394 research outputs found

    Multilayer Networks

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    In most natural and engineered systems, a set of entities interact with each other in complicated patterns that can encompass multiple types of relationships, change in time, and include other types of complications. Such systems include multiple subsystems and layers of connectivity, and it is important to take such "multilayer" features into account to try to improve our understanding of complex systems. Consequently, it is necessary to generalize "traditional" network theory by developing (and validating) a framework and associated tools to study multilayer systems in a comprehensive fashion. The origins of such efforts date back several decades and arose in multiple disciplines, and now the study of multilayer networks has become one of the most important directions in network science. In this paper, we discuss the history of multilayer networks (and related concepts) and review the exploding body of work on such networks. To unify the disparate terminology in the large body of recent work, we discuss a general framework for multilayer networks, construct a dictionary of terminology to relate the numerous existing concepts to each other, and provide a thorough discussion that compares, contrasts, and translates between related notions such as multilayer networks, multiplex networks, interdependent networks, networks of networks, and many others. We also survey and discuss existing data sets that can be represented as multilayer networks. We review attempts to generalize single-layer-network diagnostics to multilayer networks. We also discuss the rapidly expanding research on multilayer-network models and notions like community structure, connected components, tensor decompositions, and various types of dynamical processes on multilayer networks. We conclude with a summary and an outlook.Comment: Working paper; 59 pages, 8 figure

    The Unreasonable Effectiveness of Contact Tracing on Networks with Cliques

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    Contact tracing, the practice of isolating individuals who have been in contact with infected individuals, is an effective and practical way of containing disease spread. Here, we show that this strategy is particularly effective in the presence of social groups: Once the disease enters a group, contact tracing not only cuts direct infection paths but can also pre-emptively quarantine group members such that it will cut indirect spreading routes. We show these results by using a deliberately stylized model that allows us to isolate the effect of contact tracing within the clique structure of the network where the contagion is spreading. This will enable us to derive mean-field approximations and epidemic thresholds to demonstrate the efficiency of contact tracing in social networks with small groups. This analysis shows that contact tracing in networks with groups is more efficient the larger the groups are. We show how these results can be understood by approximating the combination of disease spreading and contact tracing with a complex contagion process where every failed infection attempt will lead to a lower infection probability in the next attempts. Our results illustrate how contract tracing in real-world settings can be more efficient than predicted by models that treat the system as fully mixed or the network structure as locally tree-like.Comment: 15 pages, 13 figures, 4 table

    Prevalence of obesity and disturbances in glucose homeostasis in HIV-infected subjects and general population - missed diagnoses of diabetes?

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    Objectives Comparative data on glucose disorders using fasting blood samples between people living with HIV (PLWH) and the general population are lacking. The objective of this study was to compare the prevalence and risk factors of obesity and disturbances in glucose homeostasis between PLWH treated with modern antiretroviral therapy and the general population. Methods Adjusted prevalence of obesity, features of insulin resistance (triglyceride:high-density lipoprotein cholesterol ratio and alanine aminotransferase), impaired fasting glucose (IFG), diabetes mellitus (DM) and combined dysglycaemia (presence of IFG or DM) were determined using fasting blood samples among 1041 PLWH and 7047 subjects representing the general population. Results People living with HIV had a lower prevalence of obesity [18.2%, 95% confidence interval (CI): 15.1-21.2 vs. 23.9%, 95% CI: 22.4-25.4], but a higher prevalence of insulin resistance and IFG (20.0%, 95% CI: 16.6-23.4 vs. 9.8%, 95% CI: 8.7-10.8) than the general population. Fasting glucose concentration was higher, but glycated haemoglobin (HbA1c) was lower, among PLWH. Prevalence of dysglycaemia for a given body mass index (BMI) was higher in PLWH than in the general population. The prevalence of DM did not differ between PLWH (13.2%, 95% CI: 10.2-15.9) and the general population (14.5%, 95% CI: 13.6-15.4). Conclusions The prevalence of obesity was lower, but the risk of dysglycaemia for a given BMI was significantly higher, among PLWH, highlighting the importance of prevention and treatment of obesity among HIV-infected subjects. Regardless of the increased prevalence of insulin resistance and IFG, DM was surprisingly not more common among PLWH, raising concern about the under-diagnosis of DM, possibly due to low sensitivity of HbA1c in this patient population.Peer reviewe

    Multiscale Analysis of Spreading in a Large Communication Network

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    In temporal networks, both the topology of the underlying network and the timings of interaction events can be crucial in determining how some dynamic process mediated by the network unfolds. We have explored the limiting case of the speed of spreading in the SI model, set up such that an event between an infectious and susceptible individual always transmits the infection. The speed of this process sets an upper bound for the speed of any dynamic process that is mediated through the interaction events of the network. With the help of temporal networks derived from large scale time-stamped data on mobile phone calls, we extend earlier results that point out the slowing-down effects of burstiness and temporal inhomogeneities. In such networks, links are not permanently active, but dynamic processes are mediated by recurrent events taking place on the links at specific points in time. We perform a multi-scale analysis and pinpoint the importance of the timings of event sequences on individual links, their correlations with neighboring sequences, and the temporal pathways taken by the network-scale spreading process. This is achieved by studying empirically and analytically different characteristic relay times of links, relevant to the respective scales, and a set of temporal reference models that allow for removing selected time-domain correlations one by one

    Muutokset alakouluikäisten fyysisessä aktiivisuudessa 2000-luvulla

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    Tiivistelmä. Tutkielman tarkoituksena oli tarkastella alakouluikäisten lasten fyysistä aktiivisuutta ja sen muutoksia 2000-luvun aikana. Lisäksi tavoitteena oli kuvata muutoksia alakouluikäisten urheiluseuratoimintaan osallistumisessa 2000-luvulla. Tarkastelimme myös koronapandemian vaikutuksia alakouluikäisten liikkumiseen sekä urheiluseuratoimintaan. Toteutimme tutkielman kuvailevana kirjallisuuskatsauksena. Tutkielman aihe on merkittävä, koska lapsena ja nuorena opittu fyysisesti aktiivinen elämäntapa luo tutkitusti hyvät edellytykset terveelle ja hyvinvoivalle elämälle. Fyysisesti aktiivinen elämäntapa on merkittävää kansanterveyden näkökulmasta, sillä liikkuminen vaikuttaa positiivisesti lasten ja nuorten fyysiseen, psyykkiseen sekä sosiaaliseen terveyteen. Aihepiiristä tehty aiempi tutkimus osoittaa, että huoli lasten liikkumisesta ja fyysisen suorituskyvyn heikkenemisestä on aiheellinen. Tehty tutkimus osoittaa, että suuri osa alakouluikäisistä liikkuu liian vähän liikkumissuosituksiin nähden. Kuitenkin 2000-luvun aikana tehdyistä tutkimuksista voidaan havaita pientä positiivista kehitystä fyysisen kokonaisaktiivisuuden osalta. Urheiluseuratoimintaan osallistuminen kasvoi tasaisesti 2000-luvun aikana alakouluikäisillä lapsilla, kunnes koronapandemia rajoitti harrastusmahdollisuuksia ja osallistuminen kääntyi ainakin väliaikaisesti laskuun. Lisäksi koronapandemia aiheutti askelmäärien merkittävää vähentymistä alakouluikäisillä lapsilla. 2000-luvun aikana tapahtuneesta positiivisesta kehityksestä huolimatta liikkumisen määrää tulisi saada lisättyä alakouluikäisillä lapsilla. Koronapandemian pidempiaikaisia vaikutuksia fyysisen aktiivisuuden määrään ja urheiluseuratoimintaan on tärkeä tutkia pandemian jälkeen. Lasten fyysisen aktiivisuuden ja urheiluseuratoimintaan osallistumisen määrä olisi tärkeä saada palautettua koronapandemiaa edeltävälle tasolle. Jotta tulevaisuudessa yhä useampi lapsi liikkuisi liikkumissuositusten mukaan, täytyisi saada selville mitkä asiat motivoisivat liikkumaan niitä lapsia, jotka eivät tällä hetkellä liiku tarpeeksi

    Renal function after combined liver-kidney transplantation : A longitudinal study of pediatric and adult patients

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    It has been proposed that the liver protects the kidney in CLKT. However, few studies have examined long-term renal function after CLKT and contrasted renal function of CLKT patients to KT patients beyond one year after transplantation. We studied long-term renal function of CLKT patients and compared renal function of CLKT patients to KT patients between one and five years after transplantation. Patients who underwent CLKT between 1993 and 2011 were included (n = 34; 11 children and 23 adults). Ninety-six (27 children and 69 adults) KT patients were selected as controls. GFR was estimated (eGFR) and measured (mGFR) with Cr-51-EDTA clearance. Mean mGFR was 63 at one and 70 at ten years after pediatric CLKT. Mean eGFR was 75 at one and 50 at ten years after adult CLKT. Difference in mean mGFR between pediatric CLKT and KT patients was 8 (95% CI -7 to 23) and 11 (95% CI -4 to 26) at one and five years after transplantation, respectively. Difference in mean eGFR between adult CLKT and KT patients was 8 (95% CI -5 to 20) and 1 (95% CI -10 to 12) at one and five years after transplantation, respectively. Longitudinal changes in GFRs were somewhat similar in CLKT and KT patients in both age-groups but pediatric CLKT patients had on average higher GFRs than pediatric KT patients. In long-term follow-up, renal function remains stable in pediatric CLKT patients but declines in adult CLKT patients.Peer reviewe

    Viral and Bacterial Pathogens in Bovine Respiratory Disease in Finland

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    Pathogens causing bovine respiratory tract disease in Finland were investigated. Eighteen cattle herds with bovine respiratory disease were included. Five diseased calves from each farm were chosen for closer examination and tracheobronchial lavage. Blood samples were taken from the calves at the time of the investigation and from 86 calves 3–4 weeks later. In addition, 6–10 blood samples from animals of different ages were collected from each herd, resulting in 169 samples. Serum samples were tested for antibodies to bovine parainfluenza virus-3 (PIV-3), bovine respiratory syncytial virus (BRSV), bovine coronavirus (BCV), bovine adenovirus-3 (BAV-3) and bovine adenovirus-7 (BAV-7). About one third of the samples were also tested for antibodies to bovine virus diarrhoea virus (BVDV) with negative results. Bacteria were cultured from lavage fluid and in vitro susceptibility to selected antimicrobials was tested. According to serological findings, PIV-3, BAV-7, BAV-3, BCV and BRSV are common pathogens in Finnish cattle with respiratory problems. A titre rise especially for BAV-7 and BAV-3, the dual growth of Mycoplasma dispar and Pasteurella multocida, were typical findings in diseased calves. Pasteurella sp. strains showed no resistance to tested antimicrobials. Mycoplasma bovis and Mannheimia haemolytica were not found

    Enthalpies of Combustion and Formation of Severely Crowded Methyl-Substituted 1,3-dioxanes. The Magnitudes of 2,4-and 4,6-diaxial Me,Me-Interactions and the Chair-2,5-twist Energy Difference

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    Enthalpies of combustion of 2,2-trans-4,6- (1) and 4,4,6,6-tetramethyl- (2) and 2,4,4,6,6- (3) and 2,2,4,4,6-pentamethyl-1,3-dioxanes (4) were determined to estimate their enthalpies of formation in the gas phase. By comparing the latter with the corresponding enthalpies estimated based on the various bond-bond interactions allowed to determine the chair-2,5-twist energy difference (Delta H-CT= 29.8 kJ mol(-1)) for 1 since C-13 shift correlations indicate that it escapes to the 2,5-twist form where the 2-methyl groups are isoclinal and 4- and 6-methyl groups pseudoequatorial to avoid syn-axial interactions. Compounds 2 and 3 in turn give the values 21.0 and 21.6 kJ mol(-1)for the 4,6-diaxial Me,Me-interaction. Finally compound 4, which retains the chair conformation to avoid pseudoaxial interactions in the twist forms gives the value 19.5 kJ mol(-1)for the 2,4-diaxial Me,Me-interaction indicating that its chair form appears to be somewhat deformed

    From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles

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    The inference of network topologies from relational data is an important problem in data analysis. Exemplary applications include the reconstruction of social ties from data on human interactions, the inference of gene co-expression networks from DNA microarray data, or the learning of semantic relationships based on co-occurrences of words in documents. Solving these problems requires techniques to infer significant links in noisy relational data. In this short paper, we propose a new statistical modeling framework to address this challenge. It builds on generalized hypergeometric ensembles, a class of generative stochastic models that give rise to analytically tractable probability spaces of directed, multi-edge graphs. We show how this framework can be used to assess the significance of links in noisy relational data. We illustrate our method in two data sets capturing spatio-temporal proximity relations between actors in a social system. The results show that our analytical framework provides a new approach to infer significant links from relational data, with interesting perspectives for the mining of data on social systems.Comment: 10 pages, 8 figures, accepted at SocInfo201
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