569 research outputs found
Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems
GraphDBLP: a system for analysing networks of computer scientists through graph databases
This paper presents GraphDBLP, a system that models the DBLP bibliography as a graph database for performing graph-based queries and social network analyses. GraphDBLP also enriches the DBLP data through semantic keyword similarities computed via word-embedding. In this paper, we discuss how the system was formalized as a multi-graph, and how similarity relations were identified through word2vec. We also provide three meaningful queries for exploring the DBLP community to (i) investigate author profiles by analysing their publication records; (ii) identify the most prolific authors on a given topic, and (iii) perform social network analyses over the whole community. To date, GraphDBLP contains 5+ million nodes and 24+ million relationships, enabling users to explore the DBLP data by referencing more than 3.3 million publications, 1.7 million authors, and more than 5 thousand publication venues. Through the use of word-embedding, more than 7.5 thousand keywords and related similarity values were collected. GraphDBLP was implemented on top of the Neo4j graph database. The whole dataset and the source code are publicly available to foster the improvement of GraphDBLP in the whole computer science community
Mirko Breyer, Publisher from Križevci
U tekstu se donosi kratak prikaz života i djela križevačkog nakladnika Mirka Breyera. Mirko Breyer bio je pr\>ak hrvatske bibliografije, bibliofil, knjižar-nakladnik i antikvar. Obilježio je početak dvadesetog stoljeća svojim kulturnim radom. Autor donosi dio objavljene i dio neobjavljene građe o Mirku Breyeru.The text is a short overview of the life and work of a Križevci publisher Mirko Breyer. Mirko Breyer was a pioneer of Croation bibliography, a bibliophile, bookseller, publisher and antiquarian. He marked the beginning of the 20th century with his cultural work. The author presents parts of published as well as unpublished material on Mirko Breyer, with his bibliography
A probabilistic spatio-temporal neural network to forecast COVID-19 counts
Geo-referenced and temporal data are becoming more and more ubiquitous in a wide range of fields such as medicine and economics. Particularly in the realm of medical research, spatio-temporal data play a pivotal role in tracking and understanding the spread and dynamics of diseases, enabling researchers to predict outbreaks, identify hot spots, and formulate effective intervention strategies. To forecast these types of data we propose a Probabilistic Spatio-Temporal Neural Network that (1) estimates, with computational efficiency, models with spatial and temporal components; and (2) combines the flexibility of a Neural Network-which is free from distributional assumptions-with the uncertainty quantification of probabilistic models. Our architecture is compared with the established INLA method, as well as with other baseline models, on COVID-19 data from Italian regions. Our empirical analysis demonstrates the superior predictive effectiveness of our method across multiple temporal ranges and offers insights for shaping targeted health interventions and strategies
The Italian E-Government Plans: Experiences in the Job Marketplace and in Statistical Information Systems
GraphDBLP Released: Querying the Computer Scientists Network as a Graph
In this paper we introduce GraphDBLP, a tool that models the DBLP bibliography as a graph, and enriches the DBLP data through semantic keyword similarities computed via word-embedding. GraphDBLP has been implemented on top of the Neo4j graph-database, and it can be queried through the Cypher query language. We also provide three meaningful queries for exploring the DBLP community to (i) investigate author profiles by analysing their publication records; (ii) identify the most prolific authors on a given topic,and (iii) perform social network analyses over the whole community. GraphDBLP is available on Github. To date, it contains 5+ million nodes and 24+ million relationships, enabling users to explore the DBLP data by referencing more than 3.3 million publications, 1.7 million authors and more than 5 thousand publication venues. Thanks to the use of word-embedding, more than 7.5 thousand keywords and related similarity values were collected
A Solution to Knowledge Management in Information-Based Services Based on Coopetition, A Case Study Concerning Work Market Services
Professor Mirko Škampa - personality portrait
Bakalářská práce se zabývá osobností Mirko Škampy. Obsahuje stručný životopis, přehled jeho nejvýznamnějších absolventů a osobní rozhovor s pedagogem. Velkou část práce autor věnuje analýze některých cvičení z jeho metodické publikace – Škola hry na violoncello.The goal of the thesis is to present the personality of Mirko Škampa. It includes a brief biography, an overview of his most famous graduates and an personal interveiw with professor Škampa. The author of this thesis devotes its great part to analyse of some exercises from his methodics – School of cello playing for kids
Professor Mirko Bagaric, 2019
Leading sentencing and criminal justice scholar, Professor Mirko Bagaric, has been appointed as the new Dean of Swinburne Law School, where he has been Director of Research for three years.
Professor Bagaric brings vast experience to the role. He was Dean of Law at Deakin University from 2003 to 2006 and 2012 to 2015. He has been a practicing lawyer for 20 years, and is a prolific author and media commentator.
Photograph originally appeared in the Media Centre Release, 'Leading criminal justice scholar appointed new Dean of Swinburne Law School' on Monday 02 December 2019
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