1,721,002 research outputs found
Invited Speech: Data Analytics and (Interpretable) Machine Learning for Social Good
No full textIn recent years, in all contexts of our lives, we have seen a real explosion of data. From a research standpoint, data processing needs have increasingly become common in an ever growing number of applications, with potential benefits not only in our work but also in our lives: the need not just to acquire, store and perform modest operational tasks but also to analyze and properly interpret data. In this talk, we consider some of the hottest and most demanding scenarios in our daily lives, which include: medical analytics to improve the quality of life of the elderly and reduce health care expenses; social network analytics for enhancing cultural heritage dissemination; exploration of work datafication potential in improving the management of human resources (HRM); game analytics to foster Computational Thinking in education. We describe the recent findings we have obtained in our research in these contexts using the latest technology for data analytics, including interpretable machine learning, and discuss the consequences and directions for the future
Let the Games Speak by Themselves: Towards Game Features Discovery Through Data-Driven Analysis and Explainable AI
No full textThe idea behind this work is to start exploring the application of data analytics and (explainable) machine learning techniques to better understand games and discover new features that will possibly help in effectively exploiting them in different socially useful domains. We prove the feasibility of the idea by: (i) collecting a large dataset of board game information; (ii) designing and testing an information processing pipeline for automatically discovering game categories and game mechanics, with some first encouraging results. In the future, we plan to further generalize this approach for different kinds of games and for discovering currently unknown but useful aspects, e.g. games or game features that could better foster Computational Thinking in education, those better suited to be applied in social distancing contexts, and so on
An Intelligent Dashboard for Assisted Tweet Composition in the Cultural Heritage Area (Work-in-progress)
No full textCultural Heritage institutions are nowadays using social media to communicate with citizens and tourists. However, providing actual effective communication is not an easy task, as every day millions of messages are posted through social media. Thus, getting visibility is not trivial. In this paper we present the architecture of a dashboard, accessible by mobile Android devices, to support museum social media managers in composing effective tweets by providing suggestions to improve message drafts. At this aim, the application exploits machine learning techniques over data related to tweets posted by museums in the past
A Novel Graph-Based Approach to Identify Opinion Leaders in Twitter
No full textThis study explores the influence of social media on health-related discourse amid the COVID-19 pandemic, focusing on Italian-language tweets posted on Twitter from March 2020 to December 2021. Analyzing a dataset comprising 13 million tweets, the research addresses three key questions: who emerged as opinion leaders on Twitter during the pandemic in Italy?; did health institutions in Italy successfully establish themselves as opinion leaders?; and how did the content of COVID-19-related tweets in Italy evolve over time? Employing a custom-designed graph and the personalized PageRank algorithm, the study identifies opinion leaders on Twitter. Additionally, psycholinguistic analysis provides insights into the content, themes, and emotional undertones of the tweets. The findings of this research contribute to a deeper understanding of social media's influence on public opinion and behavior during the pandemic. Furthermore, they offer valuable insights for public health officials and policymakers seeking to address health-related issues on social media platforms
On Designing a Time Sensitive Interaction Graph to Identify Twitter Opinion Leaders
Full text linkWhat happened on social media during the recent pandemic? Who was the opinion leader of the conversations? Who influenced whom? Were they medical doctors, ordinary people, scientific experts? Did health institutions play an important role in informing and updating citizens? Identifying opinion leaders within social platforms is of particular importance and, in this paper, we introduce the idea of a time sensitive interaction graph to identify opinion leaders within Twitter conversations. To evaluate our proposal, we focused on all the tweets posted on Twitter in the period 2020-21 and we considered just the ones that were Italian-written and were related to COVID-19. After mapping these tweets into the graph, we applied the PageRank algorithm to extract the opinion leaders of these conversations. Results show that our approach is effective in identifying opinion leaders and therefore it might be used to monitor the role that specific accounts (i.e., health authorities, politicians, city administrators) have within specific conversations
InstaCircos: A Web Application for Fast and Interactive Circular Visualization of Large Genomic Data (Work in Progress)
No full textOne of the most effective visualizations for genomics data is the circular one, supported by popular packages and visualization suites. Many tools are available, however most of them share a number of negative points including limited ease of installation/usage, slow performance and memory limitations (making them unfeasible for very large genomes such as the human one) and non interactivity. In this paper we present the ongoing work on InstaCircos, a web application born from the scientific collaboration between Big Data Analytics and Bioinformatics researchers and aiming at overcoming the available tools' limitations. It provides advanced visualization features through an easy to use web interface and offers interactive functionalities and near real-Time performances thanks to an integrated big data management back-end based on MongoDB
A tool for semiautomatic cataloguing of an islamic digital library: a use case from the Digital Maktaba project (short paper)
Full text link
SUNRISE: Exploring PDMS Networks with Semantic Routing Indexes
No full textWe demonstrate SUNRISE (System for Unified Network Routing, Indexing and Semantic Exploration), a complete infrastructure supporting the construction of a PDMS semantic layer and providing a series of techniques that can be used for an effective and efficient exploration of a semantic network, for instance in a query answering setting
Employee attitudes and (Digital) collaboration data: a preliminary analysis in the HRM field
Full text linkThe digital transformation of organizations is making workplace collaboration more and more powerful and work always "observable"; however, the informational and managerial potential of the generated data is still largely unutilized in Human Resource Management (HRM). Our research, conducted in collaboration with business engineers and economists, aims at exploring the relationship between digital work behaviors and employee attitudes. This paper is a work-in-progress contribution that presents a preliminary phase of data analysis we performed on a collection of Enterprise Collaboration Software (ECS) data. In the exploratory data analysis step, we analyze data in their original table format and elaborate it according to the user who performed the action and the performed action. Then, we move to a graph representation in order to make explicit the interaction between users and the objects of their actions. Finally, we introduce the concept of employee-attitude-oriented pattern as a mean to derive significant views over the overall graph and discuss Social Network Analysis (SNA) approaches that can be exploited for our purposes
- …
