Relevant bibliographies by topics / Network analisi

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Network analisi'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Network analisi"

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Mawardi, Cholid. "Analisa Regulasi Network Sharing Berbasis Multi Operator Core Network (MOCN)." Jurnal Telekomunikasi dan Komputer 9, no. 3 (December 21, 2019): 141. http://dx.doi.org/10.22441/incomtech.v9i3.6667.

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Model kerja sama antar operator telekomunikasi sudah menjadi tren pada kondisi saat ini, selain menjadi bagian strategi untuk mengembangkan bisnisnya, juga menjadi solusi efisiensi pengeluaran operator. Kerja sama skema Multi Operator Core Network (MOCN) memiliki kemampuan berbagi spektrum dalam skema kerja samanya. Di beberapa negara, network sharing jenis MOCN sudah banyak diterapkan, di Malaysia dan Hongkong sejak tahun 2012 dan 2013 telah memakai jenis network sharing tersebut. Di Indonesia, pemerintah belum menetapkan regulasi yang sesuai serta memilki dampak bagi kesiapan operator bagi revenue yang akan diperoleh jika MOCN sudah memiliki regulasi.Metode Penelitian serta kajian yang dilakukan merujuk pada sistem Benchmarking pada negara yang sudah menerapkan regulasi baik MOCN maupun sistem Multi Operator Radio Access Network (MOCN). Kajian ini diperlukan untuk membandingkan apakah kondisi negara tersebut dari paramater jumah penduduk, penetration rate, hingga teknologi yang dipakai bisa juga diterapkan di negara Indonesia Dari hasil penelitian ini juga, dapat merekomendasikan MOCN pada penyelenggaraan di Indonesia dengan analisis benchmarking regulasi pada negara yang telah menerapkan MOCN, dengan keberhasilan negara yang sudah menerapkan MOCN maka akan menjadi peluang besar untuk negara Indonesia menerapkan MOCN dengan mengambil analisi terendah. Adapun analisis pangsa pasar dari data yang didapat dari operator, optimalisasi cakupan seluler dapat menjadi acuan dalam pelaksanaan MOCN demi pertumbuhan jaringan di daerah yang jarang penduduk dan mendukung pertumbuhan GDP serta pendapatan fiskal bagi negara.
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Rando-Cueto, Dolores, José Manuel Nuñez-Sánchez, Carmen Jambrino-Maldonado, Patricia P. Iglesias-Sánchez, and Carlos De las Heras-Pedrosa. "Bibliometric analysis and network mapping of the scientific literature on the influence of public relations on well-being and happiness." Anàlisi 67 (January 31, 2023): 65–86. http://dx.doi.org/10.5565/rev/analisi.3562.

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Managing employees’ happiness and well-being as a business strategy offers positive outcomes for companies, as has been widely studied in the scientific literature. In the field of public relations, published studies address these benefits for individuals and collectively, both for the employees themselves (Pérez, 2020) and for the organisation for which they work, whether intangible or tangible (Castro-Martínez and Díaz-Morilla, 2020; Sidney et al., 2017). However, the function of promoting a good working environment is not always attended to in the workplace, nor is it always exclusive to a specific area (Bowen, 2008). In addition to a systematic documentary review, the Web of Science database is used for a bibliometric study and network mapping of the scientific literature, from which articles are extracted for analysis using different bibliographic searches. Based on the information obtained, VOSviewer software is used for the analysis of bibliometric networks by authorship, citation and co-occurrence of keywords in scientific publications. The number of articles published on the management of happiness and wellbeing in organisations as part of their public relations has increased significantly over the last decade, although there has been a notable change in this growth since 2021. According to the research, corporate social responsibility programmes are increasingly considering these aspects as part of their organisational strategy, and departments such as human resources are taking on a greater role in generating a good working environment. This study provides an overview of the international production of scientific publications on the subject of happiness management and organisational well-being from the point of view of public relations. It shows the evolution of scientific activity in terms of the number of works published by area of knowledge and the current trends in terms of authorship, subject matter and repercussion in the scientific field.
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Ferrazza, Daniela, and Veronica Lo Presti. "La valutazione delle reti di partnership dei progetti di inserimento lavorativo per tossicodipendenti." RIV Rassegna Italiana di Valutazione, no. 42 (July 2009): 85–106. http://dx.doi.org/10.3280/riv2008-042006.

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- This article shows some highlights of a network evaluation, which was part of a bigger evaluation design of 5 local projects - implemented in Lazio region - for employment insertion for persons in a serious situation of social exclusion. Evaluation had followings main goals: - Network evaluation of local partnerships; - Morphological analysis of networks and their potential sustainability for the future. Evaluators used two techniques for data collection: an evaluation card and interviews to strategic witnesses. The first part of the article is dedicated to illustrate starting assumptions and detailed evaluation results of each project; in the second part general consideration are proposed about state of art of local social network and their potential development in the future.Key words: network analysis, employment insertion for persons in situation of social exclusionParole chiave: analisi delle reti, inserimento lavorativo di soggetti deboli
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Bianco, Gianni, and Pierluigi Cecati. "Costi di produzione ed erogazione di acqua potabile. Una proposta di analisi dell'efficienza." ECONOMIA PUBBLICA, no. 1 (April 2009): 79–116. http://dx.doi.org/10.3280/ep2008-001003.

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- Water will be a basic problem in the future of the world. At the moment in Italy the main problem lies in water reserve reductions facing a growing demand, while for drinkable water more and more administrator authorities are facing a budget deficit. The causes of this national and local situation are the administrative monopoly and the absence of planning and coordination policies, that would rationalize water use without rationing it, starting from an awareness of the costs of different involved variables. The economic quality of spring and consumption water, the oldness of the waterworks and pipe networks, the extreme fragmentation of waterworks (often of minimal dimension), their territorial localisation, the absence of a common method of charges, the scanty use of analysis of management, are some of the causes of a unique and surprising variability of costs, proceeds and tariffs. This paper analyzes the generation and the structure of the costs of drinkable water in an area representative of many national characteristics on the environmental, physic and socio-economic level. The quest for more efficient forms of management and for a more transparent determination of the tariffs has been carried on through the use of custom indexes of productivity and of production. These indexes summarise the existence of scale economies, of pipe network related diseconomies, and of economies of localisation and density of the consumers. The paper presents a synthesis of the observations gathered from about two hundred waterworks subdivided by owner and entrepreneurial typologies
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Erlicher, Arcadio, and Antonio Lora. "Conclusioni." Epidemiologia e psichiatria sociale. Monograph Supplement 11, S6 (December 2002): 74–75. http://dx.doi.org/10.1017/s1827433100000253.

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Il progetto ha rappresentato un notevole sforzo organizzativo, che ha coinvolto per un anno un ampio numero di DSM/UOP, di operatori e di pazienti.La ricerca ha dimostrato che, all'interno e tra i Dipartimenti di Salute Mentale:possibile costruire un network di ricerca,che possono essere utilizzati nella routine strumenti per la valutazione della gravità e dell'esito,possibile raccogliere ampi campioni di pazienti rappresentativi della realtà clinica dei servizi,gruppi di clinici possono collaborare tra loro per raccogliere dati sull'effective-ness e sui costi dei trattamenti.La possibilità di costruire un network di ricerca nei servizi clinici richiede uno sforzo organizzativo e ha un costo. Per fare questo sono necessari una struttura centrale in grado di dare supporto formativo, epidemiologico, informatico e di analisi, un sistema strutturato di incentivi scientifici e la restituzione agli operatori “in tempo reale” delle informazioni ricavate dalla ricerca.Questa ricerca ha portato ad una estesa conoscenza sulle caratteristiche sociodemografiche e cliniche (diagnosi e gravità) dei pazienti in trattamento nei servizi di salute mentale: il campione indagato è il più ampio oggi raccolto in Italia. La ricerca è anche stata la prima esperienza nazionale di stima dei costi per 50 strutture, con analisi dei costi standard delle singole prestazioni e del pattern di trattamento annuo e relativi costi.
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Colantonio, Claudia. "L’uso di Twitter da parte dei Ministeri della Salute nell’era COVID-19. Analisi delle strategie di creazione e innovazione lessicali." Textos, plataformas y dispositivos. Nuevas perspectivas para el análisis del discurso 9, no. 18 (November 8, 2022): 162–81. http://dx.doi.org/10.24137/raeic.9.18.8.

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La ricerca, che si colloca nel filone dell’analisi del discorso mediato dal computer (Pano Alamán y Moya Muñoz, 2016) e della pragmatica, si propone l’obiettivo di analizzare l’impatto dell’epidemia scatenata dal COVID-19 nel social network Twitter, con uno sguardo qualitativo o naturalista del fenomeno. L’analisi dei tweet prende in considerazione le strategie e le pratiche discorsive degli account dei Ministeri della Salute di cinque paesi (Cile, Colombia, Messico, Perù e Spagna) durante il 2022, mettendone a fuoco creazioni ed innovazioni lessicali, oltre agli hashtag. Il caso analizzato mostra la produttività della lingua spagnola che costantemente recepisce e produce materiale lessicale. //// This research, which belongs to the field of computer-mediated discourse analysis (Pano Alamán y Moya Muñoz 2016) and pragmatics, aims at analyzing the impact of COVID-19 on the social network Twitter. The methodology used has been based on an qualitative or naturalistic approach to this phenomenon. The analysis of the tweets takes into account the strategies and discursive practices of the accounts of the Ministries of Health of five countries (Chile, Colombia, Mexico, Peru and Spain) during 2022, with a focus on lexical creation and innovations and hashtags. The results of our analysis point to the Spanish language productiveness which constantly receives and produces lexical material.
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Fugalli, Livia. "Educare gli adolescenti ai social network. Una ricerca esplorativa su un campione di progetti nelle scuole italiane. Tendenze e modelli di analisi." Media Education 12, no. 1 (May 3, 2021): 17–32. http://dx.doi.org/10.36253/me-9799.

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The massive use of social networks by adolescents is a challenging phenomenon which created, in response to a range of psychological and social problems, the development of educational interventions aimed at making adolescents more aware, competent, and responsible. The research identifies and analyzes, on the basis of appropriate documentation, 22 educational projects having the aims and scope mentioned above, which took place in the last decade in several middle and high schools in Italy. Through a set of previously established criteria, an evaluation is carried out in order to describe the most widespread methods applied by such educational interventions. Based on the results, a method of analysis is built through critical comparison, aimed at examining the strengths and weaknesses of the examined projects and at guiding teachers, educators and other specialists in evaluating and designing further projects about the relationship between social networks and adolescents, inside and outside schools.
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Megawati, Megawati, Muliadi Muliadi, and Sudarto Sudarto. "Analisi Strategi Guru Kelas V dalam Pembelajaran IPA di Era Pandemi Covid-19 SD Gugus V Kecamatan Sibulue Kabupaten Bone." JPPSD: Jurnal Pendidikan dan Pembelajaran Sekolah Dasar 2, no. 1 (January 29, 2022): 111. http://dx.doi.org/10.26858/pjppsd.v2i1.27127.

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The problem in this study is to find out the learning strategies of fifth grade teachers in the era of the covid-19 pandemic in Elementary School cluster V, Sibulue District. This research is a type of descriptive qualitative research that aims to: 1) find out the strategies of fifth grade elementary school teachers in cluster V, Sibulue District, Bone Regency in learning science in the era of the covid-19 pandemic, 2). knowing the obstacles in implementing strategies in SD cluster V, Sibulue District, Bone in learning science in the era of the covid-19 pandemic. Data was collected by means of questionnaires and interviews. Data analysis techniques are data reduction, data display, conclusion drawing. The results of this study indicate that the strategies used by teachers in science learning are online and offline learning strategies. The teacher's obstacles during the implementation of learning strategies are not all students have cellphones, the quality of the internet network is weak, they do not have sufficient internet quota and there are differences in the character of each student.
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Jadhav, Pranavati, and Dr Burra Vijaya Babu. "Detection of Community within Social Networks with Diverse Features of Network Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 366–71. http://dx.doi.org/10.5373/jardcs/v11sp12/20193232.

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MARTA, AURADIAN, and Leo Agustino. "ANALISIS POLICY NETWORKS: UTILITAS DAN LIMITASI." Jurnal Agregasi : Aksi Reformasi Government dalam Demokrasi 7, no. 1 (July 4, 2019): 25–41. http://dx.doi.org/10.34010/agregasi.v7i1.1542.

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Permasalahan utama dalam tulisan ini adalah masih terdapat keraguan terhadap konsep policy network dalam studi kebijakan. Keraguan terhadap konsep ini pernah ditulis oleh Dowding dengan mempedebatkan policy networks sebagai Methapor atau Model. Untuk itu, artikel ditulis dengan tujuan untuk mendiskusikan perkembangan konsep policy network dan utilitas serta limitasi konsep tersebut dalam menjelaskan proses kebijakan. Policy networks pada prinsipnya merupakan sebuah studi yang berusaha menjelaskan relasi antar aktor dengan kepentingan dan sumber daya yang dimilikinya dengan tujuan untuk mempengaruhi proses kebijakan. Masing-masing aktor akan membawa kepentingan dan preferensi mereka dan terjadi tawar menawar antar aktor sehingga keterkaitan aktor tersebut membentuk tipologi policy networks. Lebih holistik lagi, utilitas policy networks diarahkan untuk agar mampu menjawab pertanyaan utama dalam studi network yakni bagaimana network itu mucul? Bagaimana network dapat tetap dan berubah? Bagaimana perubahan dalam network itu dapat terjadi? Sementara itu limitasi dari penggunaan konsep policy networks ini lebih pada tataran empirik yakni mempergunakannya dalam riset dengan kajian yang mendalam karena untuk melihat kompleksitas aktor, relasi antar aktor, dan kepentingannya tidaklah mudah dan sesederhana yang dipikirkan.
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Dissertations / Theses on the topic "Network analisi"

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Pettinari, Tommaso. "Analisi della dinamica su network." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24679/.

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Questa tesi si occupa di analizzare attraverso un approccio algebrico la dinamica di sistemi complessi descrivibili da network. Dopo aver definito concetti fondamentali per lo studio di un grafo, come la matrice di adiacenza e la matrice Laplaciana (e il relativo spettro), si mettono in relazione questi ultimi con le caratteristiche della dinamica degli elementi del sistema, in particolare per un tipo di dinamica diffusiva detto random walk. Di tale processo, considerato di rilevante importanza per via della sua applicabilità a numerosi fenomeni, se ne studiano l'esistenza e l'unicità delle soluzioni stazionarie e la risposta a perturbazioni dell'equilibrio. I tipi di perturbazioni studiate sono di due categorie: perturbazioni della dinamica degli elementi del sistema rispetto allo stato stazionario, in cui viene tuttavia mantenuta fissa la struttura del network, oppure perturbazioni strutturali del network stesso, in cui sono gli stessi collegamenti tra i nodi a subire una modifica. Attraverso alcune simulazioni numeriche vengono confermati sperimentalmente i principali risultati e, infine, si implementa un sistema di controllo basato su un algoritmo di adaptive learning capace di reagire a perturbazioni strutturali e riportare il sistema all'equilibrio originario.
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Bernini, Simone. "Analisi e gestione del protocol deadlock nelle network-on-chip." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1245/.

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CARPINETI, ANDREA. "Il personal network come intangibile strategico. Schema di analisi e misurazione." Doctoral thesis, Università Politecnica delle Marche, 2010. http://hdl.handle.net/11566/242213.

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Iuliano, Luca. "Analisi delle prestazioni di una rete neurale convoluzionale per la super-resolution di un'immagine." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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In questa tesi viene trattato il problema inverso della Super-Resolution di un’immagine singola (SISR), che consiste nel ricostruire un’immagine ad alta risoluzione a partire dalla conoscenza di una sua versione a bassa risoluzione, e vengono analizzate nel dettaglio tecniche di ricostruzione basate sul Deep-Learning. Oggi in molte applicazioni, la risoluzione delle immagini è diventata molto importante. Per esempio, nell’ambito della video-sorveglianza, una risoluzione più elevata nelle telecamere può consentire di vedere molti più dettagli, che potrebbero, ad esempio, facilitare un'indagine; altri settori in cui è utile avere immagini ad alta risoluzione sono l’ambito delle immagini mediche, per permettere chiare diagnosi, l’ambito delle immagini satellitari, l’ambito della microscopia, etc. Sfortunatamente, aumentare la risoluzione a livello di sensore richiede l'acquisto di nuove apparecchiature, il che potrebbe essere finanziariamente proibitivo. Per trovare soluzione a questo problema, sono state studiate in letteratura numerose tecniche per ricostruire immagini a più alta risoluzione, partendo da un’immagine a bassa risoluzione. In questa tesi, viene studiato e testato un metodo di SISR, noto in letteratura, che sfrutta tecniche Deep-Learning per la sua risoluzione. Dopo un’introduzione sull’architettura delle Reti Neurali Artificiali (ANN), si va nel dettaglio di quelle di tipo Convoluzionale (CNN) e si analizza una rete di riferimento della letteratura inerente a questo campo cioè la Rete SRCNN, per arrivare ad approfondire uno strumento più moderno ed efficace che ne supera i limiti, la Very-Deep Super-Resolution Network (VDSR). I risultati di ricostruzione ottenuti utilizzando la rete VDSR vengono confrontati, in termini di accuratezza, con quelli ottenuti mediante la tecnica di interpolazione bicubica, al variare dei fattori di scala.
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Bacco, Francesca <1989&gt. "Il ruolo del network nel processo imprenditoriale: analisi della fase di nascita dell'impresa." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/5816.

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Lo scopo del lavoro è indagare il ruolo del social network nelle prime fasi di sviluppo dell’idea imprenditoriale, in cui l’innovazione viene in essere, e in particolare il modo in cui questo capitale impatta sulle dinamiche che portano allo sviluppo dell’offerta dell’impresa. L'indagine viene svolta attraverso una revisione della letteratura esistente in materia e, successivamente, attraverso l'analisi qualitativa di due casi di studio di successo. In particolare, si analizzano i momenti critici che hanno portato allo sviluppo dell'idea imprenditoriale e la relazione tra tali momenti e la sviluppo del social network dell'impresa, in un'ottica di co-evoluzione.
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Monticelli, Luca. "Analisi vocale come strumento di diagnosi per COVID-19." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23022/.

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Attualmente i mezzi per ottenere diagnosi precoci di COVID-19 si rivelano inadeguati per ridurre il contagio del virus. Il COVID-19 è una malattia respiratoria e studi clinici dimostrano che altera il pattern normale di respirazione in maniera differente ad altre patologie come asma e raffreddore comune inoltre pazienti positivi al virus presentano suoni respiratori anormali dimostrando un legame fisico tra alterazione vocale e infezione di COVID-19. Diversi studi dimostrano che è possibile classificare e identificare queste alterazioni tramite l'analisi campioni acustici di tosse, voce e suoni respiratori. L'analisi vocale è uno strumento di diagnosi che viene già adoperato per l'individuazione di patologie come il morbo di Parkinson, l'apnea notturna ostruttiva e disturbi dello spettro autistico; L'obbiettivo di questo elaborato è dunque di valutare se esso possa costituire un metodo efficace nella diagnosi di COVID-19.
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Giannini, Andrea. "Social Network Analysis: Architettura Streaming Big Data di Raccolta e Analisi Dati da Twitter." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25378/.

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Negli ultimi anni i social media, come ad esempio Facebook, Twitter, WhatsApp, YouTube, si sono diffusi a macchia d'olio. Ormai quasi tutti accedono giornalmente su almeno uno di questi per informarsi, esprimere opinioni e interagire con altri utenti. Per questa ragione sono diventati fondamentali per i reparti marketing delle aziende essendo non solo un ottimo canale di comunicazione, ma anche una fonte di informazioni sui clienti e potenziali tali. La tesi si focalizza proprio su quest'ultimo aspetto. Il progetto Social Network Analysis (SNA) vuole essere infatti uno strumento attraverso il quale è possibile visionare e analizzare per intero le reti di interazione tra utenti. Ci si è posti l'obiettivo di realizzare SNA in modo che raccogliesse e si aggiornasse in tempo reale, così da essere sempre al passo con le ultime novità, data la dinamicità delle informazioni all'interno dei social media. Un progetto come SNA comporta dover affrontare diversi ostacoli. Oltre a quello di riuscire a realizzare un'architettura che accolga un flusso continuo di informazioni, uno degli ostacoli più importanti è quello di gestire la grande mole di dati. Per farlo ci si è affidati ad un'architettura distribuita e facilmente scalabile che comprende l'uso di elaborazioni in cluster, di funzioni serverless e di database NoSQL approvvigionati attraverso il servizio cloud di Microsoft, Azure. In questa tesi SNA è stato progettato e implementato basandosi su Twitter, ma è possibile sfruttare la stessa idea su tanti altri social media.
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Manfrin, Riccardo <1990&gt. "Analisi del rischio sistemico con un approccio di teoria dei network a frequenza multipla." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8095.

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Si propone un’analisi sul rischio sistemico europeo, prendendo in considerazione le principali 100 aziende del settore finanziario e le loro relazioni di interdipendenza. Per verificare queste connessioni si procede con l’applicazione della teoria di Network, le misure di connessione IN, OUT e INOUT. Il network di connessione è poi studiato con un approccio a diverse frequenze di rilevazione del network. Lo scopo è identificare la frequenza più rappresentativa dei fenomeni di contagio finanziario tra le aziende.
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Rosetti, Daniele. "Analisi di blockchain come reti complesse: Bitcoin ed Ethereum." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18476/.

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Le blockchain sono una tecnologia innovativa che ha destato interesse fin da subito, pur trovando utilizzo in alcuni campi, ancora non sono state capite appieno. Lo scopo del seguente documento è quello di effettuarne un'analisi per comprenderle meglio. Nei primi capitoli si esamineranno alcune delle loro caratteristiche e verranno fornite delle basi sui grafi. Successivamente verrà mostrato il progetto realizzato, composto da due parti. La prima si occupa della generazione di un grafo basato sulle transazioni delle blockchain e la seconda è incaricata della sua analisi. Infine verranno esaminati i risultati prodotti.
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CROBE, ALESSANDRA. "Reti complesse e analisi del segnale elettroencefalografico." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266683.

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The identification of subject-specific traits extracted from patterns of brain activity still represents an important challenge. The need to detect distinctive brain features, which is relevant for biometric and brain computer interface systems, has been also emphasized in monitoring the effect of clinical treatments and in evaluating the progression of brain disorders. Graph theory and network science tools have revealed fundamental mechanisms of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not clearly understood how several methodological aspects may bias the topology of the reconstructed functional networks. In this context, the literature shows inconsistency in the chosen length of the selected epochs, impeding a meaningful comparison between results from different studies. In this study we propose an approach which aims to investigate the existence of a distinctive functional core (sub-network) using an unbiased reconstruction of network topology. Brain signals from a public and freely available EEG dataset were analyzed using a phase synchronization based measure, minimum spanning tree and k-core decomposition. The analysis was performed for each classical brain rhythm separately. Furthermore, we aim to provide a network approach insensitive to the effects that epoch length has on functional connectivity (FC) and network reconstruction. Two different measures, the phase lag index (PLI) and the Amplitude Envelope Correlation (AEC), were applied to EEG resting-state recordings for a group of eighteen healthy volunteers. Weighted clustering coefficient (CCw), weighted characteristic path length (Lw) and minimum spanning tree (MST) parameters were computed to evaluate the network topology. The analysis was performed on both scalp and source-space data. Results about distinctive functional core, show highest classification rates from k-core decomposition in gamma (EER=0.130, AUC=0.943) and high beta (EER=0.172, AUC=0.905) frequency bands. Results from scalp analysis concerning the influence of epoch length, show a decrease in both mean PLI and AEC values with an increase in epoch length, with a tendency to stabilize at a length of 12 seconds for PLI and 6 seconds for AEC. Moreover, CCw and Lw show very similar behaviour, with metrics based on AEC more reliable in terms of stability. In general, MST parameters stabilize at short epoch lengths, particularly for MSTs based on PLI (1-6 seconds versus 4-8 seconds for AEC). At the source-level the results were even more reliable, with stability already at 1 second duration for PLI-based MSTs. Our results confirm that EEG analysis may represent an effective tool to identify subject-specific characteristics that may be of great impact for several bioengineering applications. Regarding epoch length, the present work suggests that both PLI and AEC depend on epoch length and that this has an impact on the reconstructed network topology, particularly at the scalp-level. Source-level MST topology is less sensitive to differences in epoch length, therefore enabling the comparison of brain network topology between different studies.
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Books on the topic "Network analisi"

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Poznanie, zbiorowość, polityka: Analiza teorii aktora-sieci Bruno Latoura. Kraków: Towarzystwo Autorów i Wydawców Prac Naukowych "Universitas", 2012.

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1963-, Salvini Andrea, and Conaldi G, eds. Analisi delle reti sociali: Teorie, metodi, applicazioni. Milano: F. Angeli, 2007.

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1963-, Salvini Andrea, and Conaldi G, eds. Analisi delle reti sociali: Teorie, metodi, applicazioni. Milano: F. Angeli, 2007.

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Peter, Buchholz. Grosse Netze der Logistik: Die Ergebnisse des Sonderforschungsbereichs 559. Berlin: Springer, 2009.

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Network optimization. London: Chapman & Hall, 1995.

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Ulrik, Brandes, and Erlebach Thomas, eds. Network analysis: Methodological foundations. Berlin: Springer, 2005.

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Dian li wang luo jie xi lun. Beijing: Ke xue chu ban she, 2008.

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Kulturhistorische Netzwerkanalyse: Am Beispiel des japanischen Tee-Meisters Kanamori Sôwa. Würzburg: Ergon Verlag, 2011.

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Škorić, Marko, and Valentina Sokolovska. Analiza socijalnih mreža. Novi Sad: Filozofski fakultet Novi Sad, 2011.

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1954-, Pardalos P. M., Hearn D. W, and Hager William W. 1948-, eds. Network optimization. Berlin: Springer, 1997.

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Book chapters on the topic "Network analisi"

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Cellerino, Alessandro, and Michele Sanguanini. "Network analysis." In Transcriptome Analysis, 99–119. Pisa: Scuola Normale Superiore, 2018. http://dx.doi.org/10.1007/978-88-7642-642-1_7.

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Brinkmeier, Michael, and Thomas Schank. "Network Statistics." In Network Analysis, 293–317. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_11.

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Baur, Michael, and Marc Benkert. "Network Comparison." In Network Analysis, 318–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_12.

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Baumann, Nadine, and Sebastian Stiller. "Network Models." In Network Analysis, 341–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_13.

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Lü, Jinhu, and Pei Wang. "Evolutionary Mechanisms of Network Motifs in PPI Networks." In Modeling and Analysis of Bio-molecular Networks, 295–313. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9144-0_6.

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Brandes, Ulrik, and Thomas Erlebach. "Introduction." In Network Analysis, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_1.

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Nunkesser, Marc, and Daniel Sawitzki. "Blockmodels." In Network Analysis, 253–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_10.

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Baltz, Andreas, and Lasse Kliemann. "Spectral Analysis." In Network Analysis, 373–416. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_14.

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Klau, Gunnar W., and René Weiskircher. "Robustness and Resilience." In Network Analysis, 417–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_15.

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Brandes, Ulrik, and Thomas Erlebach. "Fundamentals." In Network Analysis, 7–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_2.

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Conference papers on the topic "Network analisi"

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Corbisiero, Fabio, and Antonella Avolio. "Migrazioni e networks urbani." In International Conference Virtual City and Territory. Roma: Centre de Política de Sòl i Valoracions, 2014. http://dx.doi.org/10.5821/ctv.7987.

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Ripercorrendo l’ampio dibattito sul tema emerge quanto numerose siano le definizioni di integrazione elaborate dagli studiosi che si sono occupati di migrazioni. Soprattutto in anni più recenti, in forza dei rilevanti cambiamenti dei fenomeni migratori in atto, in molti concordano che questi processi sono aperti a molteplici esiti, in gran parte collegati a fattori di contesto politico, sociale, economico e culturale. Questi diversi fattori rappresentano altrettante dimensioni con cui si può guardare all’integrazione, che pertanto si configura come concetto multidimensionale, oltre che dinamico, e che può essere declinato a diversi livelli di analisi. Il livello relazionale (livello meso) rappresenta il punto di convergenza di fattori di integrazione macro e micro: i percorsi di inserimento urbano spesso dipendono dall’efficacia delle reti nelle quali si è inseriti. Questo contributo presenta i risultati di una ricerca condotta nel quartiere Mercato a Napoli, che ha avuto come oggetto di analisi l’integrazione della comunità cabardina, attraverso la metodologia e gli strumenti della Social Network Analysis. There are many definitions of integration developed by scholars of migration. They agree – especially in recent years, due to the significant changes in migration – that these processes are open to multiple outcomes, largely related political, social, economic and cultural factors. These different factors represent the different dimension which you can look to the integration; a term that appears as a multidimensional concept, as well as dynamic, and can be declined at different levels of analysis. The relational level (meso-level) represents the point of convergence between macro and micro factors of integration. In fact, the urban integration processes often depend on the effectiveness of their own social networks. This paper presents the results of a survey in the Mercato neighborhood (Naples). The aim is to analyze the integration of Kabardians community, through Social Network Analysis methods.
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Mehdizadeh, Nasser S., Payam Sinaei, and Ali L. Nichkoohi. "Modeling Jones’ Reduced Chemical Mechanism of Methane Combustion With Artificial Neural Network." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31186.

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The present work reports a way of using Artificial Neural Networks for modeling and integrating the governing chemical kinetics differential equations of Jones’ reduced chemical mechanism for methane combustion. The chemical mechanism is applicable to both diffusion and premixed laminar flames. A feed-forward multi-layer neural network is incorporated as neural network architecture. In order to find sets of input-output data, for adapting the neural network’s synaptic weights in the training phase, a thermochemical analysis is embedded to find the chemical species mole fractions. An analysis of computational performance along with a comparison between the neural network approach and other conventional methods, used to represent the chemistry, are presented and the ability of neural networks for representing a non-linear chemical system is illustrated.
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Melo, Renato Silva, and André Luís Vignatti. "Preprocessing Rules for Target Set Selection in Complex Networks." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/brasnam.2020.11167.

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In the Target Set Selection (TSS) problem, we want to find the minimum set of individuals in a network to spread information across the entire network. This problem is NP-hard, so find good strategies to deal with it, even for a particular case, is something of interest. We introduce preprocessing rules that allow reducing the size of the input without losing the optimality of the solution when the input graph is a complex network. Such type of network has a set of topological properties that commonly occurs in graphs that model real systems. We present computational experiments with real-world complex networks and synthetic power law graphs. Our strategies do particularly well on graphs with power law degree distribution, such as several real-world complex networks. Such rules provide a notable reduction in the size of the problem and, consequently, gains in scalability.
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Bursztyn, Victor S., Marcelo Granja Nunes, and Daniel R. Figueiredo. "How Congressmen Connect: Analyzing Voting and Donation Networks in the Brazilian Congress." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6451.

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The goal of this work is to analyze two of the most central activities in the life of a congressman: raising funds and voting bills. We investigate the Brazilian Congress to shed light on the relationships between the donations received by congressmen elected in 2014 and their voting behaviors during the year of 2015. We merged publicly available data obtained from the Brazilian House of Representatives and the Superior Electoral Court (TSE) in order to create a tripartite network containing campaign donors, elected congressmen, and legal bills. Using this data, we create two projected networks having congressmen as nodes and links given as follows: 1) congressmen who received donations from the same donors (donation network); and 2) congressmen who voted in accordance to each other on legal bills (voting network). After characterizing these networks, we propose three fundamental questions on the behavior of congressmen that could benefit from the methods and concepts provided by Network Science. Finally, we analyze the results and compare them to general domain knowledge.
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Ashraf, Bilal, Farbod Zorriassatine, R. M. Parkin, and Joanne Coy. "A Novel Approach for Extracting Sensor Information From Different Industrial Networks for Internet Based Condition Monitoring Applications." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58369.

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Automated Condition Monitoring (ACM) has become a necessity for complex modern day systems. The advent and ever increasing popularity of Internet has given a new dimension to ACM. Many Internet Based Condition Monitoring (IBCM) solutions have since been implemented. There are many types of Industrial Networks that are used in the industry to implement ACM. The protocols and information sent through these networks are very different from one another. Sharing information between industrial networks and presenting it for consolidated monitoring can be a daunting task. This paper describes a novel way for extracting sensor information from different industrial networks into a single standard format using Extensible Markup Language (XML). Implementation of the solution with an Industrial Network, Controller Area Network (CAN), is also shown. The results demonstrate that by using this approach communication between automated systems and mechatronic devices will become more integrated, more efficient and less complex.
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Brandão, Michele A., Matheus A. Diniz, and Mirella M. Moro. "Using Topological Properties to Measure the Strength of Co-authorship Ties." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6455.

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Studying the strength of ties in social networks allows to identify impact at micro-macro levels in the network, to analyze how distinct relationships play different roles, and so on. Indeed, the strength of ties has been investigated in many contexts with different goals. Here, we aim to address the problem of measuring ties strength in co-authorship social networks. Specifically, we present four case studies detailing problems with current metrics and propose a new one. Then, we build a co-authorship social network by using a real digital library and identify how the strength of ties relates to the quality of publication venues when measured by different topological properties. Our results show the best ranked venues have similar patterns of strength of co-authorship ties.
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Soares, Rafael Henrique Santos, Jorge H. C. Fernandes, and Ricardo Sampaio. "Formal Information Flows Among Top Authorities of the Brazilian Federal Government based on Co-word Analysis of Data Published in the Official Gazette." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6450.

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This paper describes a methodology for modeling social networks of formal communications among top authorities of the Brazilian Federal Government grounded on data available in the government official gazette (Diário Oficial da União). The text of a large number of official publications such as presidential decrees, ministerial orders and authority nominations was analyzed for identification of citations to organizations and persons. The co-occurrence of names of persons in such publications created a network of relations among such persons. An ego-network was built around the president Dilma Rousseff. Metrics of social network analysis were collected and analyzed in an exploratory fashion.
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Narodytska, Nina. "Formal Analysis of Deep Binarized Neural Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/811.

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Understanding properties of deep neural networks is an important challenge in deep learning. Deep learning networks are among the most successful artificial intelligence technologies that is making impact in a variety of practical applications. However, many concerns were raised about `magical' power of these networks. It is disturbing that we are really lacking of understanding of the decision making process behind this technology. Therefore, a natural question is whether we can trust decisions that neural networks make. One way to address this issue is to define properties that we want a neural network to satisfy. Verifying whether a neural network fulfills these properties sheds light on the properties of the function that it represents. In this work, we take the verification approach. Our goal is to design a framework for analysis of properties of neural networks. We start by defining a set of interesting properties to analyze. Then we focus on Binarized Neural Networks that can be represented and analyzed using well-developed means of Boolean Satisfiability and Integer Linear Programming. One of our main results is an exact representation of a binarized neural network as a Boolean formula. We also discuss how we can take advantage of the structure of neural networks in the search procedure.
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Melzi, Stefano, Ferruccio Resta, and Edoardo Sabbioni. "Vehicle Sideslip Angle Estimation Through Neural Networks: Application to Numerical Data." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95376.

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Aim of this paper is to evaluate the possibility of estimating the vehicle sideslip angle through a non-structured algorithm based on neural networks. Results reported are relevant to a numerical investigation of the network performance which can be regarded as preliminary stage for the application on a real vehicle. A numerical model is used to describe the vehicle dynamics and to generate the inputs for the neural network; with an appropriate set of manoeuvres for network training the non-structured algorithm provides reliable results when applied to a complete series of handling manoeuvres carried out with different tire-road friction coefficients.
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Maruyama, William Takahiro, and Luciano Antonio Digiampietri. "Co-authorship prediction in academic social network." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6445.

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The prediction of relationships in a social network is a complex and extremely useful task to enhance or maximize collaborations by indicating the most promising partnerships. In academic social networks, prediction of relationships is typically used to try to identify potential partners in the development of a project and/or co-authors for publishing papers. This paper presents an approach to predict coauthorships combining artificial intelligence techniques with the state-of-the-art metrics for link predicting in social networks.
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Reports on the topic "Network analisi"

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Leoni, Paolo. Techno-economic comparison of the collected examples. IEA SHC Task 55, November 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0012.

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Subtask A “Network analysis and integration” focuses on the overall aspects of district heating and cooling networks with integrated solar thermal (ST) technologies. Particularly important are the cases in which the solar share is such to significantly influence the operation of the network and the other heat/cold supply units. In the present factsheet, the best-practice examples collected in the factsheet A-D1.1 are analyzed and compared.
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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex network of key cryptocurrencies. It is shown that some of the spectral and topological characteristics can serve as measures of the complexity of the stock and crypto market, and their specific behaviour in the pre-crisis period is used as indicators- precursors of critical phenomena.
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Kalb, Jeffrey L., and David S. Lee. Network topology analysis. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/1028919.

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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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Johnson, Eric M., and Robert Chew. Social Network Analysis Methods for International Development. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0026.2105.

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Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and practitioners understand the social, political, and economic relational dynamics at the heart of international development programming. It can inform program design, monitoring, and evaluation to answer questions related to where people get information; with whom goods and services are exchanged; who people value, trust, or respect; who has power and influence and who is excluded; and how these dynamics change over time. This brief advances the case for use of SNA in international development, outlines general approaches, and discusses two recently conducted case studies that illustrate its potential. It concludes with recommendations for how to increase SNA use in international development.
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R.T. Rosche. IDCS NETWORK ALTERNATIVES ANALYSIS. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/883443.

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Meyer, Robert A., and David A. Perreault. Communication Network Software Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada281019.

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Rehrer, Sarah, Andrew Griffin, and Matthew Renner. Cross country mobility (CCM) modeling using triangulated irregular networks (TIN). Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46082.

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Cross country mobility (CCM) models terrain that has insufficient or unavailable infrastructure for crossing. This historically has been done with either hand-drawn and estimated maps or with raster-based terrain analysis, both of which have their own strengths and weaknesses. In this report the authors explore the possibility of using triangulated irregular networks (TINs) as a means of representing terrain characteristics used in CCM and discuss the possibilities of using such networks for routing capabilities in lieu of a traditional road-based network. The factors used to calculate CCM are modified from previous methods to capture a more accurate measurement of terrain characteristics. Using a TIN to store and represent CCM information achieves comparable results to raster cost analysis with the additional benefits of an integrated network useful for visualization and routing and a reduction in the number of related files. Additionally, TINs can in some cases more accurately show the contours of the landscape and reveal feature details or impediments that may be lost within a raster, thus improving the quality of CCM overlays.
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Van Leeuwen, Brian, Jason Gao, Haikuo Yin, Benjamin Anthony, and Vincent Urias. Networked-based Cyber Analysis using Deep Packet Inspection (DPI) for High-Speed Networks. Office of Scientific and Technical Information (OSTI), April 2022. http://dx.doi.org/10.2172/1863848.

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Rouil, Richard, Antonio Izquierdo, Camillo Gentile, David Griffith, and Nada Golmie. Nationwide Public Safety Broadband Network Deployment: Network Parameter Sensitivity Analysis. National Institute of Standards and Technology, February 2015. http://dx.doi.org/10.6028/nist.ir.8039.

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