Studying Evolving Complex Networks.

PhD Theses.The last 20 years has seen a vast increase in the prevalence, the size and the richness of network data. In particular, largely thanks to the emergence of online social networks, more and more datasets have nely grained temporal information such as timestamped social media posts or email logs. This presents an opportunity to deepen our understanding of networks as dynamic objects, whose nodes and links may vary in time. With this opportunity comes the challenge of how to best capitalise on this temporal information. To this end, this thesis presents a statistical toolkit for researchers studying large temporal network datasets across the following research areas. First, it visits a problem space which is as old as the eld of network science itself, that of nding `realistic' network growth models. It presents a methodology which uses the extra temporal information for inferring the most likely network growth model for a dataset, being also able to t mixture models to real data akin to linear regression. Second, it generalises this idea to consider models that themselves can vary in time, toward the end goal of being able to perform changepoint detection on growing networks. Moving away from strictly studying the growth of networks, the technique of window-based analysis is put under the microscope, in a large-scale analysis of two online social networks using multiple time windows from sizes of an hour to a year. Finally, it addresses a problem faced by many social network researchers which is only having a small sample of the data available to work with. A graph sampling procedure which is similar to the Twitter API is given a statistical treatment, providing estimators for degree distribution and triangle count

Symmetric and Asymmetric Data in Solution Models

This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book

Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences

Mathematical fuzzy logic (MFL) specifically targets many-valued logic and has significantly contributed to the logical foundations of fuzzy set theory (FST). It explores the computational and philosophical rationale behind the uncertainty due to imprecision in the backdrop of traditional mathematical logic. Since uncertainty is present in almost every real-world application, it is essential to develop novel approaches and tools for efficient processing. This book is the collection of the publications in the Special Issue “Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences”, which aims to cover theoretical and practical aspects of MFL and FST. Specifically, this book addresses several problems, such as:- Industrial optimization problems- Multi-criteria decision-making- Financial forecasting problems- Image processing- Educational data mining- Explainable artificial intelligence, etc

Statistical and Technical Methodologies for Duplicated Multiple-Samples Preference and Attribute Intensity Sensory Ranking Test

Ranking tests are important preference and attribute difference tools for sensory evaluation. Replicated testing is used widely to reduce the number of panelists required in other sensory methods such as discrimination. The information regarding replications sensory ranking is limited. This research evaluated important statistical and technical aspects for the development of the foundation for duplicated sensory ranking tests. Three studies were accomplished: 1) A study of nonparametric analyses on real preference ranked data; 2) a sensitivity study of two samples serving protocols for duplicated visual ranking, and 3) protocols comparison in taste. In study 1, 125 panelists ranked in duplicates each of two sets of three orange juice samples. One set contained very different samples and the other similar samples. Five methods of data analysis were evaluated. With similar samples, analyzing duplicates separately yielded inconsistent conclusions across sample sizes. The Mack-Skillings test was more sensitive than the Friedman test and is more appropriate for analyzing duplicated rank data. Study 2 compared the sensitivity of duplicated yellow color intensity ranking served either in one or two sessions. Panelists (n=75) ranked both similar and different orange juice sets. For each set, rank sum data were obtained from (1) intermediate ranks from jointly re-ranked scores of two separate duplicates for each panelist, (2) joint ranked data of all panelists from the two replications in one serving session, and (3) median rank data of each panelist from two replications. Rank data (3) were analyzed by the Friedman test, while those from 1 and 2 by the M-S test. The similar-samples set had higher variation and inconsistency with one serving session, producing higher P-values than two serving sessions. Both M-S ranking protocols were more sensitive to color differences than Friedman on the medians. For study 3, an identical design was used to evaluate both serving protocols of duplicated sweetness ranking tests. Separate duplicates were more sensitive for color but not in sweetness, especially with confusable samples. This showed that the conducting duplicated ranking in a single session can be beneficial, but it should be tested for the products and attributes of interest before standardizing testing

A Framework for Prioritizing Opportunities of Improvement in the Context of Business Excellence Model in Healthcare Organization

In today\u27s world, the healthcare sector is facing challenges to improve the efficiency and effectiveness of its operations. More and more improvement projects are being adopted to enhance healthcare services, making it more patient-centric, and enabling better cost control. Healthcare organizations strive to identify and carry out such improvement initiatives to sustain their businesses and gain competitive advantage. Seeking to reach a higher operational level of excellence, healthcare organizations utilize business excellence criteria to conduct assessment and identify organizational strengths and weaknesses. However, while such assessments routinely identify numerous areas for potential improvement, it is not feasible to conduct all improvement projects simultaneously due to limitations in time, capital, and personnel, as well as conflict with other organization\u27s projects or strategic objectives. An effective prioritization and selection approach is valuable in that it can assist the organization to optimize its available resources and outcomes. This study attempts to enable such an approach by developing a framework to prioritize improvement opportunities in healthcare in the context of the business excellence model through the integration of the Fuzzy Delphi Method and Fuzzy Interface System. To carry out the evaluation process, the framework consists of two phases. The first phase utilizes Fuzzy Delphi Method to identify the most significant factors that should be considered in healthcare for electing the improvement projects. The FDM is employed to handle the subjectivity of human assessment. The research identifies potential factors for evaluating projects, then utilizes FDM to capture expertise knowledge. The first round in FDM is intended to validate the identified list of factors from experts; which includes collecting additional factors from experts that the literature might have overlooked. When an acceptable level of consensus has been reached, a second round is conducted to obtain experts\u27 and other related stakeholders\u27 opinions on the appropriate weight of each factor\u27s importance. Finally, FDM analyses eliminate or retain the criteria to produce a final list of critical factors to select improvement projects. The second phase in the framework attempts to prioritize improvement initiatives using the Hierarchical Fuzzy Interface System. The Fuzzy Interface System combines the experts\u27 ratings for each improvement opportunity with respect to the factors deemed critical to compute the priority index. In the process of calculating the priority index, the framework allows the estimation of other intermediate indices including: social, financial impact, strategical, operational feasibility, and managerial indices. These indices bring an insight into the improvement opportunities with respect to each framework\u27s dimensions. The framework allows for a reduction of the bias in the assessment by developing a knowledge based on the perspectives of multiple experts

Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute

Mapping the connections : An integrated approach to mapping Nature’s contributions to people in a Nordic biosphere reserve

Naturen og hennes økosystemer gir flere bidrag til mennesker som gagner vår velvære. Disse økosystemtjenestene er truet på grunn av omfattende menneskelige aktiviteter som har resultert i omfattende arealbruksendringer, raske klimaendringer og destruktiv overhøsting. Å anerkjenne og verdsette økosystemtjenester er en måte å gjøre rede for dem i politiske handlinger for å forvalte økosystemer bærekraftig for mennesker og natur. Imidlertid er det forskjellige måter som økosystemtjenester kan verdsettes på tvers av biofysiske, sosiokulturelle og monetære verdidomener, og disse verdiene samhandler innenfor og på tvers av domener. For å verdsette økosystemtjenester fullt ut er det behov for ikke bare å utvikle verdsettingsmetoder på tvers av alle tre domenene, men også måter å integrere på tvers av dem. Økosystemtjenester er ikke jevnt fordelt, og deres verdier er forskjellige i rom på grunn av ulike sosiale og økologiske faktorer. For å administrere økosystemtjenester må vi derfor også se hvordan og hvorfor verdiene deres varierer på tvers av landskap. og vi må gjøre rede for det dynamiske forholdet mellom økosystemtjenester på tvers av verdidomener og sosial-økologiske kontekster. I denne oppgaven presenterer jeg fire artikler som tar for seg noen av disse utfordringene med økosystemtjenester innenfor konteksten av et UNESCO-biosfærereservat på Vestlandet. Først kartla vi sosiokulturelle verdier for økosystemtjenester ved hjelp av en undersøkelse av geografiske informasjonssystemer (PPGIS) for offentlig deltakelse. Vi undersøkte hvordan sosiokulturelle verdier for økosystemtjenesteverdier varierer på tvers av et biosfærereservat, hvilke verdier som vanligvis forekommer sammen i bunter, og hvilke sosial-økologiske egenskaper som bestemmer fordelingen av disse buntene. Folk kartla hovedsakelig steder for friluftsliv, biologisk mangfold, landbruksprodukter og kulturarv, hovedsakelig i områder med høyere menneskelig befolkning. Vi identifiserte fem bunter som representerer koblede biokulturelle verdier for landbruk og kulturarv, friluftsliv og biologisk mangfold, og vill mat og mental velvære. Generelt var tilgjengelighet den viktigste faktoren som avgjorde fordelingen av buntene. For det andre integrerte vi biofysiske verdier med sosiokulturelle verdier og kartla økosystemtjenester i biosfærereservatet. Vi undersøkte fordelingen av disse integrerte økosystemtjenesteverdiene over biosfærereservatsonene og deres bunter over to romlige skalaer. Økosystemtjenestene samlet inn i tre distinkte sosial-økologiske systemarketyper som var like i distribusjon og relative økosystemtjenesteverdier på begge romlige skalaer. Buntene var også godt tilpasset relative økosystemtjenesteverdier i biosfærereservatsonene (kjerne, buffer og overgang), noe som indikerer at buntene fanger opp de sosialøkologiske systemene i sonene. Disse resultatene viser at det er viktig å vurdere sonenes sosialøkologiske kontekst for å gi tilstrekkelig kunnskap til å informere ledelsen. For det tredje brukte vi en ny kombinasjon av PPGIS og sosiale nettverksdata for å kartlegge økosystemets samproduksjonsnettverk i biosfærereservatet. Vi identifiserte fire komponenter i økosystemets samproduksjonsnettverk som sosiokulturelle verdier, direkte ledelse, styring og forskning/kunnskapsproduksjon. Først kartla vi den relative oppmerksomheten ulike økosystemtjenester mottok fra disse samproduksjonskomponentene. Deretter kartla vi det sosiale nettverket for kommunikasjon om ulike økosystemtjenester blant samproduksjonskomponentene. Vi fant misforhold mellom ulike komponenter i samproduksjonsnettverket. Viktigere, vi identifiserte at kulturelle økosystemer ble høyt verdsatt, men får relativt mindre styring og særlig forskningsoppmerksomhet. Videre var de primære forvalterne av kulturelle økosystemtjenester også dårlig koblet i økosystemtjenestens samproduksjonssosiale nettverk. Resultatene viser viktigheten av å tenke på samproduksjon av økosystemtjenester som et relasjonelt nettverk og av å kartlegge hva som diskuteres av hvem. Til slutt integrerte vi økologiske feltundersøkelser og PPGIS for å utforske (mis)matchen i biofysiske og sosiokulturelle verdier for økosystemtjenester i sammenheng med landforlatelse og skogplanting. Biofysiske verdier for økosystemtjenester var mer like på tvers av vegetasjonstyper, mens sosiokulturelle verdier generelt var høyest i åpen vegetasjon og uplantede skogtyper. Økosystemtjenesten med størst forskjell i biofysiske og sosiokulturelle verdier global klimaregulering, mens biologisk mangfold og landbruksprodukter var like på tvers av verdidomenene. Sosiokulturelle verdier var ikke jevnt fordelt på studiedeltakerne. Det var to distinkte grupper som representerte eldre bønder bosatt i regionen med høye verdier for å levere økosystemtjenester på den ene siden, og yngre kvinner som ikke er innbyggere som verdsetter regulering og vedlikehold av økosystemtjenester. Denne studien viser viktigheten av å vurdere ulike både ulike verdidomener og faktorene som påvirker disse verdiene i beslutninger om endring av arealbruk.Nature and her ecosystems make multiple contributions to people that benefit our wellbeing. These ecosystem services are under threat due to extensive human activities that have resulted in widespread land-use change, rapid climate change and destructive overharvesting. Acknowledging and valuing ecosystem services is a way to account for them in policy actions to manage ecosystems sustainably for people and nature. However, there are different ways in which ecosystem services can be valued across biophysical, socio-cultural, and monetary value-domains and these values interact within and across domains. To fully value ecosystem services there is a need to not only develop valuation methods across all three domains, but also ways of integrating across them. Ecosystem services are not evenly distributed, and their values differ in space due to various social and ecological factors. Therefore, to manage ecosystem services we also need to know how and why their values vary across landscapes, and we need to account for the dynamic relationship between ecosystem services across the value-domains and social-ecological contexts. In this thesis I present four papers that addresses some of these challenges with ecosystem services within the context of a UNESCO Biosphere Reserve in western Norway. First, we mapped socio-cultural values for ecosystem services using a public participation geographic information systems (PPGIS) survey. We explored how socio-cultural values for ecosystem service values vary across a biosphere reserve, which values commonly co-occur in bundles, and what social-ecological characteristics determine the distribution of those bundles. People mapped predominantly places for outdoor recreation, biodiversity, agricultural products, and cultural heritage predominantly in areas with higher human populations. We identified five bundles representing linked biocultural values for agriculture and cultural heritage, outdoor recreation and biodiversity, and wild food and mental wellbeing. In general accessibility was the most important factor that determined the distribution of the bundles. Second, we integrated biophysical values with socio-cultural values and mapped ecosystem services in the biosphere reserve. We explored the distribution of these integrated ecosystem services values across the biosphere reserve zones and their bundles across two spatial scales. The ecosystem services bundled into three distinct social-ecological system archetypes that were similar in their distribution and relative ecosystem service values at both spatial scales. The bundles were also well matched to relative ecosystem services values of the Biosphere Reserve zones (core, buffer and transition) indicating that the bundles capture the social-ecological systems of the zones. These results show that it is important to consider the social-ecological context of the zones to provide sufficient knowledge to inform management. Third, we used a novel combination of PPGIS and social network data to map the ecosystem co-production network in the biosphere reserve. We identified four components of the ecosystem co-production network as socio-cultural values, direct management, governance, and research/knowledge production. First, we mapped the relative attention different ecosystem services received from those co-production components. Then we mapped the social network of communication about different ecosystem services among the co-production components. We found mismatches between different components of the co-production network. Importantly, we identified that cultural ecosystems were highly valued but receive comparatively less governance and particularly research attention. Furthermore, the primary managers of cultural ecosystem services were also poorly connected in the ecosystem service co-production social-network. The results show the importance of thinking of ecosystem service co-production as a relational network and of mapping what is being discussed by whom. Finally, we integrated ecological field surveys and PPGIS to explore the (mis)match in biophysical and socio-cultural values for ecosystem services in the context of land abandonment and afforestation. Biophysical values for ecosystem services were more similar across vegetation types while socio-cultural values were generally highest in open vegetation and unplanted forest types. The ecosystem service with the largest difference in biophysical and socio-cultural values global climate regulation, while biodiversity and agricultural products were similar across the value-domains. Socio-cultural values were not evenly spread across the study participants. There were two distinct groups representing older farmers resident in the region with high values for provisioning ecosystem services on the one hand, and non-resident younger females valuing regulating and maintenance ecosystem services. This study shows the importance of considering different value-domains and the factors that influence those values in land-use change decisions.Doktorgradsavhandlin