Search results for "Network Analysi"
showing 10 items of 243 documents
Uso de indicadores bibliométricos para el análisis de temas emergentes y su evolución: spin-offs como caso de estudio
2018
[ES] Las spin-offs constituyen una de las áreas de investigación más atractivas, ya que están asociadas con fenómenos como el emprendimiento, la innovación y la transferencia del conocimiento. El presente estudio muestra que la selección y el uso de indicadores bibliométricos permite identificar y caracterizar el desarrollo y la difusión de temas de investigación emergentes como el analizado. Los principales aspectos observados en relación con el desarrollo de la investigación sobre las spin-offs son que se produce un auge en el número de publicaciones después de un largo período de latencia y la marcada naturaleza multidisciplinar del área. El presente enfoque ha analizado la evolución de …
Sequencing toponymic change: A quantitative longitudinal analysis of street renaming in Sibiu, Romania.
2021
Recent scholarship in critical toponymy studies has refashioned the understanding of street names from innocent labels to nominal loci of historical memory and vectors of collective identity that are embroiled with power relations. Urban nomenclatures consist of more than mere linguistic signposts deployed onto space to facilitate navigation. Street names are also powerful signposts that indicate the political regime and its socio-cultural values. Drawing on these theoretical insights, this paper is focused on Sibiu (Romania) and explore the city’s shifting namescape in a longitudinal perspective spanning one century and a half of modern history (1875–2020). The analysis is based on a compl…
Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis
2014
Abstract Background Research collaboration contributes to the advancement of knowledge by exploiting the results of scientific efforts more efficiently, but the global patterns of collaboration on meta-analysis are unknown. The purpose of this research was to describe and characterize the global collaborative patterns in meta-analyses of randomized trials published in high impact factor medical journals over the past three decades. Methods This was a cross-sectional, social network analysis. We searched PubMed for relevant meta-analyses of randomized trials published up to December 2012. We selected meta-analyses (including at least randomized trials as primary evidence source) published in…
Multi-scale analysis of the European airspace using network community detection
2014
We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspaces and improve it by guiding the design of new ones. Specifically, we compare the performance of three community detection algorithms, also by using a null model which t…
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia
2020
Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement agencies. Herein, we borrow methods and tools from Social Network Analysis to (i) unveil the structure of Sicilian Mafia gangs, based on two real-world datasets, and (ii) gain insights as to how to efficiently disrupt them. Mafia networks have peculiar features, due to the links distribution and strength, which makes them very different from other social networks, and extremely robust to exogenous perturbations. Analysts are also faced with the difficulty in collecting reliable datasets that accurately describe the…
Il rosso e il nero: la popular music italiana di destra e di sinistra su Facebook
2021
L’Italia ha conosciuto una lunga e importante tradizione di militanza politica, che oggi è proposta anche attraverso i nuovi media. Nel capitolo analizziamo, attraverso la social network analysis, le reti d’interazione su Facebook delle pagine di cantanti e musicisti italiani riconducibili alle aree ideologiche di destra e di sinistra. L’analisi di rete è andata apparentandosi con quello che, in sociologia, viene definito “approccio istituzionalista” all’analisi culturale, da cui prendiamo spunto. Vengono descritte le caratteristiche strutturali del “dominio culturale digitale” di destra e di sinistra, s’individuano gli attori, i gruppi e le organizzazioni più influenti, e vengono messi in …
Interdependence between Green Financial Instruments and Major Conventional Assets: A Wavelet-Based Network Analysis
2021
This paper examines the interdependence between green financial instruments, represented by green bonds and green stocks, and a set of major conventional assets, such as Treasury, investment-grade and high-yield corporate bonds, general stocks, crude oil, and gold. To that end, a novel wavelet-based network approach that allows for assessing the degree of interconnection between green financial products and traditional asset classes across different investment horizons is applied. The empirical results show that green bonds are tightly linked to Treasury and investment-grade corporate bonds, while green stocks are strongly tied to general stocks, regardless of the specific time period and i…
Factorial graphical models for dynamic networks
2015
AbstractDynamic network models describe many important scientific processes, from cell biology and epidemiology to sociology and finance. Estimating dynamic networks from noisy time series data is a difficult task since the number of components involved in the system is very large. As a result, the number of parameters to be estimated is typically larger than the number of observations. However, a characteristic of many real life networks is that they are sparse. For example, the molecular structure of genes make interactions with other components a highly-structured and, therefore, a sparse process. Until now, the literature has focused on static networks, which lack specific temporal inte…
A pre-processing and network analysis of GPS tracking data
2020
Global Positioning System (GPS) devices afford the opportunity to collect accurate data on unit movements from temporal and spatial perspectives. With a special focus on GPS technology in travel surveys, this paper proposes: (1) two algorithms for the pre-processing of GPS data in order to deal with outlier identification and missing data imputation; (2) a clustering approach to recover the main points of interest from GPS trajectories; and (3) a weighted-directed network, which incorporates the most relevant characteristics of the GPS trajectories at an aggregate level. A simulation study shows the goodness-of-fit of the imputation data algorithm and the robustness of the clustering algori…
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…