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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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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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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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. …”
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Cohort and Rhyme Priming Emerge from the Multiplex Network Structure of the Mental Lexicon by Massimo Stella

“…Complex networks recently opened new ways for investigating how language use is influenced by the mental representation of word similarities. …”
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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. …”
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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…The strenuous mining and arduous discovery of the concealed community structure in complex networks has received tremendous attention by the research community and is a trending domain in the multifaceted network as it not only reveals details about the hierarchical structure of multifaceted network but also assists in better understanding of the core functions of the network and subsequently information recommendation. …”
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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.…”
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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. …”
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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

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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. …”
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