Multi-query based key node mining algorithm for social networks by Guodong XIN, Tengwei ZHU, Junheng HUANG, Jiayang Wei, Runxuan Liu, Wei WANG

“…Mining key nodes in complex networks has been a hotly debated topic as it played an important role in solving real-world problems.However, the existing key node mining algorithms focused on finding key nodes from a global perspective.This approach became problematic for large-scale social networks due to the unacceptable storage and computing resource overhead and the inability to utilize known query node information.A key node mining algorithm based on multiple query nodes was proposed to address the issue of key suspect mining.In this method, the known suspects were treated as query nodes, and the local topology was extracted.By calculating the critical degree of non-query nodes in the local topology, nodes with higher critical degrees were selected for recommendation.Aiming to overcome the high computational complexity of key node mining and the difficulty of effectively utilizing known query node information in existing methods, a two-stage key node mining algorithm based on multi-query was proposed to integrate the local topology information and the global node aggregation feature information of multiple query nodes.It reduced the calculation range from global to local and quantified the criticality of related nodes.Specifically, the local topology of multiple query nodes was obtained using the random walk algorithm with restart strategy.An unsupervised graph neural network model was constructed based on the graphsage model to obtain the embedding vector of nodes.The model combined the unique characteristics of nodes with the aggregation characteristics of neighbors to generate the embedding vector, providing input for similarity calculations in the algorithm framework.Finally, the criticality of nodes in the local topology was measured based on their similarity to the features of the query nodes.Experimental results demonstrated that the proposed algorithm outperformed traditional key node mining algorithms in terms of time efficiency and result effectiveness.…”
Get full text

Optimisation of sparse deep autoencoders for dynamic network embedding by Huimei Tang, Yutao Zhang, Lijia Ma, Qiuzhen Lin, Liping Huang, Jianqiang Li, Maoguo Gong

“…Abstract Network embedding (NE) tries to learn the potential properties of complex networks represented in a low‐dimensional feature space. …”
Get full text

Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential by Shuliang Wang, Kanokwan Malang, Hanning Yuan, Aniwat Phaphuangwittayakul, Yuanyuan Lv, Matthew David Lowdermilk, Jing Geng

“…Skeleton network extraction is a crucial context in studying the core structure and essential information on complex networks. The objective of this paper is to introduce the novel network extraction method, namely, TPKS-skeleton, for investigating the global terrorism network. …”
Get full text

Multiplex Community Detection in Social Networks Using a Chaos-Based Hybrid Evolutionary Approach by Bagher Zarei, Bahman Arasteh, Mehdi Asadi, Vahid Majidnezhad, Saeid Taghavi Afshord, Asgarali Bouyer

“…An essential task within network analysis is deciphering the structure of complex networks including technological, informational, biological, and social networks. …”
Get full text

The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank by Vivek Sriram, Jakob Woerner, Yong-Yeol Ahn, Dokyoon Kim

Get full text

Hybrid probe combining MicroLED and neural electrode for precise neural modulation and multi-site recording by Gota Shinohara, Tasuku Kayama, Ayumu Okui, Wataru Oda, Atsushi Nishikawa, Alexander Loesing, Nahoko Kuga, Takuya Sasaki, Hiroto Sekiguchi

“…Optogenetics enables precise neural control but is limited by conventional optical fibers in complex networks. We present a hybrid device integrating multi-point micro-light-emitting diodes (MicroLEDs) with neural electrodes for localized light stimulation and simultaneous neural recording. …”
Get full text

Transcriptional Systems Vaccinology Approaches for Vaccine Adjuvant Profiling by Diogo Pellegrina, Heather L. Wilson, George K. Mutwiri, Mohamed Helmy

“…While other molecular biology methods can verify if one or few genes are differentially regulated in response to vaccination, systems vaccinology provides a more comprehensive picture by simultaneously identifying the hundreds or thousands of genes that interact with complex networks in response to a vaccine. Transcriptomics tools such as RNA sequencing (RNA-Seq) allow us to simultaneously quantify the expression of practically all expressed genes, making it possible to make inferences that are only possible when considering the system as a whole. …”
Get full text

Bird flock effect-based dynamic community detection: Unravelling network patterns over time by Siti Haryanti Hairol Anuar, Zuraida Abal Abas, Iskandar Waini, Mohd Fariduddin Mukhtar, Zejun Sun, Eko Arip Winanto, Norhazwani Mohd Yunos

“…Community structure is essential for topological analysis, function study, and pattern detection in complex networks. As establishing community structure in a dynamic network is difficult, it gives a unique perspective in many interdisciplinary fields. …”
Get full text

Efficiency enhancement in main path extraction in mRNA vaccine field: A novel approach leveraging intermediate patents, with shielding origin and terminus patent edges by Ting Zhang, Zhongquan Jian, Juan Chen, Dongzi Xu, Xiaoyi Yang, Yan Lu, Shu Yan, Lizi Pan, Qingqiang Wu, Zhaolian Ouyang

“…This study significantly advances the methodology of MPA, with the innovative shielding technique offering a fresh perspective for navigating complex networks and providing a deeper understanding of technological development in the mRNA vaccine domain.…”
Get full text

A distinct double-ring LH1–LH2 photocomplex from an extremophilic phototroph by Kazutoshi Tani, Kenji V. P. Nagashima, Risa Kojima, Masaharu Kondo, Ryo Kanno, Issei Satoh, Mai Kawakami, Naho Hiwatashi, Kazuna Nakata, Sakiko Nagashima, Kazuhito Inoue, Yugo Isawa, Ryoga Morishita, Shinichi Takaichi, Endang R. Purba, Malgorzata Hall, Long-Jiang Yu, Michael T. Madigan, Akira Mizoguchi, Bruno M. Humbel, Yukihiro Kimura, Yutaka Nagasawa, Takehisa Dewa, Zheng-Yu Wang-Otomo

“…The LH2 ring is composed of 9 αβ-subunits, and the BChl a molecules in the co-complex form extensive intra- and inter-complex networks to allow near 100% efficiency of energy transfer to its surrounding LH1. …”
Get full text

Evolution of China’s Interprovincial Water Flow Network by Taozhen Huang, Yan Li, Qiaoliang Zhang

“…This paper establishes an interprovincial complex network of virtual water flows in China, based on the theory on complex network, which has rarely been adopted to study the virtual water transfer network. …”
Get full text

Novel adapting packet scheduling of TD-HSUPA by Fang-wei LI, Ke WANG, Jiang ZHU, Shan-xue CHEN

“…Adapting packet scheduling was presented.The scheme made it more flexible for packet scheduling in TDHSUPA.In the scheme,it used genetic algorithm to find more suitable weights in the background.System simulation results prove that this scheme does well in dealing with complex network environment.…”
Get full text

Research on influence spread of scientific research team based on scientific factor quantification of big data by Wenbin Zhao, Zhixian Yin, Tongrang Fan, Jishuang Luo

“…Many researches mainly adopt complex network to analyze, but these researches only consider some aspects of scientific research factors, so lack of comprehensive consideration. …”
Get full text

Multiscale Analysis of Mechanical Properties and Kinetic Processes in Dry Granular Flow by Ran Xu, Enlong Liu, Jianhe Li

“…The model leveraged complex network theory and the concept of granular temperature to capture the intricate interactions occurring at the mesoscale level. …”
Get full text

Knowledge Integration and Analysis of Technological Innovation in Prefabricated Construction by Yudan Dou, Xiaoxue Fu, Tianxin Li

“…It makes a meaningful contribution to knowledge management theory and complex network theory, advancing innovative applications in PC technology.…”
Get full text

Bottom-Up Abstract Modelling of Optical Networks-on-Chip: From Physical to Architectural Layer by Alberto Parini, Luca Ramini, Fabio Lanzoni, Gaetano Bellanca, Davide Bertozzi

“…In this procedure, a complex network is decomposed into elementary switching elements whose input-output behavior is described by means of scattering parameters models. …”
Get full text

Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model by Shaojie Wu, Yan Zhu, Ning Li, Yizeng Wang, Xingju Wang, Daniel Jian Sun

“…During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. …”
Get full text

Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods by Shamseena Vahab, Adarsh Sankaran

“…Moreover, this study proposes a complex network-based fractal analysis (CNFA) framework for the multifractal analysis of daily streamflows as an alternative. …”
Get full text

Architecture and Solution of Lightweight TURN for C2C Communication by Aijun Wang, Bing Liu

“…An architecture and solution of lightweight TURN（TURN-Lite） which was suitable for C2C communication scenarios in complex network environment was described. It could simplify the communication processes used by current TURN solution and made full use of the data conversion and transfer capability of distributed data transfer devices（such as CGN/CDN）which had already deployed in current network, opened up network capabilities and provided efficient data transfer services for C2C communication applications developers.…”
Get full text

A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City by Jonatan Zischg, Christopher Klinkhamer, Xianyuan Zhan, P. Suresh C. Rao, Robert Sitzenfrei

“…In this paper, we used complex network analysis approaches to investigate topological coevolution over a century for three different urban infrastructure networks. …”
Get full text