• 제목/요약/키워드: Network theory

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사회과학 분야 사회적 체계 이론 연구의 지식 시각화와 매핑 - Niklas Luhmann을 중심으로 - (Knowledge Visualization and Mapping of Studies on Social Systems Theory in Social Sciences: Focused on Niklas Luhmann)

  • 박성우;홍소람
    • 한국문헌정보학회지
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    • 제56권1호
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    • pp.253-275
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    • 2022
  • Niklas Luhmann은 사회학 이론가들 중 가장 논쟁적이고 난해한 학자이면서 동시에 근 10년간 후속연구가 증가하고 있는 학자이다. 이 연구의 목적은 Luhmann의 후속연구들이 Luhmann의 난해한 개념을 어떻게 사용하고 있는지를 관찰하는 것이다. 이 연구는 선행연구와 달리 분석의 단위를 논문이 아니라 키워드로 채택하였다. 키워드는 개념을 관찰 가능하게 만드는 언어적 구성물이기 때문이다. Web of Science의 검색결과 나온 139편의 사회과학 분야 논문의 키워드를 동시출현빈도 분석하였다. 연구 결과는 다음과 같다. 첫째, 가장 중요한 키워드가 Luhmann의 이름과 이론의 이름이었다. 둘째, 클러스터링은 사회적 체계 이론, 일반체계이론, 법 체계와 정치체계, Luhmann 이론의 사회이론적 의의 등 4가지로 묶였다. 셋째, 핵심어가 'systems theory(일반체계이론)', 'communication(소통)', 'Autopoiesis(자기생산)', 'risk(위험)', 'legal system(법 체계)', 'functional differentiation(기능적 분화)', 'environment(환경)', 'social theory(사회적 이론)', 'sociological theory(사회학적 이론)', 'structural coupling(구조적 연결)', 'systems(체계들)', 'evolution(진화)'로 도출되었다. 이 연구의 의의는 다음과 같다. 첫째, 핵심어를 도출해내 Luhmann의 이론을 처음 접근하는 사람들에게 유용한 접근점을 제공하였다. 둘째, 난해한 이론적 연구의 동향 분석에도 키워드 네트워크를 통한 내용분석이 가능함을 증명하였다.

개인의 업무 네트워크 특성에 따른 동시적 CMC의 영향 : 매체 동시성 이론 관점 (The Effect of Synchronous CMC Technology by Task Network: A Perspective of Media Synchronicity Theory)

  • 김민수;박철우;양희동
    • Asia pacific journal of information systems
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    • 제18권3호
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    • pp.21-43
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    • 2008
  • The task network which is formed of different individuals can be recognized as a social network. Therefore, the way to communicate with people inside or outside the network has considerable influence on their outcome. Moreover, the position on which a member stands in a network shows the different effects of the information systems supporting communication with others. In this paper, it is to be studied how personal CMC (computer-mediated communication) tools affect the mission that those who work for a network perform through diverse task networks. Especially, we focused on synchronicity of CMC. On this score, the perspective of Media Synchronicity Theory was taken that had been suggested by criticizing Media Richness Theory. It is the objective, from this perspective, to find which characteristics of networks make the value of IT supporting synchronicity high. In the research trends of social networks, there have been two traditional perspectives to explain the effect of network: embeddedness and diversity ones. These differ from the aspect which type of social network can provide much more economic benefits. As similar studies have been reported by various researchers, these are also divided into the bonding and bridging views which are based on internal and external tie, respectively, Size, density, and centrality were measured as the characteristics of personal task networks. Size means the level of relationship between members. It is the total number of other colleagues who work with a specific member for a certain project. It means, the larger the size of task network, the more the number of coworkers who interact each other through the job. Density is the ratio of the number of relationships arranged actually to the total number of available ones. In an ego-centered network, it is defined as the ratio of the number of relationship made really to the total number of possible ones between members who are actually involved each other. The higher the level of density, the larger the number of projects on which the members collaborate. Centrality means that his/her position is on the exact center of whole network. There are several methods to measure it. In this research, betweenness centrality was adopted among them. It is measured by the position on which one member stands between others in a network. The determinant to raise its level is the shortest geodesic that represents the shortest distance between members. Centrality also indicates the level of role as a broker among others. To verify the hypotheses, we interviewed and surveyed a group of employees of a nationwide financial organization in which a groupware system is used. They were questioned about two CMC applications: MSN with a higher level of synchronicity and email with a lower one. As a result, the larger the size of his/her own task network, the smaller its density and the higher the level of his/her centrality, the higher the level of the effect using the task network with CMC tools. Above all, this positive effect is verified to be much more produced while using CMC applications with higher-level synchronicity. Among the a variety of situations under which the use of CMC gives more benefits, this research is considered as one of rare cases regarding the characteristics of task network as moderators by focusing ITs for the operation of his/her own task network. It is another contribution of this research to prove empirically that the values of information system depend on the social, or comparative, characteristic of time. Though the same amount of time is shared, the social characteristics of users change its value. In addition, it is significant to examine empirically that the ITs with higher-level synchronicity have the positive effect on productivity. Many businesses are worried about the negative effect of synchronous ITs, for their employees are likely to use them for personal social activities. However. this research can help to dismiss the concern against CMC tools.

Resource Allocation in Multiuser Multi-Carrier Cognitive Radio Network via Game and Supermarket Game Theory: Survey, Tutorial, and Open Research Directions

  • Abdul-Ghafoor, Omar B.;Ismail, Mahamod;Nordin, Rosdiadee;Shaat, Musbah M.R.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권11호
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    • pp.3674-3710
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    • 2014
  • In this tutorial, we integrate the concept of cognitive radio technology into game theory and supermarket game theory to address the problem of resource allocation in multiuser multicarrier cognitive radio networks. In addition, multiuser multicarrier transmission technique is chosen as a candidate to study the resource allocation problem via game and supermarket game theory. This tutorial also includes various definitions, scenarios and examples related to (i) game theory (including both non-cooperative and cooperative games), (ii) supermarket game theory (including pricing, auction theory and oligopoly markets), and (iii) resource allocation in multicarrier techniques. Thus, interested readers can better understand the main tools that allow them to model the resource allocation problem in multicarrier networks via game and supermarket game theory. In this tutorial article, we first review the most fundamental concepts and architectures of CRNs and subsequently introduce the concepts of game theory, supermarket game theory and common solution to game models such as the Nash equilibrium and the Nash bargaining solution. Finally, a list of related studies is highlighted and compared in this tutorial.

계층적 오드 연결망(HON) : 오드 연결망을 기반으로 하는 새로운 상호연결망 (Hierarchical Odd Network(HON): A New Interconnection Network based on Odd Network)

  • 김종석;이형옥
    • 한국정보과학회논문지:시스템및이론
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    • 제36권5호
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    • pp.344-350
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    • 2009
  • 본 논문에서는 오드 연결망을 기반으로 하는 새로운 상호연결망, 계층적 오드 연결망 HON($C_d,C_d$)을 제안한다. 그리고 HON($C_d,C_d$)의 여러 가지 망성질(연결도, 라우팅 알고리즘, 지름, 방송 등)을 분석한다. 본 논문에서 제안한 HON($C_d,C_d$)가 오드 연결망과 HCN(m,m), HFN(m,m)보다 우수한 연결망임을 보인다.

Statistical network analysis for epilepsy MEG data

  • Haeji Lee;Chun Kee Chung;Jaehee Kim
    • Communications for Statistical Applications and Methods
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    • 제30권6호
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    • pp.561-575
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    • 2023
  • Brain network analysis has attracted the interest of neuroscience researchers in studying brain diseases. Magnetoencephalography (MEG) is especially proper for analyzing functional connectivity due to high temporal and spatial resolution. The application of graph theory for functional connectivity analysis has been studied widely, but research on network modeling for MEG still needs more. Temporal exponential random graph model (TERGM) considers temporal dependencies of networks. We performed the brain network analysis, including static/temporal network statistics, on two groups of epilepsy patients who removed the left (LT) or right (RT) part of the brain and healthy controls. We investigate network differences using Multiset canonical correlation analysis (MCCA) and TERGM between epilepsy patients and healthy controls (HC). The brain network of healthy controls had fewer temporal changes than patient groups. As a result of TERGM, on the simulation networks, LT and RT had less stable state than HC in the network connectivity structure. HC had a stable state of the brain network.

Set Covering 이론을 이용한 시내버스 최적노선망 구축에 관한 연구 (A Study on the Optimal Urban Bus Network Design Using the Set Covering Theory)

  • 이승재;최재성;백혜선
    • 대한교통학회지
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    • 제17권2호
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    • pp.137-147
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    • 1999
  • 지금까지 시내버스 노선계획에 관한 대다수의 연구는 개별노선에 대한 지엽적인 분석을 바탕으로 하고 있으나 본 연구에서는 각 노선의 개별적 고려가 아닌 네트워크 차원의 최적화를 위한 노선계획 방법론을 제시하였다. 본 연구에서 제시하는 방법론은 계획가적 관점에서 버스이용자를 포함한 모든 통행자는 최단경로로 통행하기를 희망한다는 기본 전제하에 각 기종점의 최단경로로 구성된 대안 노선망을 도출하고 matrix 형태의 집합개념을 도입한 Set Covering 이론을 적용하여 노선공급수준을 축소하였다. 또한 노선축소과정에서 지금까지 부수적 통행요소로 인식되어온 환승을 활용하여 통행수요를 만족하는 최소규모의 노선망을 도출하였다. 본 연구는 고정수요를 가정하는 기존 연구와 달리 통행자 행태를 반영한 최적 노선망을 도출하기 위하여 시내버스 노선망 대안에 대한 가변수요를 구현하였다. 따라서 본 연구를 통하여 자가용이용자와 버스이용자로 구성된 전체 네트워크의 통행비용을 최소화하며 서비스 제공규모를 최소화하는 최적 시내버스 노선망을 도출하였다. 연구결과 기존연구와 비교하여 서비스 공급수준을 축소할 뿐 아니라 통행자의 행태를 고려한 해를 도출함으로써 현실성을 제고하였다.

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HIERARCHICAL CLUSTER ANALYSIS by arboART NEURAL NETWORKS and its APPLICATION to KANSEI EVALUATION DATA ANALYSIS

  • Ishihara, Shigekazu;Ishihara, Keiko;Nagamachi, Mitsuo
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2002년도 춘계학술대회 논문집
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    • pp.195-200
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    • 2002
  • ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

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게임이론에 의한 양면시장에서의 망중립성 분석 (Analysis of Network Neutrality in Two-sided Markets Using Game Theory)

  • 오형술;이재하
    • 산업경영시스템학회지
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    • 제41권3호
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    • pp.162-169
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    • 2018
  • Net neutrality, which has not been a problem, has recently become a problem for ISPs (Internet Service Providers), and their complaints have been paid by domestic platform companies, but overseas global IT companies such as Google and YouTube, generate huge revenues from domestic markets. In this situation, domestic IT companies claim that it is natural to impose more expensive charges or restrict speed on users who generate huge traffic. On the other side, however, the telecommunication network has become an essential public good that is essential to our everyday life, and because it has been given a monopoly position by a private company to efficiently respond to the explosive demand for telecommunication services, It is necessary to provide equal and universal service and fulfill public duty. In this paper, we deal with the network neutrality problem, focusing on the price elasticity between the CP (Contents Provider) and the ISP, rather than the user who is one side of the two-sided market for the already saturated satellites communication market. We present a game model that determines the optimal price for each platform by Nash equilibrium and analyze how the net neutrality affects CP according to the change of exogenous variables through the proposed game model.

평균장 이론을 이용한 전량화분석 문제의 최적화 (Quantification Analysis Problem using Mean Field Theory in Neural Network)

  • 조광수
    • 한국정보처리학회논문지
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    • 제2권3호
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    • pp.417-424
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    • 1995
  • 본 논문에서는 정량화(Quantification) 문제를 MFT(Mean Field Theroy)를 통해서 해결하는 기법을 제안한다. 통계학에서 중요한 문제의 하나인 정량화 문제는 주어진 공간에서 대상들간의 유사성에 따라서 최적의 상태를 갖도록 하는 문제이다. 평균장 접근 방법에 기초한 한개의 변수로 표현되는 확률적 시뮬레이티드 아닐링을 제안하고 정량화 문제를 패널티(penalty) 파라메타 항을 첨가한 비한정된 최적화 문제로 변형하 여 MFT를 적용하였다. 또한 연속변수를 갖는 신경회로망에서 실제 값을 계산하는 것 보다 평균장 접근방법으로 계산하는것이 더 빠르게 계산될 수 있음을 확인하였다. 본 논문에서 제안한 방법이 실험결과 해석적인 방법보다 좋은 정량적 결과를 보였다.

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