Search results
Results: 8
Number of items: 8
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Nevin, J., Zhang, P., Dimitrov, D., Lees, M., Groth, P., & Dietze, S. (2025). Understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis. In M. Alam, M. Rospocher, M. V. Erp, L. Hollink, & G. A. Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 69–85). (Lecture Notes in Artificial Intelligence; Vol. 15370). Springer. https://doi.org/10.1007/978-3-031-77792-9_5 -
Nevin, J. (2023). Data Integration Landscape Naive Implementation [Data set]. Mendeley Data. https://doi.org/10.17632/9jdzy6jr82.1
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Nevin, J., Groth, P., & Lees, M. (2023). An approach for analysing the impact of data integration on complex network diffusion models. Journal of complex networks, 11(4), Article cnad025. https://doi.org/10.1093/comnet/cnad025 -
Nevin, J., Groth, P., & Lees, M. (2023). Data Integration Landscapes: The Case for Non-optimal Solutions in Network Diffusion Models. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. 494-508). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8_35 -
Nevin, J., Lees, M., & Groth, P. (2022). NIDMod - Network Integration and Diffusion Modeller [Data set]. GitHub. https://github.com/jim-g-n/nidmod
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Nevin, J., Lees, M., & Groth, P. (2021, September 20). Network simulation algorithms [Data set]. Mendeley Data. https://doi.org/10.17632/fpjpznrbt2.2
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Nevin, J., Lees, M., & Groth, P. (2021). The non-linear impact of data handling on network diffusion models. Patterns, 2(12), Article 100397. https://doi.org/10.1016/j.patter.2021.100397
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