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  • Applied Network Science: 2022, vol: 7, issue: 1
  • 1)- Alessandro Muscolino, Antonio Di Maria, Rosaria Valentina Rapicavoli, Salvatore Alaimo, Lorenzo Bellomo, Fabrizio Billeci, Stefano Borzì, Paolo Ferragina, Alfredo Ferro, Alfredo Pulvirenti. NETME: on-the-fly knowledge network construction from biomedical literature. Applied network science. 2022, 7 (1): 1
    Cited : 5
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  • 2)- Christian Bongiorno, Lorenzo Zino. A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France. Applied network science. 2022, 7 (1): 12
    Cited : 5
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  • 3)- Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Vincenzo Aquaro, Angela Lombardi, Sabina Tangaro, Roberto Bellotti. Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework. Applied network science. 2022, 7 (1): 14
    Cited : 12
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  • 4)- James B Wilsenach, Catherine E Warnaby, Charlotte M Deane, Gesine D Reinert. Ranking of communities in multiplex spatiotemporal models of brain dynamics. Applied network science. 2022, 7 (1): 15
    Cited : 0
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  • 5)- Charlie Joyez, Catherine Laffineur. The occupation space: network structure, centrality and the potential of labor mobility in the French labor market. Applied network science. 2022, 7 (1): 16
    Cited : 2
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  • 6)- Roberto Antonietti, Paolo Falbo, Fulvio Fontini, Rosanna Grassi, Giorgio Rizzini. The world trade network: country centrality and the COVID-19 pandemic. Applied network science. 2022, 7 (1): 18
    Cited : 8
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  • 7)- Shilun Zhang, Xunyi Zhao, Huijuan Wang. Mitigate SIR epidemic spreading via contact blocking in temporal networks. Applied network science. 2022, 7 (1): 2
    Cited : 4
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  • 8)- Alexey Lyutov, Yilmaz Uygun, Marc-Thorsten Hütt. Local topological features of robust supply networks. Applied network science. 2022, 7 (1): 33
    Cited : 1
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  • 9)- Amin Setayesh, Zhivar Sourati Hassan Zadeh, Behnam Bahrak. Analysis of the global trade network using exponential random graph models. Applied network science. 2022, 7 (1): 38
    Cited : 10
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  • 10)- Keith Waters, Shade T Shutters. Skills-approximate occupations: using networks to guide jobs retraining. Applied network science. 2022, 7 (1): 43
    Cited : 3
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  • 11)- D Morrison, M Bedinger, L Beevers, K McClymont. Exploring the behind metric selection in network analysis: a systematic review. Applied network science. 2022, 7 (1): 50
    Cited : 7
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  • 12)- Sanjukta Krishnagopal. The collective vs individual nature of mountaineering: a network and simplicial approach. Applied network science. 2022, 7 (1): 62
    Cited : 1
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  • 13)- Anna Concas, Caterina Fenu, Lothar Reichel, Giuseppe Rodriguez, Yunzi Zhang. Chained structure of directed graphs with applications to social and transportation networks. Applied network science. 2022, 7 (1): 64
    Cited : 5
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  • 14)- Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri. Activity-driven network modeling and control of the spread of two concurrent epidemic strains. Applied network science. 2022, 7 (1): 66
    Cited : 2
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  • 15)- Bart De Clerck, Luis E C Rocha, Filip Van Utterbeeck. Maximum entropy networks for large scale social network node analysis. Applied network science. 2022, 7 (1): 68
    Cited : 6
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  • 16)- Alexandre Bovet, Peter Grindrod. Organization and evolution of the UK far-right network on Telegram. Applied network science. 2022, 7 (1): 76
    Cited : 8
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  • 17)- Yuan Gao, Zhen Zhu. Regional industrial growth and biopharma patent networks: empirical insights from the UK. Applied network science. 2022, 7 (1): 77
    Cited : 0
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  • 18)- Eoghan Cunningham, Barry Smyth, Derek Greene. Author multidisciplinarity and disciplinary roles in field of study networks. Applied network science. 2022, 7 (1): 78
    Cited : 1
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  • 19)- Katherine Klise, Walt Beyeler, Erin Acquesta, Haedi Thelen, Monear Makvandi, Patrick Finley. Prioritizing vaccination based on analysis of community networks. Applied network science. 2022, 7 (1): 80
    Cited : 2
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  • 20)- Sophie Sadler, Derek Greene, Daniel Archambault. Towards explainable community finding. Applied network science. 2022, 7 (1): 81
    Cited : 0
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  • 21)- Sara Najem, Stefano Monni, Rola Hatoum, Hawraa Sweidan, Ghaleb Faour, Chadi Abdallah, Nada Ghosn, Hamad Hassan, Jihad Touma. A framework for reconstructing transmission networks in infectious diseases. Applied network science. 2022, 7 (1): 85
    Cited : 0
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