Caching strategy based on node’s importance to community in information-centric networks by Jun CAI, Shun-zheng YU, Wai-xi LIU

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Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
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Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

“…Community detection is an important research topic of complex network analysis.The detection results help to understand the community structure of complex networks and provide support for downstream tasks, such as content recommendation, link detection.Considering the challenge of community detection in complex networks, a two-stage community detection algorithm based on label propagation (TS-LPA) was proposed.The TS-LPA algorithm quantified the propagation capability of nodes based on the extended neighborhood.Then a new evaluation index was proposed to measure the probability of influence between nodes using the information of nodes and the weight of edges in the network.Based on the calculation of node centrality, the algorithm determined the updating sequence of node labels and the selection strategy of seed nodes, which eliminated the instability of the algorithm in the updating process.The TS-LPA algorithm used the breadth-first propagation idea and introduced the second-stage label propagation method to improve the quality of community detection.When label began to spread, all neighboring nodes had an influence on the label of the related node.Meanwhile, the influence of neighboring seed nodes was added to complete label updating, in order to reduce the dominance of neighboring nodes on the updated node.The experimental results of different real data sets and synthetic data sets show that TS-LPA algorithm can eliminate randomness and show strong stability while effectively improving the quality of community detection.…”
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Living without Lymph Nodes by Martha C. Monroe, K. Roberts, Barbara F. Shea

“…Shea, helps women understand why lymph nodes are important, why sometimes it is necessary to sacrifice them, and recommends measures women can take to prevent or minimize infection and lymphedema after surgery for breast cancer. …”
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Living without Lymph Nodes by Martha C. Monroe, K. Roberts, Barbara F. Shea

“…Shea, helps women understand why lymph nodes are important, why sometimes it is necessary to sacrifice them, and recommends measures women can take to prevent or minimize infection and lymphedema after surgery for breast cancer. …”
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In silico identification of switching nodes in metabolic networks by Mairet, Francis

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Novel Node Centrality-Based Efficient Empirical Robustness Assessment for Directed Network by Xiaolong Deng, Hao Ding, Yong Chen, Cai Chen, Tiejun Lv

“…In recent years, while extensive researches on various networks properties have been proposed and accomplished, little has been proposed and done on network robustness and node vulnerability assessment under cascades in directed large-scale online community networks. …”
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The Spread of Information in Virtual Communities by Zhen Zhang, Jin Du, Qingchun Meng, Xiaoxia Rong, Xiaodan Fan

“…VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. …”
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The Node Arrangement Methodology of Wireless Sensor Networks for Long-Span Bridge Health Monitoring by Guang-Dong Zhou, Ting-Hua Yi

“…Wireless sensor networks (WSNs), which are a promising technology for the implementation of long-span bridge health monitoring, have gained increasing attention from both the research community and actual users. The limited energy of sensor emphasizes the importance of performance optimization of WSNs. …”
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A Relationships-based Algorithm for Detecting the Communities in Social Networks by Sevda Fotovvat, Habib Izadkhah, Javad Hajipour

“…Communities are defined as groups of nodes or summits that have strong relationships among themselves rather than between themselves. …”
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Dynamic Community in static social networks using the gray wolf optimizer algorithm by Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari

“…Identifying communities in complex networks is an important issues in social network analysis, and it helps researchers understand the function and display of network structures. …”
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Community Detection in Airline Networks: An Empirical Analysis of American vs. Southwest Airlines by Weiwei Wu, Haoyu Zhang, Shengrun Zhang, Frank Witlox

“…Results show that the model is effective in exploring the characteristics of the network connections, including the detection of the most influential nodes and communities on the formation of different network structures. …”
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A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

“…Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. …”
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Spartina alterniflora invasion significantly alters the assembly and structure of soil bacterial communities in the Yellow River Delta by Pengyuan Sun, Yuxin Wu, Pengcheng Zhu, Jingfeng Wang, Jingfeng Wang, Xiaona Yu, Weihua Guo

“…In addition, stochastic processes dominated the assembly of soil bacterial communities associated with all four plant species, but were most important for the S. alterniflora community. …”
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Communities Detection in Multiplex Networks Using Optimization: Study Case—Employment in Mexico during the COVID-19 Pandemic by Edwin Montes-Orozco, Roman Anselmo Mora-Gutiérrez, Sergio Gerardo De-Los-Cobos-Silva, Roberto Bernal-Jaquez, Eric Alfredo Rincón-García, Miguel Angel Gutiérrez-Andrade, Pedro Lara-Velázquez

“…The detection of communities in complex networks offers important information about the structure of the network as well as its dynamics. …”
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Network relationship between cognitive function and quality of life in community-dwelling older adults: an observational study from Beijing by Yitian Ye, Yichun Zhang, Jiaju Ren, Yanbo Zhu, Yanbo Zhu

“…The centrality stability coefficients for strength, closeness, and betweenness were 0.672, 0.672, and 0.285, respectively.ConclusionThe network structure was stable, indicating that dimensions such as social functioning, role-physical, and physical functioning play pivotal roles influencing cognitive function in community-dwelling older adults. Orientation and language were the most representative dimensions of cognitive function and may serve as important targets for interventions aimed at improving cognitive function and subsequently enhancing QoL. …”
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Network Analysis of MERS Coronavirus within Households, Communities, and Hospitals to Identify Most Centralized and Super-Spreading in the Arabian Peninsula, 2012 to 2016 by Oyelola A. Adegboye, Faiz Elfaki

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Diversity and Functional Insights into Endophytic Fungi in Halophytes from West Ordos Desert Ecosystems by Xingzhe Wang, Yan Zhang, Jingpeng Li, Yiteng Ding, Xiaodan Ma, Peng Zhang, Haijing Liu, Jie Wei, Yuying Bao

“…Furthermore, the high abundance of plant pathogens and saprotrophs in some fungal communities suggests their potential roles in plant defense and organic matter decomposition. …”
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Response of Soil Bacteria to Short-Term Nitrogen Addition in Nutrient-Poor Areas by Hongbin Yin, Mingyi Xu, Qingyang Huang, Lihong Xie, Fan Yang, Chao Zhang, Gang Sha, Hongjie Cao

“…Soil properties play an important role in bacterial community structure at phylum or genus levels. …”
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Multiscale network alignment model based on convolution of homogeneous multilayer graphs by CUI Jiahao, JIANG Tao, XU Mengyao

“…Social network alignment as an important research method in network science has been widely used in several fields. …”
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