Robustness of complex supply chain networks to targeted attacks by Rueda Guerrero, María Ximena

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Engineering social contagions: Optimal network seeding in the presence of homophily by MUCHNIK, LEV, SUNDARARAJAN, ARUN, Aral, Sinan K

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Reprogramming multistable monotone systems with application to cell fate control by Shah, Rushina, Vecchio, Domitilla Del

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Robust Network Routing under Cascading Failures by Savla, Ketan, Como, Giacomo, Dahleh, Munther A

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Robustness of Interdependent Random Geometric Networks by Zhang, Jianan, Modiano, Eytan H

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On robustness paradox in air traffic networks by Cai, Qing, Alam, Sameer, Duong, Vu

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Solving specified-time distributed optimization problem via sampled-data-based algorithm by Zhou, Jialing, Lv, Yuezu, Wen, Changyun, Wen, Guanghui

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Breakup of directed multipartite networks by Cai, Qing, Pratama, Mahardhika, Alam, Sameer, Ma, Chunyao, Liu, Jiming

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Analyzing policy-making III: digital network analysis by Majó-Vázquez, S

“…I use tools from network science to this end and I discuss the implication of this regulation for the public sphere. …”

Street context of various demographic groups in their daily mobility by Salgado, Ariel, Li, Weixin, Alhasoun, Fahad, Caridi, Inés, Gonzalez, Marta

“…Abstract We present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. …”
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Structural disorder in two-dimensional network-forming materials by Ormrod Morley, D

“…This will be achieved by relating previous empirical laws (namely Lemaître’s law and the Aboav-Weaire law), to well-defined metrics in network science, and developing a variety of Monte Carlo methods to generate networks with controllable ring structures and topologies.…”

Networked World : Re-envisioning Disaster Risk by Trias, Angelo Paolo Luna

“…To do that, we need approaches that allow us to make better sense of a complex risk environment and disaster landscape so as to navigate it successfully. Network science and foresight methods can help us gain insight on how different risks link up and develop into disasters in an increasingly interconnected world.…”
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Network analysis applied to study works of fiction by Toh, De Xun

“…This paper aims to combine natural language processing, network science and machine learning techniques to explore how new insights can be obtained by using network features for prediction and classification machine learning tasks.…”
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Networked discontent: The anatomy of protest campaigns in social media by González-Bailón, S, Wang, N

“…Applying insights from network science and the theory of brokerage, we examine the cohesion of the network with community detection methods, and identify the users that spanned structural holes, creating bridges for potential information diffusion. …”

Discrete curvature on graphs from the effective resistance by Devriendt, K, Lambiotte, R

“…Being both efficient to approximate and highly amenable to theoretical analysis, these resistance curvatures have the potential to shed new light on the theory of discrete curvature and its many applications in mathematics, network science, data science and physics.…”

Physics of networks by Chen, Hong

“…In this paper, the real life applications of Network Science were discussed, followed by their associated commonly-used terminologies. …”
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Disentangling the complexity of supply relationship formations: firm product diversification and product ubiquity in the Japanese car industry by Kito, T, New, S, Reed-Tsochas, F

“…The empirical data, which captures the formation of supply relationships between carmakers and their suppliers for 200 products, was analyzed using methods developed in the emerging field of network science. The results provided significant insights into how firms' portfolios vary and interdepend, how firms diversify their portfolios, and how the effect of these may be reflected in the formation of inter-firm relationships.…”

Different approaches to community detection by Rosvall, M, Delvenne, J, Schaub, M, Lambiotte, R

“…This problem-driven classification is useful in applied network science, where it is important to select an appropriate algorithm for the given purpose. …”

Community structure in time-dependent, multiscale, and multiplex networks. by Mucha, P, Richardson, T, Macon, K, Porter, M, Onnela, J

“…Network science is an interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. …”

Understanding complex systems: from networks to optimal higher-order models by Lambiotte, R, Rosvall, M, Scholtes, I

“…Recent studies of data on actual paths in complex systems question this assumption and instead indicate that memory in paths does have considerable impact on central methods in network science. A growing research community working with so-called higher-order network models addresses this issue, seeking to take advantage of information that conventional network representations disregard. …”