• 제목/요약/키워드: community network

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Community Detection using Closeness Similarity based on Common Neighbor Node Clustering Entropy

  • Jiang, Wanchang;Zhang, Xiaoxi;Zhu, Weihua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2587-2605
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    • 2022
  • In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

노년기의 인지 저하가 활동참여와 사회적 관계망에 미치는 영향 (The Effect of Cognitive Decline of Elderly on Activity Participation and Social Network)

  • 최유임;우희순
    • 대한지역사회작업치료학회지
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    • 제9권1호
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    • pp.25-34
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    • 2019
  • 목적 : 지역사회에 거주하는 경도인지장애 노인들의 인지수준이 여가나 일상생활활동 뿐만 아니라 활동에 대한 참여와 사회적 관계망에 어떤 영향을 미치는지에 대해 살펴보고자 하였다. 연구방법 : 지역사회에 거주중인 65세 이상 노인을 대상으로, MMSE-K의 점수가 15점 이상 23점 이하인 경도인지장애노인들을 대상으로 선별하였다. 대상자들의 영역별 인지능력을 알아보기 위하여 MoCA-K를, 활동참여 수준 및 사회관계망 지수를 확인하기 위하여 K-ACS와 LSNS-18을 각각 적용하였다. 결과 : 인지와 활동 참여의 관계를 살펴본 결과 인지의 다양한 하위 능력(시공간능력, 어휘능력, 주의력, 추상력, 지남력)이 수단적 일상생활, 여가활동, 사회활동에 유의한 영향을 주고 있었다. 또한 인지의 모든 하위 능력이 사회적 관계망의 하위 요소들과 유의한 상관관계를 보이는 것으로 나타났다. 결론 : 본 연구를 통하여 인지의 전반적 요소들이 경도인지장애 노인들의 다양한 영역의 활동참여 및 사회적 관계망에 영향을 주고 있는 것을 알 수 있었다. 후속 연구들을 통하여 경도인지장애 노인들의 활동 참여와 사회적 참여를 높이는 방안들이 마련되기를 제언하는 바이다.

한국 전통시장 여성근로자 건강증진 프로그램 모형개발: 지역사회 참여형 연구틀 기반 (Intervention Model Development of Health Promotion for Women Workers in Traditional Marketplaces: Using Community based Participatory Action Research)

  • 김희걸;이연숙;황원주
    • 한국직업건강간호학회지
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    • 제24권4호
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    • pp.381-391
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    • 2015
  • Purpose: The purpose of this study was to describe the intervention model development of health promotion for women workers working in the traditional marketplace, using community capacity building framework. Methods: Need assessment of the target population, work-related environment investigation, social network group building, and setting health management in the marketplace were performed. Then the interventions including cardiovascular health, musculoskeletal health, and psychological health were conducted. The results were evaluated using NCEP-ATP III(National Cholesterol Education Program's Adult Treatment Panel III), OWAS, and CES-D. Results: It was found that the intervention program for the vulnerable group in marketplace was appropriate, promoting the improvement of metabolic syndrome and the reduction of pain complaints. Therefore, the intervention framework for health promotion of women workers in the marketplace was developed. Work-related environment assessment also was included in the framework development. Several community capacity building strategies, including developing community resources and promoting partnership, making small social network group, and promoting program participation. Conclusion: It is suggested that occupational health nurses and professionals consider the appropriateness of intervention framework development after identifying the needs of women workers' work-related environmental problems.

대도시 산업지역사회의 거래 네트워크의 실태와 특성 (The Realities and Characteristics of Trade Network at the Industrial Community in a Metropolis)

  • 박순호;권경희
    • 한국지역지리학회지
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    • 제10권4호
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    • pp.787-799
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    • 2004
  • 본 연구는 대도시 산업 지역사회 존립기반 연구의 일환으로 대구시 북성로 공구상가를 사례로 기업간 거래 네트워크의 실태를 분석하였다. 이 지역은 영세소규모의 공구 판매업체 집적지로 이들 업체가 거래 관계를 맺고 있는 주요 업체들을 주로 북성로 및 인접지역에 분포하는 전형적인 도심형 산업지역사회를 구성하고 있다. 북성로 총구상가가 산업지역사회로서 존립할 수 있었던 가장 중요한 기반은 상가내 제품 수급상의 장기적인 거래 네트워크였다. 지역 업체들은 거래 관계에 있어 순수한 시장 메커니즘에 의존하기 보다는 사회자본에 기초한 기업간 네트워크 관계에 더 의존하고 있었다. 기업간 거래 네트워크를 맺게 되는 이유는 무리한 주문의 경우에도 거래가 가능하였다는 점과 외상거래가 가능한 점이였다. 이러한 기업간 거래 네트워크의 기능 및 역할에 있어서는 업체 상호간에 기술이전과 학습이 가장 중요하며, 장기간의 거래 네트워크를 유지함에 있어서는 공간적 접근성보다는 관계적 접근성이 오히려 중요한 의미를 가진다.

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Effect of Bacillus mesonae H20-5 Treatment on Rhizospheric Bacterial Community of Tomato Plants under Salinity Stress

  • Lee, Shin Ae;Kim, Hyeon Su;Sang, Mee Kyung;Song, Jaekyeong;Weon, Hang-Yeon
    • The Plant Pathology Journal
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    • 제37권6호
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    • pp.662-672
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    • 2021
  • Plant growth-promoting bacteria improve plant growth under abiotic stress conditions. However, their effects on microbial succession in the rhizosphere are poorly understood. In this study, the inoculants of Bacillus mesonae strain H20-5 were administered to tomato plants grown in soils with different salinity levels (EC of 2, 4, and 6 dS/m). The bacterial communities in the bulk and rhizosphere soils were examined 14 days after H20-5 treatment using Illumina MiSeq sequencing of the bacterial 16S rRNA gene. Although the abundance of H20-5 rapidly decreased in the bulk and rhizosphere soils, a shift in the bacterial community was observed following H20-5 treatment. The variation in bacterial communities due to H20-5 treatment was higher in the rhizosphere than in the bulk soils. Additionally, the bacterial species richness and diversity were greater in the H20-5 treated rhizosphere than in the control. The composition and structure of the bacterial communities varied with soil salinity levels, and those in the H20-5 treated rhizosphere soil were clustered. The members of Actinobacteria genera, including Kineosporia, Virgisporangium, Actinoplanes, Gaiella, Blastococcus, and Solirubrobacter, were enriched in the H20-5 treated rhizosphere soils. The microbial co-occurrence network of the bacterial community in the H20-5 treated rhizosphere soils had more modules and keystone taxa compared to the control. These findings revealed that the strain H20-5 induced systemic tolerance in tomato plants and influenced the diversity, composition, structure, and network of bacterial communities. The bacterial community in the H20-5 treated rhizosphere soils also appeared to be relatively stable to soil salinity changes.

Combined Application Effects of Arbuscular Mycorrhizal Fungi and Biochar on the Rhizosphere Fungal Community of Allium fistulosum L.

  • Chunxiang Ji;Yingyue Li;Qingchen Xiao;Zishan Li;Boyan Wang;Xiaowan Geng;Keqing Lin;Qing Zhang;Yuan Jin;Yuqian Zhai;Xiaoyu Li;Jin Chen
    • Journal of Microbiology and Biotechnology
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    • 제33권8호
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    • pp.1013-1022
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    • 2023
  • Arbuscular mycorrhizal fungi (AMF) are widespread soil endophytic fungi, forming mutualistic relationships with the vast majority of land plants. Biochar (BC) has been reported to improve soil fertility and promote plant growth. However, limited studies are available concerning the combined effects of AMF and BC on soil community structure and plant growth. In this work, a pot experiment was designed to investigate the effects of AMF and BC on the rhizosphere microbial community of Allium fistulosum L. Using Illumina high-throughput sequencing, we showed that inoculation of AMF and BC had a significant impact on soil microbial community composition, diversity, and versatility. Increases were observed in both plant growth (the plant height by 8.6%, shoot fresh weight by 12.1%) and root morphological traits (average diameter by 20.5%). The phylogenetic tree also showed differences in the fungal community composition in A. fistulosum. In addition, Linear discriminant analysis (LDA) effect size (LEfSe) analysis revealed that 16 biomarkers were detected in the control (CK) and AMF treatment, while only 3 were detected in the AMF + BC treatment. Molecular ecological network analysis showed that the AMF + BC treatment group had a more complex network of fungal communities, as evidenced by higher average connectivity. The functional composition spectrum showed significant differences in the functional distribution of soil microbial communities among different fungal genera. The structural equation model (SEM) confirmed that AMF could improve the microbial multifunctionality by regulating the rhizosphere fungal diversity and soil properties. Our findings provide new information on the effects of AMF and biochar on plants and soil microbial communities.

CC2530상에서 Z-Stack을 이용한 거리 측정 센서 네트워크 디자인 및 구현 (Design and Implementation of a Range Measuring Sensor Network with Z-Stack on CC2530)

  • 김병순;강오한
    • 디지털콘텐츠학회 논문지
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    • 제15권2호
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    • pp.167-172
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    • 2014
  • 무선 센서 네트워크 디자인 및 구현에 관한 문서들이 거의 없어서, 개발자들은 커뮤니티 공간에서 질문과 대답을 통해 정보를 획득함으로 개발에 많은 시간이 소요된다. 이 논문은 TI의 CC2530 기반에서 초음파 센서와 Z-Stack의 Generic 응용 예제 프로그램을 사용한 거리 측정 센서 네트워크 디자인 및 구현 과정을 보이고, 실험을 통해 구현 결과를 보였다. 향후 Z-Stack을 사용한 센서 네트워크를 개발하고자 할 때 개발자들은 설계 및 구현 시간을 줄일 수 있을 것이다.

마이크로 에너지 네트워크의 중앙집중형 최적 운영 모델 (An Optimal Operation Model of A Centralized Micro-Energy Network)

  • 이지혜;김학만;임용훈;이재용
    • 전기학회논문지
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    • 제62권10호
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    • pp.1451-1457
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    • 2013
  • Recently, new concept of energy systems such as microgrid, smart grid, supergrid, and energy network has been introducing. In this paper, the concept of the centralized micro-energy network, which is an energy community of a building group without district heating system, is introduced. In addition, a mathematical model for optimal operation of the micro-energy network as a main function of an energy management system (EMS) for the micro-energy network is proposed. In order to show the validation, the proposed model is tested through the simulation and analyzed.

A Campus Community-based Mobility Model for Routing in Opportunistic Networks

  • Pan, Daru;Fu, Min;Sun, Jiajia;Zou, Xin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1034-1051
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    • 2016
  • Mobility models are invaluable for determining the performance of routing protocols in opportunistic networks. The movement of nodes has a significant influence on the topological structure and data transmission in networks. In this paper, we propose a new mobility model called the campus-based community mobility model (CBCNM) that closely reflects the daily life pattern of students on a real campus. Consequent on a discovery that the pause time of nodes in their community follows a power law distribution, instead of a classical exponential distribution, we abstract the semi-Markov model from the movement of the campus nodes and analyze its rationality. Then, using the semi-Markov algorithm to switch the movement of the nodes between communities, we infer the steady-state probability of node distribution at random time points. We verified the proposed CBCNM via numerical simulations and compared all the parameters with real data in several aspects, including the nodes' contact and inter-contact times. The results obtained indicate that the CBCNM is highly adaptive to an actual campus scenario. Further, the model is shown to have better data transmission network performance than conventional models under various routing strategies.

The Optimal Operation for Community Energy System Using a Low-Carbon Paradigm with Phase-Type Particle Swarm Optimization

  • Kim, Sung-Yul;Bae, In-Su;Kim, Jin-O
    • Journal of Electrical Engineering and Technology
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    • 제5권4호
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    • pp.530-537
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    • 2010
  • By development of renewable energy and more efficient facilities in an increasingly deregulated electricity market, the operation cost of distributed generation (DG) is becoming more competitive. International environmental regulations of the leaking carbon become effective to reinforce global efforts for a low-carbon paradigm. Through increased DG, operators of DG are able to supply electric power to customers who are connected directly to DG as well as loads that are connected to entire network. In this situation, a community energy system (CES) with DGs is a new participant in the energy market. DG's purchase price from the market is different from the DG's sales price to the market due to transmission service charges and other costs. Therefore, CES who owns DGs has to control the produced electric power per hourly period in order to maximize profit. Considering the international environment regulations, CE will be an important element to decide the marginal cost of generators as well as the classified fuel unit cost and unit's efficiency. This paper introduces the optimal operation of CES's DG connected to the distribution network considering CE. The purpose of optimization is to maximize the profit of CES. A Particle Swarm Optimization (PSO) will be used to solve this complicated problem. The optimal operation of DG represented in this paper would guide CES and system operators in determining the decision making criteria.