More art than science? Exploring the roles of technology innovation hubs for urban regions in developing countries by Friederici, N

“…For future research, I propose a theoretical framework of innovation networking, integrating literature from economic geography and network science. I conclude that future TIH analysis ought to examine TIHs’ shaping of innovation networks (as the relational structure of innovation ecosystems) for the largest potential theoretical and empirical contributions.…”

Rhetorical fractures : designing for social movement growth using ancient and contemporary tools by Ravenel, John Bishop.

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Network Maximal Correlation by Feizi, Soheil, Makhdoumi Kakhaki, Ali, Duffy, Ken, Kellis, Manolis, Medard, Muriel

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Analyzing the relationship between consumer trust, awareness, brand preference, and purchase intention in green marketing by Junarsin, Eddy, Pangaribuan, Christian Haposan, Wahyuni, Maria, Hidayat, Desman, Putra, Okta Prihatma Bayu, Maulida, Putri, Soedarmono, Wahyoe

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Spatial scales of COVID-19 transmission in Mexico by Klein, B, Hartle, H, Shrestha, M, Zenteno, AC, Barros Sierra Cordera, D, Nicolás-Carlock, JR, Bento, AI, Althouse, BM, Gutierrez, B, Escalera-Zamudio, M, Reyes-Sandoval, A, Pybus, OG, Vespignani, A, Díaz-Quiñonez, JA, Scarpino, SV, Kraemer, MUG

“…Our results provide dynamic insights into how to use network science and epidemiological modeling to inform the spatial scale at which interventions are most impactful in mitigating the spread of COVID-19 and infectious diseases in general.…”

Reward optimization for content providers with mobile data subsidization: a hierarchical game approach by Xiong, Zehui, Zhao, Jun, Niyato, Dusit, Deng, Ruilong, Zhang, Junshan

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Evaluating the use of web-based games on students' vocabulary retention by Zuraina, Ali, Norsuhaily, Abu Bakar, Ahmad, Waqar, Jumadil, Saputra

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Selective network discovery via deep reinforcement learning on embedded spaces by Morales, Peter, Caceres, Rajmonda S, Eliassi-Rad, Tina

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Modeling the Geometry of Neural Network Representation Spaces by Robinson, Joshua David

“…Specifically, we use geometric spaces such as the real projective plane and the spectraplex to build a) provably powerful neural networks that respect the symmetries of eigenvectors, which is important for building Transformers on graph structured data, and b) neural networks that solve combinatorial optimization problems on graphs such as finding big cliques or small cuts, which arise in molecular engineering and network science.…”
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Effect of correlations on network controllability by Liu, Yang-Yu, Posfai, Marton, Slotine, Jean-Jacques E., Barabasi, Albert-Laszlo

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Debugging lung diseases: applying mathematical techniques for precision medicine on the pulmonary microbiome through modelling, data integration and machine learning by Jayanth Kumar Narayana

“…It contributes to data-integration, network science, compositional data analysis, patient stratification, and clinical interventions for chronic respiratory diseases.…”
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Coherent perfect absorption of single photons in a fiber network by Vetlugin, Anton N., Guo, Ruixiang, Xomalis, Angelos, Yanikgonul, Salih, Adamo, Giorgio, Soci, Cesare, Zheludev, Nikolay I.

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The 'who' and 'what' of #diabetes on Twitter by Beguerisse Diaz, M, McLennan, A, Garduño-Hernández, G, Barahona, M, Ulijaszek, S

“…We answer these questions using a mixed-methods approach, integrating techniques from anthropology, network science and information retrieval such as thematic coding, temporal network analysis, and community and topic detection. …”

Performance analysis of Message Passing Interface collective communication on intel xeon quad-core gigabit ethernet and infiniband clusters by Ismail, Roswan, Abdul Hamid, Nor Asilah Wati, Othman, Mohamed, Latip, Rohaya

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Solving convex optimization with side constraints in a multi-class queue by adaptive cμ rule by Li, Chih-ping, Neely, Michael J.

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Robot van der Rohe : 375 Park Avenue and the Future of the CBD by Steelman-Dyer, Charles Alexius

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Spectral Alignment of Graphs by Feizi, Soheil, Quon, Gerald, Medard, Muriel, Kellis, Manolis, Jadbabaie, Ali

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Linking Economic Complexity, Institutions, and Income Inequality by Hartmann, Dominik, Guevara, Miguel R, Jara-Figueroa, Cristian, Aristarán, Manuel, Hidalgo, César A

“…Here we combine methods from econometrics, network science, and economic complexity to show that countries exporting complex products-as measured by the Economic Complexity Index-have lower levels of income inequality than countries exporting simpler products. …”
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Linking Economic Complexity, Institutions, and Income Inequality by Hartmann, Dominik, Guevara, Miguel R, Jara-Figueroa, Cristian, Aristarán, Manuel, Hidalgo, Cesar Augusto

“…Here we combine methods from econometrics, network science, and economic complexity to show that countries exporting complex products-as measured by the Economic Complexity Index-have lower levels of income inequality than countries exporting simpler products. …”
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Collective dynamics response of a leader-follower networked system governed by distributed consensus dynamic by Ajaykumar Manivannan

“…A structure requires connections and to study them necessitates representation. Network science bridges this gap, and studying their dynamics allows the system of nodes and edges to be observed and controlled. …”
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