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. …”
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Cross-Border Printing Privileges in the Seventeenth-Century Low Countries by Nina Lamal

“…Rather than seeing these cross-border privileges solely as a way for printers to expand the reach and commercial viability of their published works, this article demonstrates that, by securing privileges from multiple authorities, printers showed they were able to navigate the market for institutions and complex networks of power. By analysing diplomatic correspondence alongside privilege requests, I demonstrate the crucial role of ambassadors in favouring certain printers and their project. …”
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Social Network Community-Discovery Algorithm Based on a Balance Factor by Lizhao Liu, Xiaomei Shu, Biao Cai

“…In recent years, the application of clustering algorithms in the community-discovery tasks of complex networks has been studied frequently. In this study, we proposed a balance factor of node density and node-degree centrality for the core-node selection problem in community discovery. …”
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The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology by Jianhong Jiao, Yong Liu, Cuijie Xie

“…Firstly, ArcGIS software is used to solve the problem of complex networks and realize the selection and output of optional routes. …”
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Theory and Application of Interval-Valued Neutrosophic Line Graphs by Keneni Abera Tola, V. N. Srinivasa Rao Repalle, Mamo Abebe Ashebo

“…Line graphs of neutrosophic graphs are significant due to their ability to represent and analyze uncertain or indeterminate information about edge relationships and complex networks in graphs. However, there is a research gap on the line graph of interval-valued neutrosophic graphs. …”
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Dynamics of Fractional-Order Three-Species Food Chain Model with Vigilance Effect by Vinoth Seralan, Rajarathinam Vadivel, Nallappan Gunasekaran, Taha Radwan

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Efficient Enumeration of d-Minimal Paths in Reliability Evaluation of Multistate Networks by Xiu-Zhen Xu, Yi-Feng Niu, Qing Li

“…A number of real-world complex networks can be modeled as multistate networks for performance analysis. …”
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Firing propagation in empirical cognitive networks of human brain by Dehua Chen, Ruohua Gao, Zhiyin Yang, Siyu Huo, Zonghua Liu

“…So far, in the context of signal propagation, some progress has been achieved on complex networks, especially on the Caenorhabditis elegans network, but little attention has been paid to the empirical cognitive networks of the human brain, which are the networks responsible for cognitive tasks. …”
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Evolutionary game of international trade network based on trade policy differences by Jun Zheng, Junfang Wang, Aizhong Shen

“…In this paper, we build an evolutionary game model of international trade in which complex networks portray game relationships and trade policy differences are game strategies of players. …”
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Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks by Ying Duan, Xiuwen Fu, Wenfeng Li, Yu Zhang, Giancarlo Fortino

“…Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. …”
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Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition by Aiping Zhang, Guang Ren, Yejin Lin, Baozhu Jia, Hui Cao, Jundong Zhang, Shubin Zhang

“…Though label propagation algorithm (LPA) is one of the fastest algorithms for community detection in complex networks, the problem of trivial solutions frequently occurring in the algorithm affects its performance. …”
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Research on the cross-contagion between international stock markets and geopolitical risks: the two-layer network perspective by Xiao-Li Gong, Hao-Yang Ning, Xiong Xiong

“…To analyze in-depth the risk contagion path between the international stock market and geopolitics under the impact of extreme events, this paper explores the tail risk interactive contagion mechanism and dynamic effects of the double-layer network between the international stock market and geopolitics from the perspective of complex networks. Empirical research finds that geopolitical conflicts exacerbate risk contagion among international stock markets, and there are significant differences in risk contagion between developed and emerging economies. …”
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From Homeostasis to Neuroinflammation: Insights into Cellular and Molecular Interactions and Network Dynamics by Ludmila Müller, Svetlana Di Benedetto, Viktor Müller

“…We examine how neuroimmune interactions, mediated through these cellular actors and signaling pathways, create complex networks that regulate CNS functionality and respond to injury or inflammation. …”
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Social entrepreneurship as a collaborative practice: Literature review and research agenda by Sunna Kovanen

“…Findings: Three main research strands have been identified: first, community and public sector collaboration focusing on the participatory initiation of services by local communities; second, collaboration for resources and employment focusing on power relations between established organizations; and third, network- and micro-level collaboration focusing on collaborative governance of complex networks. A vaguely contextualized and non-critical approach to social entrepreneurship remains prominent; however, recent studies on community and network collaboration present nuanced approaches to scalarity and ambiguity. …”
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Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability by Yuanyuan Ma, Lingxuan Li

“…Based on the systematic analysis of the epidemic diseases and rumors spreading on the complex networks, the SIR model is introduced to research the crisis spreading in shareholding networks of listed companies and their main holders on the basis of the data about ownership structure in Chinese Stock Markets. …”
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Towards Complexity and Dynamics: A Bibliometric-Qualitative Review of Network Research in Construction by Dongping Cao, Shiting Shao

“…Future research can be enriched by investigating the multiple types of dynamic interproject relationships, adopting state-of-the-art methodologies for network data collection and triangulation, and employing multiple SNA constructs and inferential statistical methods to reveal how complex networks coevolve and interact with actors’ behaviors as well as project and organizational outcomes.…”
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Entropic imprints on bioinformatics by Ismail Mageed

“…The entropic framework is a crucial method in statistical inference that helps scientists create models to describe and predict biological systems, particularly complex networks like gene interactions. Its effectiveness comes from its simple concepts and solid mathematical foundation, making it applicable in various situations. …”
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Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

“…This framework enhances our understanding of collective behavior and has implications for bio-robotics, distributed systems, and complex networks.…”
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Semantic Modeling for SNPs Associated with Ethnic Disparities in HapMap Samples by HyoYoung Kim, Won Gi Yoo, Junhyung Park, Heebal Kim, Byeong-Chul Kang

“…A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. …”
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A Node Similarity and Community Link Strength-Based Community Discovery Algorithm by Haijuan Yang, Jianjun Cheng, Zeyi Yang, Handong Zhang, Wenbo Zhang, Ke Yang, Xiaoyun Chen

“…Community structure is one of the common characteristics of complex networks. In the practical work, we have noted that every node and its most similar node tend to be assigned to the same community and that two communities are often merged together if there exist relatively more edges between them. …”
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