers, and other NGO-supported agencies, in order to analyze the structural features of the network. The results of the study indicate that cooperative networks are hardly in action except for the one among agencies which share their function, roles, and characteristics in common, that regional government offices and multicultural family support centers have high density networks with other agencies and performed major roles. Public libraries, however, only collaborate with other libraries, or did not participated in the networks, which indicates that endeavors of public libraries to cooperate with other multicultural agencies is needed.

QualityRank : Measuring Authority of Answer in Q&A Community using Social Network Analysis (QualityRank : 소셜 네트워크 분석을 통한 Q&A 커뮤니티에서 답변의 신뢰 수준 측정)

  • Kim, Deok-Ju;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of KIISE:Databases
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    • v.37 no.6
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    • pp.343-350
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    • 2010
  • We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

Effects of Customers' Relationship Networks on Organizational Performance: Focusing on Facebook Fan Page (고객 간 관계 네트워크가 조직성과에 미치는 영향: 페이스북 기업 팬페이지를 중심으로)

  • Jeon, Su-Hyeon;Kwahk, Kee-Young
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.57-79
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    • 2016
  • It is a rising trend that the number of users using one of the social media channels, the Social Network Service, so called the SNS, is getting increased. As per to this social trend, more companies have interest in this networking platform and start to invest their funds in it. It has received much attention as a tool spreading and expanding the message that a company wants to deliver to its customers and has been recognized as an important channel in terms of the relationship marketing with them. The environment of media that is radically changing these days makes possible for companies to approach their customers in various ways. Particularly, the social network service, which has been developed rapidly, provides the environment that customers can freely talk about products. For companies, it also works as a channel that gives customized information to customers. To succeed in the online environment, companies need to not only build the relationship between companies and customers but focus on the relationship between customers as well. In response to the online environment with the continuous development of technology, companies have tirelessly made the novel marketing strategy. Especially, as the one-to-one marketing to customers become available, it is more important for companies to maintain the relationship marketing with their customers. Among many SNS, Facebook, which many companies use as a communication channel, provides a fan page service for each company that supports its business. Facebook fan page is the platform that the event, information and announcement can be shared with customers using texts, videos, and pictures. Companies open their own fan pages in order to inform their companies and businesses. Such page functions as the websites of companies and has a characteristic of their brand communities such as blogs as well. As Facebook has become the major communication medium with customers, companies recognize its importance as the effective marketing channel, but they still need to investigate their business performances by using Facebook. Although there are infinite potentials in Facebook fan page that even has a function as a community between users, which other platforms do not, it is incomplete to regard companies' Facebook fan pages as communities and analyze them. In this study, it explores the relationship among customers through the network of the Facebook fan page users. The previous studies on a company's Facebook fan page were focused on finding out the effective operational direction by analyzing the use state of the company. However, in this study, it draws out the structural variable of the network, which customer committment can be measured by applying the social network analysis methodology and investigates the influence of the structural characteristics of network on the business performance of companies in an empirical way. Through each company's Facebook fan page, the network of users who engaged in the communication with each company is exploited and it is the one-mode undirected binary network that respectively regards users and the relationship of them in terms of their marketing activities as the node and link. In this network, it draws out the structural variable of network that can explain the customer commitment, who pressed "like," made comments and shared the Facebook marketing message, of each company by calculating density, global clustering coefficient, mean geodesic distance, diameter. By exploiting companies' historical performance such as net income and Tobin's Q indicator as the result variables, this study investigates influence on companies' business performances. For this purpose, it collects the network data on the subjects of 54 companies among KOSPI-listed companies, which have posted more than 100 articles on their Facebook fan pages during the data collection period. Then it draws out the network indicator of each company. The indicator related to companies' performances is calculated, based on the posted value on DART website of the Financial Supervisory Service. From the academic perspective, this study suggests a new approach through the social network analysis methodology to researchers who attempt to study the business-purpose utilization of the social media channel. From the practical perspective, this study proposes the more substantive marketing performance measurements to companies performing marketing activities through the social media and it is expected that it will bring a foundation of establishing smart business strategies by using the network indicators.

An Evaluation of the Necessity of Security Management of Personal Information Consignees : using Privacy Policy and ISMS data (개인정보 수탁사의 보안관리 대상 식별 방안 연구 : 개인정보처리방침 및 정보보호인증 데이터 이용)

  • Choi, Won-Nyeong;Kook, Kwang-Ho
    • Convergence Security Journal
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    • v.20 no.3
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    • pp.79-88
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    • 2020
  • Business consignment using personal information is increasing for the operating profit and work efficiency of Internet companies. If the personal information leakage accident occurs at the consignee, the consigner who provided personal information will be damaged greatly. The purpose of this study is to analyze the business attributes of consignee using consigned personal information and present a model that can be used to select companies with high risk of personal information leakage by considering the importance of the involved personal information. For this, personal information consignment relations, consignment services, and personal information items used were analyzed. Social network analysis and cluster analysis were applied to select companies with high network centrality that are advisable to obtain information security certification. The results of this study could be used to establish information protection strategies for private or public enterprises that manage companies using personal information.

Movie Recommendation System using Community Detection and Parallel Programming (커뮤니티 탐지 및 병렬 프로그래밍을 이용한 영화 추천 시스템)

  • Sadriddinov Ilkhomjon;Yixuan Yang;Sony Peng;Sophort Siet;Dae-Young Kim;Doo-Soon Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.389-391
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    • 2023
  • In the era of Big Data, humanity is facing a huge overflow of information. To overcome such an obstacle, many new cutting-edge technologies are being introduced. The movie recommendation system is also one such technology. To date, many theoretical and practical kinds of research have been conducted. Our research also focuses on the movie recommendation system by implementing methods from Social Network Analysis(SNA) and Parallel Programming. We applied the Girvan-Newman algorithm to detect communities of users, and a future package to perform the parallelization. This approach not only tries to improve the accuracy of the system but also accelerates the execution time. To do our experiment, we used the MovieLense Dataset.

An Analysis for Deriving New Convergent Service of Mobile Learning: The Case of Social Network Analysis and Association Rule (모바일 러닝에서의 신규 융합서비스 도출을 위한 분석: 사회연결망 분석과 연관성 분석 사례)

  • Baek, Heon;Kim, Jin Hwa;Kim, Yong Jin
    • Information Systems Review
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    • v.15 no.3
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    • pp.1-37
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    • 2013
  • This study is conducted to explore the possibility of service convergence to promote mobile learning. This study has attempted to identify how mobile learning service is provided, which services among them are considered most popular, and which services are highly demanded by users. This study has also investigated the potential opportunities for service convergence of mobile service and e-learning. This research is then extended to examine the possibility of active convergence of common services in mobile services and e-learning. Important variables have been identified from related web pages of portal sites using social network analysis (SNA) and association rules. Due to the differences in number and type of variables on different web pages, SNA was used to deal with the difficulties of identifying the degree of complex connection. Association analysis has been used to identify association rules among variables. The study has revealed that most frequent services among common services of mobile services and e-learning were Games and SNS followed by Payment, Advertising, Mail, Event, Animation, Cloud, e-Book, Augmented Reality and Jobs. This study has also found that Search, News, GPS in mobile services were turned out to be very highly demanded while Simulation, Culture, Public Education were highly demanded in e-learning. In addition, It has been found that variables involving with high service convergence based on common variables of mobile and e-learning services were Games and SNS, Games and Sports, SNS and Advertising, Games and Event, SNS and e-Book, Games and Community in mobile services while Games, Animation, Counseling, e-Book, being preceding services Simulation, Speaking, Public Education, Attendance Management were turned out be highly convergent in e-learning services. Finally, this study has attempted to predict possibility of active service convergence focusing on Games, SNS, e-Book which were highly demanded common services in mobile and e-learning services. It is expected that this study can be used to suggest a strategic direction to promote mobile learning by converging mobile services and e-learning.

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Research Institutes Network Analysis on the Established Research Equipment : Ministry of Knowledge Economy R&D Business Project (연구장비 구축 연구기관 네트워크 분석 : 지식경제부 R&D 사업 대상)

  • Ham, Myoung-In;Lee, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.13 no.3
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    • pp.307-317
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    • 2013
  • This study aims to investigate the research equipment establishing relationship by looking at research equipment information transfer that follows the network's structural and positional characteristics and the research institute's responsibilities to increase the possibility of research equipment usage by using the SNA(Social Network Analysis) method. Consequently, with the given structural characteristics of research institute, it can be concluded that because of its low density, it appears to be difficult to transfer research equipment information within the network. Government-funded research institutes that can effectively deliver research equipment information within the network system through comparison positional characteristics are ETRI, KITECH, KRICT, Sungkyungwan University, and Kyungbook National University. In addition, a virtualization node not only invigorates the network system but also acts as an intermediary factor to effectively deliver research equipment information. As results, there can be three conceivable alternatives to increase the possibility of research equipment usage. Those includes: 1. policy to encourage relationship building among research institutes 2. utilizing suitable institutes for effective delivery of research equipment information and lastly, 3. establishing a virtual intermediary institute for information sharing and utilization of isolated institutes' research equipments.

The Role of Universities and the Characteristics of Knowledge Networks in Three Regions (지역 대학의 역할과 지식 네트워크 특징에 대한 연구 : 3개 지역 비교를 중심으로)

  • Jeong, Dae-hyun;Kwon, O-Young;Jung, Yong-Nam
    • Journal of Korea Technology Innovation Society
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    • v.20 no.2
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    • pp.487-517
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    • 2017
  • In the context of an increased demand in universities' expansion of networks between other innovation actors, this research attempts to make a comparison on university-centered SCIE knowledge networks between regions. Using regional comparison, we have looked into these networks in regards to their characteristics, the importance of regional boundaries, and the effect of the regional industrial policy. As a result of this comparative analysis, we discovered that the point universities and research universities hold high centrality in regional knowledge networks, and that the characteristics of regions are reflected into this network. For instance, the Gyeonggi province had a preeminent level of industry-academy relationship, while for Daejeon it was public research institutions and academy, and Gangwon province it was between academy between academy. As a network analysis based on journals above SCIE levels, regional boundaries were not very clear in the network structures. However, within these boundaries, the impact of regional industrial policies were proven to be stronger in the Gang-won province where the academy-academy network was most prominent. The implication of this research outcome is that for regional innovation, government should more actively implement policies that can link academic institutes' knowledge to industry by expanding knowledge networks. In addition, we emphasize on the necessity of a regionally-appropriate policy, rather than a generalized industrial policy. And fundamentally, in regards to innovation, establishing a sound industrial infrastructure for regional development and efforts to link relevant actors are required.

A Heuristic-Based Algorithm for Maximum k-Club Problem (MkCP (Maximum k-Club Problem)를 위한 휴리스틱 기반 알고리즘)

  • Kim, SoJeong;Kim, ChanSoo;Han, KeunHee
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.403-410
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    • 2021
  • Given an undirected simple graph, k-club is one of the proposed structures to model social groups that exist in various types in Social Network Analysis (SNA). Maximum k-Club Problem (MkCP) is to find a k-club of maximum cardinality in a graph. This paper introduces a Genetic Algorithm called HGA+DROP which can be used to approximate maximum k-club in graphs. Our algorithm modifies the existing k-CLIQUE & DROP algorithm and utilizes Heuristic Genetic Algorithms (HGA) to obtain multiple k-clubs. We experiment on DIMACS graphs for k = 2, 3, 4 and 5 to compare the performance of the proposed algorithm with existing algorithms.