Research
Working Papers
Alaimo, S. L., Aria, M., D’Aniello, L., & Spano, M. (2026). Scientific knowledge and healthcare quality: A multidimensional assessment of Italian Academic Health Science Centres. Applied Stochastic Models in Business and Industry. [forthcoming]
Aria, M., D’Aniello, L., Misuraca, M., & Spano, M. (2026). Rethinking thematic evolution in science mapping: An integrated framework for longitudinal analysis. arXiv:2603.06436. arXiv
Aria, M., D’Aniello, L., & Spano, M. (2026). A Multi-Phase Reference Matching Algorithm for Bibliometric Analysis: Design, Implementation, and Evaluation. [in preparation]
Journal Articles
Aria, M., Cuccurullo, C., D’Aniello, L., & Spano, M. (2026). Biblioshiny and the SAAS Workflow: An integrated framework for transparent and reproducible science mapping. Journal of Informetrics, 20(3), 101837.
Aria, M., Spano, M., D’Aniello, L., Cuccurullo, C., & Misuraca, M. (2026). TALL: Text Analysis for All – an interactive R-Shiny application for exploring, modeling, and visualizing textual data. SoftwareX (Elsevier), 34, 102590.
Misuraca, M., Spano, M., & D’Aniello, L. (2026). ThemeScope: A quantitative thematic analysis for depicting social representations in digital arenas. Journal of Information Science, 1–25.
Aria, M., Cuccurullo, C., D’Aniello, L., & Spano, M. (2026). SciK-Health: An open-data dashboard for the multidimensional evaluation of Italian academic health science centers. Quality & Quantity, 1–30.
Aria, M., Costanzo, D., Misuraca, M., & Spano, M. (2026). Assessing tourism sustainability through stochastic multi-criteria acceptability analysis: Insights from the Italian regional context. Management Decision, 1–18. DOI
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2026). Sintetizzare la conoscenza: Un approccio integrato per l’estrazione di contenuti rilevanti nella letteratura scientifica. Tesi e Temi, 1, 57–75.
Cobo, M. J., De Mascellis, A. M., Misuraca, M., & Spano, M. (2026). Automatic temporal framing detection for news analysis. Quality & Quantity, 60(2), 5063–5085. DOI
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2024). Comparative science mapping: a novel conceptual structure analysis with metadata. Scientometrics, 129(11), 7055–7081. DOI
Misuraca, M., Spano, M., & Celardo, L. (2024). E-wom and territorial analyses: the use of opinion mining in tourism. Turistica – Italian Journal of Tourism, 33(1), 79–99.
Celardo, L., Misuraca, M., & Spano, M. (2024). Geo-referenced sentiment analysis for tourists’ points of interest: the case of Matera European Capital of Culture. Rivista Italiana di Economia, Demografia e Statistica, 78(2), 103–114.
Del Gaudio, G., Di Taranto, E., & Spano, M. (2023). Progress in Tourism Management: Insights for the tourism industry corporate governance. Corporate Ownership & Control, 20(2), 182–195. DOI
Mele, C., Pels, J., Spano, M., & Di Bernardo, I. (2023). Emergent understandings of the market. Italian Journal of Marketing, 2023(1), 1–25.
Blasius, J., Fabbris, L., Greenacre, M., Scepi, G., & Spano, M. (2023). Special issue in memory of Simona Balbi. Italian Journal of Applied Statistics, 35(3), 261–269.
Mattera, R., Misuraca, M., Scepi, G., & Spano, M. (2023). Mixed frequency composite indicators for measuring public sentiment in the EU. Quality & Quantity, 57(3), 2357–2382.
Pels, J., Mele, C., & Spano, M. (2023). From market driving to market shaping: impact of a language shift. Journal of Business & Industrial Marketing, 38(1), 155–169. DOI
D’Aniello, L., Spano, M., Cuccurullo, C., & Aria, M. (2022). Academic Health Centers’ configurations, scientific productivity, and impact: insights from the Italian setting. Health Policy, 126(12), 1317–1323. DOI
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2022). Thematic Analysis as a new culturomic tool: the social media coverage on COVID-19 pandemic in Italy. Sustainability, 14(6), 3643.
Trinidad Segovia, J. E., Di Sciorio, F., Mattera, R., & Spano, M. (2022). A Bibliometric Analysis on Agent‐Based Models in Finance: Identification of Community Clusters and Future Research Trends. Complexity, 2022(1), 4741566. DOI
Fedele, F., Aria, M., Esposito, V., Micillo, M., Cecere, G., Spano, M., & De Marco, G. (2022). COVID-19 vaccine hesitancy: a survey in a population highly compliant to common vaccinations. Human Vaccines & Immunotherapeutics, 17(13), 3348–3354. DOI
Mattera, R., Misuraca, M., Scepi, G., & Spano, M. (2021). A mixed-frequency approach for exchange rates predictions. Electronic Journal of Applied Statistical Analysis, 14(1), 230–253.
Misuraca, M., Scepi, G., & Spano, M. (2021). Using Opinion Mining as an educational analytic: an integrated strategy for the analysis of students’ feedback. Studies in Educational Evaluation, 68, 100979.
Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of Social Indicators Research. Social Indicators Research, 149(3), 803–831.
Misuraca, M., Scepi, G., & Spano, M. (2020). A network-based concept extraction for managing customer requests in a social media care context. International Journal of Information Management, 51, 101956.
Misuraca, M., Scepi, G., & Spano, M. (2020). A bibliometric study on the evolution of Conjoint Analysis in 1998–2017. Italian Journal of Applied Statistics, 32(1), 9–27.
Matano, F., Caccavale, M., Esposito, G., Fortelli, A., Scepi, G., Spano, M., & Sacchi, M. (2020). Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data. Earth System Science Data, 12, 321–344. DOI
Misuraca, M., Spano, M., & Balbi, S. (2019). BMS: an improved Dunn index for Document Clustering validation. Communications in Statistics — Theory and Methods, 48(20), 5036–5049.
Balbi, S., Misuraca, M., & Spano, M. (2017). A joint analysis of heterogeneous information on Italian listed firms. Italian Journal of Applied Statistics, 29(2–3), 257–272.
Dlova, N. C., Fabbrocini, G., Lauro, C., Spano, M., Tosti, A., & Hift, R. H. (2016). Quality of life in South African Black women with alopecia: a pilot study. International Journal of Dermatology, 55(8), 875–881. DOI
Ginesti, G., Macchioni, R., Sannino, G., & Spano, M. (2013). The Impact of IASB’s Guidelines for Preparing Management Commentary: Evidence from Italian Listed Firms. Journal of Modern Accounting and Auditing, 9(3), 305–320.
Books
- Cuccurullo, C., Aria, M., Spano, M., & D’Aniello, L. (2023). Leading Change in Academic Health Science Centers. Zaccaria srl, 1–124.
Book Chapters
Cozzucoli, L. A., Misuraca, M., & Spano, M. (2026). Evaluating the Impact of Government Orientation on the Adoption of AI in Business: A Causal Inference Study. In F. Greco, A. Fronzetti Colladon, P. A. Gloor (Eds.), Artificial Intelligence and Networks for a Sustainable Future: Connecting Species, Springer, Cham. [in press]
Spano, M., Misuraca, M., & Celardo, L. (2025). From Vectors to Networks: Comparing Conventional and Graph-Based Approaches to Unsupervised Text Categorisation. In A. D’Ambrosio et al. (Eds.), Supervised and Unsupervised Statistical Data Analysis, Springer, Cham, pp. 304–315.
De Mascellis, A. M., Misuraca, M., Scepi, G., & Spano, M. (2025). An automatic framing approach to analyse newspaper and press language. In XXX (Eds.), Data Science and Social Research IV, Springer, Cham. [in press]
Misuraca, M., Scepi, G., & Spano, M. (2023). Network-based dimensionality reduction for textual datasets. In E. Brentari, M. Chiodi, E.-J. C. Wit (Eds.), Models for Data Analysis, Springer, Cham, pp. 175–190.
Misuraca, M., & Spano, M. (2020). Unsupervised analytic strategies to explore large document collections. In D. F. Iezzi, D. Mayaffre, M. Misuraca (Eds.), Text Analytics. Advances and Challenges, Springer, Heidelberg, pp. 17–28.
Stawinoga, A., Spano, M., & Triunfo, N. (2016). Extracting meta-information by using Network Analysis tools. In G. Alleva, A. Giommi (Eds.), Studies in Theoretical and Applied Statistics, Springer, pp. 101–109. DOI
Conference Proceedings
Aria, M., Cuccurullo, C., D’Aniello, L., Spano, M., & Alabiso, C. (2025). From data collection to knowledge in health: Turning scientific production into practical decision-making tools. In G. Boccuzzo et al. (Eds.), IES 2025 – Statistics and Data Science for Evaluation and Quality, Cleup, Padova. ISBN: 978-88-5495-849-4.
Gnasso, A., Sacco, D., Celardo, L., Smecca, M. A., Alabiso, C., & Spano, M. (2025). Research excellence and patient perception: investigating the impact of AHSCs’ scientific output. In G. Boccuzzo et al. (Eds.), IES 2025, Cleup, Padova. ISBN: 978-88-5495-849-4.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2025). Keyword-enhanced summarization from scientific literature through an integrated approach. In L. S. Alaimo et al. (Eds.), ASA 2024 – Statistics, Technology and Data Science for Economic and Social Development, Firenze University Press, pp. 37–43. DOI
Belfiore, A., Spano, M., Cuccurullo, C., & Giordano, W. (2024). Beyond Text: Unveiling Corporate Communication Strategies Through Textual Analysis of CEO Letters. In A. Dister, D. Longrée (Eds.), JADT24, Presses Universitaires De Louvain, Vol. 1, pp. 69–78. ISBN: 978-2-39061-471-5.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2024). Breaking barriers with TALL: a text analysis Shiny app for all. In A. Dister, D. Longrée (Eds.), JADT24, Presses Universitaires De Louvain, Vol. 1, pp. 39–48. ISBN: 978-2-39061-471-5.
Celardo, L., Misuraca, M., & Spano, M. (2024). See Naples, then dye: Spatial Categorisation of Tourist Attractions with Reviews’ Sentiment Scores. In A. Dister, D. Longrée (Eds.), JADT24, Presses Universitaires De Louvain, Vol. 1, pp. 189–198. ISBN: 978-2-39061-471-5.
D’Aniello, L., Aria, M., Cuccurullo, C., Misuraca, M., & Spano, M. (2024). Extracting knowledge from scientific literature with an integrated text summarization approach. In A. Dister, D. Longrée (Eds.), JADT24, Presses Universitaires De Louvain, Vol. 1, pp. 239–248. ISBN: 978-2-39061-471-5.
Costanzo, G. D., Dattilo, B., Di Torrice, M., Misuraca, M., & Spano, M. (2024). Measuring Sustainability in Tourism via a Multi-Criteria Decision Making approach. In A. Pollice, P. Mariani (Eds.), SIS 2024, Springer Nature, pp. 513–518.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2024). TALL: A new Shiny app for Text Analysis. In A. Pollice, P. Mariani (Eds.), SIS 2024, Springer Nature, pp. 64–70.
Celardo, L., Misuraca, M., & Spano, M. (2024). Spatial sentiment analysis of tourist points of interest. In AIQUAV 2023, UniBa, pp. 1–6.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2023). TAll: a new Shiny app of Text Analysis for All. In F. Boschetti et al. (Eds.), CLiC-it 2023, CEUR Workshop Proceedings, Vol. 3596, pp. 1–4.
Celardo, L., Misuraca, M., & Spano, M. (2023). Georeferencing sentiment scores to map and explore tourist points of interest. In R. Martínez-Torres, S. Toral (Eds.), CARMA 2023, Editorial UPV, pp. 115–122.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2022). Text Summarization of a scientific document: a comparison of extractive unsupervised methods. In M. Misuraca, G. Scepi, M. Spano (Eds.), JADT2022, VADISTAT Press, Napoli, pp. 67–73.
Cobo, M. J., & Spano, M. (2022). An automatic approach for bibliographical co-words networks labelling. In SIS 2022, Pearson, pp. 773–779.
Basile, V., Misuraca, M., & Spano, M. (2022). Thematic analysis on online education issues during COVID-19. In SIS 2022, Pearson, pp. 437–445.
Belfiore, A., Spano, M., Mandenaki, K., & Giordano, W. (2022). Exploring companies’ communication strategies in the Covid-19 era. In M. Misuraca, G. Scepi, M. Spano (Eds.), JADT2022, VADISTAT Press, Napoli.
Ferracci, M., Scepi, G., Spano, M., & Misuraca, M. (2022). Nodi discorsivi e processi di progettazione condivisa: Milano e Torino. In M. Misuraca, G. Scepi, M. Spano (Eds.), JADT2022, VADISTAT Press, Napoli, pp. 400–407.
Mattera, R., Misuraca, M., Scepi, G., & Spano, M. (2022). Clustering of financial time series: a bibliometric analysis. In M. Misuraca, G. Scepi, M. Spano (Eds.), JADT2022, VADISTAT Press, Napoli, pp. 584–590.
Aria, M., Cuccurullo, C., D’Aniello, L., & Spano, M. (2022). Thematic evolution of Academic Medical Centers’ research: a focus on Italian public owned AOUs in metropolitan areas. In IES 2022, Vol. 1, pp. 67–72. ISBN: 978-88-94593-35-8.
Cuccurullo, C., D’Aniello, L., Aria, M., & Spano, M. (2021). Measuring the impact of healthcare indicators on academic medical centers’ scientific production. In ASA 2021, Firenze University Press, Vol. 132, pp. 160–165.
Cuccurullo, C., D’Aniello, L., & Spano, M. (2021). Thematic atlas of Italian oncological research: the analysis of public IRCCS. In ASA 2021, Firenze University Press, Vol. 127, pp. 109–114. DOI
Misuraca, M., Scepi, G., & Spano, M. (2021). A comparative study on community detection and clustering algorithms for text categorisation. In JADT2020 [online].
Carannante, M., Mattera, R., Scepi, G., Misuraca, M., & Spano, M. (2020). Nowcasting GDP using mixed-frequency based composite confidence indicators. In SIS 2020, Pearson, pp. 981–986.
Forciniti, A., Misuraca, M., Scepi, G., & Spano, M. (2019). Generalized Procrustes Analysis for Multilingual Studies. In SIS 2019, Pearson, pp. 879–884.
Scepi, G., Misuraca, M., Spano, M., Carannante, M., & Mattera, R. (2019). Temporal sentiment analysis with distributed lag models. In SIS 2019, Pearson, pp. 149–156.
Misuraca, M., Scepi, G., & Spano, M. (2018). A network approach to dimensionality reduction in Text Mining. In SIS 2018, Pearson, pp. 344–351.
Balbi, S., Misuraca, M., & Spano, M. (2018). A two-step strategy for improving categorisation of short texts. In JADT2018, UniversItalia, Roma, Vol. 1, pp. 60–67.
Balbi, S., Misuraca, M., & Spano, M. (2016). A cosine-based validation index for Document Clustering. In JADT2016, Presses Fac Imprimeur, Nice, Vol. 1, pp. 65–74.
Misuraca, M., & Spano, M. (2013). Comparing text clustering algorithms from a multivariate perspective. In CLADAG 2013, CLEUP, Padova, pp. 331–334.
Stawinoga, A., Spano, M., & Triunfo, N. (2012). Extracting meta-information by using Network Analysis tools. In 46th SIS Meeting, Roma (invited session). ISBN: 978-88-6129-882-8.
Ginesti, G., Maffei, M., Spano, M., & Triunfo, N. (2012). A textual processing approach for analysing the narrative disclosures in corporate reports. AMIS 2012. ISSN: 2247-6245.
Spano, M., & Triunfo, N. (2012). La relazione sulla gestione delle società italiane quotate sul mercato regolamentato. JADT 2012. ISBN: 978-2-9601246-0-6.
Technical Reports & Software
Misuraca, M., Forciniti, A., Scepi, G., & Spano, M. (2020). Sentiment Analysis for Education with R: packages, methods and practical applications. arXiv:2005.12840. arXiv
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2023). TALL: Text Analysis for All — R/Shiny application. CRAN. cran.r-project.org/package=tall
From Conference
I regularly participate in national and international conferences on text mining, data science, and statistical analysis of textual data. Since 2024 I am a permanent member of the Scientific Committee of JADT. In 2022, I co-chaired the 16th JADT International Conference held in Naples.
