@inproceedings{2e1e1dcc955b4ba48f72363ce4d77c8e,
title = "Multidimensional Network Analysis to Predict Correlations Between Offline and Online Interactions",
abstract = "Community detection inside networks represents an area which has gained a paramount importance in the last decade. With the massive spreading of online communications several attempts have been performed to investigate correlations between the “Real world” and social networks, both in terms number of connections between people and consistency of relationship. This research delves into the relations occurred on Facebook and Twitter which can be used as a proxy for the relations in offline social networks, such as networks of human face-to-face (F2F) proximity. The final aim is focused on discovering the most meaningful patterns that rule the hierarchy of bonds by means of the comparison of several algorithms widely recognized as effective for different applications, such a routing, link prediction, crimes and recently containment of virus outbreak.",
keywords = "Community discovery, Knowledge discovery, Network analysis",
author = "Lapo Chirici and Francesca Parotti and Yi Wang",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 10th International Workshop of Advanced Manufacturing and Automation, IWAMA 2020 ; Conference date: 12-10-2020 Through 13-10-2020",
year = "2021",
doi = "10.1007/978-981-33-6318-2\_71",
language = "English",
isbn = "9789813363175",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "569--578",
editor = "Yi Wang and Kristian Martinsen and Tao Yu and Kesheng Wang",
booktitle = "Advanced Manufacturing and Automation X",
address = "Germany",
}
