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Relevant bibliographies by topics / Co-Networks

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Journal articles

Academic literature on the topic 'Co-Networks'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Co-Networks"

1

Didegah, Fereshteh, and Mike Thelwall. "Co-saved, co-tweeted, and co-cited networks." Journal of the Association for Information Science and Technology 69, no. 8 (2018): 959–73. http://dx.doi.org/10.1002/asi.24028.

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2

Díaz, David Díaz. "Amphiphilic Polymer Co-Networks." Gels 6, no. 2 (2020): 18. http://dx.doi.org/10.3390/gels6020018.

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Amphiphilic Polymer Co-networks: Synthesis, Properties, Modelling and Applications is a new and very interesting book published by the Royal Society of Chemistry and edited by Prof. Costas S. Patrickios (University of Cyprus). Herein, a brief review of the most important features of the book and its contents is provided from a personal perspective.

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3

Latif, Atefeh, Alireza Hedayati, and Vahe Aghazarian. "Improving Link Prediction in Dynamic Co-authorship Social Networks." International Academic Journal of Science and Engineering 05, no. 01 (2018): 222–40. http://dx.doi.org/10.9756/iajse/v5i1/1810020.

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4

Juan, David, Florencio Pazos, and Alfonso Valencia. "Co-evolution and co-adaptation in protein networks." FEBS Letters 582, no. 8 (2008): 1225–30. http://dx.doi.org/10.1016/j.febslet.2008.02.017.

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5

Stoica, Adelina-Alexandra. "Homophily in co-autorship networks." International Review of Social Research 8, no. 2 (2018): 119–28. http://dx.doi.org/10.2478/irsr-2018-0014.

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Abstract The main purpose of this paper is to measure the impact that homophily, structural characteristics of the networks, number of citations of the alters and their Hirsch score have on the number of citations of an ego. I have chosen co-authorship networks as a subject of research because they have a great influence on knowledge and on the diffusion of ideas. The studied populations are represented by full-time academics affiliated to sociology departments in Romania, Poland and Slovenia. Ego-network analysis was used as research design. The data was analyzed using linear hierarchical reg

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6

Praczyk, Tomasz. "Cooperative co–evolutionary neural networks." Journal of Intelligent & Fuzzy Systems 30, no. 5 (2016): 2843–58. http://dx.doi.org/10.3233/ifs-162095.

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7

Romero, David, Arturo Molina, and Luis M. Camarinha-Matos. "Co-innovation and collaborative networks." Production Planning & Control 22, no. 5-6 (2011): 445–46. http://dx.doi.org/10.1080/09537287.2010.537900.

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8

Laird, Angela R., Simon B. Eickhoff, Claudia Rottschy, Danilo Bzdok, Kimberly L. Ray, and Peter T. Fox. "Networks of task co-activations." NeuroImage 80 (October 2013): 505–14. http://dx.doi.org/10.1016/j.neuroimage.2013.04.073.

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9

GOZUBUYUK, REMZI. "CO-EVOLUTION OF MULTIPLE NETWORKS." Academy of Management Proceedings 2008, no. 1 (2008): 1–6. http://dx.doi.org/10.5465/ambpp.2008.33631531.

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10

Yu, Qi, Chao Long, Yanhua Lv, Hongfang Shao, Peifeng He, and Zhiguang Duan. "Predicting Co-Author Relationship in Medical Co-Authorship Networks." PLoS ONE 9, no. 7 (2014): e101214. http://dx.doi.org/10.1371/journal.pone.0101214.

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