Search results for " Informatica"
showing 10 items of 978 documents
Rilevazione della simmetria e preferenze cognitive - un Algoritmo basato su un Modello Fisico
2007
La rilevazione della simmetria è una di quelle attività che gli esseri umani compiono con estrema precisione ed apparentemente senza un grande sforzo computazionale - non a caso in visione umana la simmetria è una dei caratteristici elementi pop-out, mentre le simulazioni artificiali sembrano arrancare e confondersi ad ogni piccolo ostacolo. L’evoluzione ha dotato la nostra specie di meccanismi a basso livello per la rilevazione di oggetti che presentano forti simmetrie verticali, e lo ha fatto con ottime ragioni: nel periodo pre-civilizzato, riconoscere un volto, l’oggetto verticalmente simmetrico per antonomasia, era sinonimo di socialità quando esso era umano ed amico, e, se animale, rap…
Clouds Simulation and Rendering
2010
Designing Cognitive Cities
2019
The following text intends to give an introduction into some of the basic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets a…
Studying micro-communities in Facebook Communities
2018
In the visionary view of the future Internet, named the Next Generation Internet, a current idea is to have a user-centric approach where human behavior models will be used to define the networks or to manage services. During the last years, a great trend in current Social Media platforms is to offer the opportunity to establish and join groups of people online. Despite human behaviour in current Online Social Media have been studied in depth, characteristics of these aggregations of people in content-based communities are still unknown. In this paper, we propose an evaluation of micro-communities of users inside the big network of Facebook groups to understand how and when users are active…
Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks
2020
We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the On-line Social Network. Profile matching between users and brands is considered based on bag-of-words representation of textual contents coming from the social media, and measures such as the Term Frequency-Inverse Document Frequency are used in order to characterize the importance of words in the comparison. The approach has been implemented relying on Big Data Technologies, allowing this way the efficient analysis of very large Online Social Networks. Resul…
Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
2021
Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with multiple subsystems and layers of connectivity. These kind of networks are usually called multilayer networks. Multilayer networks in which each layer shares at least one node with some other layer in the network are called multiplex networks. Being a multiplex network does not require all nodes to exist on every layer. In this paper, we built a criminal multiplex network which concerns an anti-mafia operation called “Montagna” and it is based on the examination of a pre-trial detention order issued on March 14, 2007 by the judge for preliminary investigations of t…
Correlations among Game of Thieves and other centrality measures in complex networks
2021
Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue can be overcome by an algorithm called Game of Thieves (GoT). Thanks to this new algorithm, we can compute the importance of all elements in a network (i.e. vertices and edges), compared to the total number of vertices. This calculation is done not in…
Fuzziness and social life: Informal notions, formal definitions
2012
A clear bidirectional path exists between everyday social and cultural life and the formal notions of uncertainty. If in recent times there has been a resurgence of the contribution of the formal notions of fuzziness and vagueness to disciplines such as aesthetics, medicine and more generally humanities, it is also true that concepts and phenomena from everyday reality are continually and usefully reused in order to build formal definitions that are more akin to the essence of things. In this paper, some notions connected with the handling of uncertainty, and particularly with FST, are outlined with the aim of benefitting the spontaneous emergence of new paths toward an unified theory of un…
Towards a fuzzy-linguistic based social network sentiment-expression system
2015
Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.
Early usage of Pokémon Go and its personality correlates
2017
Pokmon Go is a popular augmented reality mobile game. Players find imaginary creatures by wandering into the real world, which can then be collected and used in combat. In this paper an assessment of Pokmon Go early usage in the Italian community and of its correlates with the Big Five personality traits is given. The resulting profile of early PG player is one of a more Introverted, close person with high agreeability and conscientiousness. Extraversion and Stability are positively correlated with the collection part of the game, while Agreeableness is a negative predictor thereof. Openness is correlated to the level of proficiency. Display Omitted We assess Pokmon Go early usage and its c…