168 research outputs found
Moment closure approximations of susceptible-infected-susceptible epidemics on adaptive networks
No full textThe influence of people's individual responses to the spread of contagious phenomena, like the COVID-19 pandemic, is still not well understood. We investigate the Markovian Generalized Adaptive Susceptible-Infected-Susceptible (G-ASIS) epidemic model. The G-ASIS model comprises many contagious phenomena on networks, ranging from epidemics and information diffusion to innovation spread and human brain interactions. The connections between nodes in the G-ASIS model change adaptively over time, because nodes make decisions to create or break links based on the health state of their neighbors. Our contribution is fourfold. First, we rigorously derive the first-order and second-order mean-field approximations from the continuous-time Markov chain. Second, we illustrate that the first-order mean-field approximation fails to approximate the epidemic threshold of the Markovian G-ASIS model accurately. Third, we show that the second-order mean-field approximation is a qualitative good approximation of the Markovian G-ASIS model. Finally, we discuss the Adaptive Information Diffusion (AID) model in detail, which is contained in the G-ASIS model. We show that, similar to most other instances of the G-ASIS model, the AID model possesses a unique steady state, but that in the AID model, the convergence time toward the steady state is very large. Our theoretical results are supported by numerical simulations.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Network Architectures and Service
PENDAMPINGAN KELOMPOK MITRA BUDIDAYA KEPITING BAKAU DESA EELAHAJI MENUJU KEMANDIRIAN EKONOMI
No full textWilayah desa Eelahaji sangat potensial dikembangkan untuk kegiatan budidaya kepiting bakau. Kegiatan pemberdayaan masyarakat desa mitra di desa Eelahaji saat ini adalah mendampingi mitra binaan dalam kegiatan budidaya dan pemasaran kepiting bakau. Tujuan dari program ini adalah mewujudkan kemandirian ekonomi mitra kelompok nelayan secara khusus dan masyarakat desa Eelahaji pada umumnya menuju desa Eelahaji sebagai sentra kepiting bakau. Mekanisme pelaksanaan kegiatan pendampingan kelompok mitra budidaya kepiting bakau menuju kemandirian ekonomi bagi masyarakat di desa Eelahaji dilakukan melalui rangkaian tahapan kegiatan antara lain: penambahan area budidaya pembesaran kepiting, pemeliharaan kepiting bakau, penguatan kapasitas budidaya kepiting bakau dengan menjalin kerjasama dengan pemerintah terkait, penataan infrastruktur pemasaran melalui pembuatan website dan akun sosial, dan pelatihan manajemen keuangan dan pemasaran. Pelaksanaan kegiatan pendampingan masyarakat nelayan kepiting bakau menuju kemadirian ekonomi telah mencapai hasil berupa bertambahnya luasan kolam budidaya kepiting bakau, kepiting yang dapat dibudidayakan meningkat jumlahnya, tercapai kesepakatan dengan Dinas terkait di Kabupaten Buton Utara untuk bersedia mendampingi kelompok mitra dalam kegiatan budidaya kepiting bakau di desa Eelahaji, tersedianya sarana promosi dan pemasaran berupa website dan akun media sosial, dan meningkatnya pengetahuan dan keterampilan kelompok mitra dalam tatakelola dan managemen keuangan dan pemasaran
Characteristics of Self-Citation in Journal of Natural Rubber Research 1988-1997: a Ten-Year Bibliometric Study
Full text linkAnalyses the extent of journal self-citation and author self-citation in the research articles and short communications published in Journal of Natural Rubber Research during 1988 to 1997. Results show that 53% of articles contained journal self-citations; the rate of journal self-citations per article ranges between 1 to 12; a high percentage of authors (61.4%) contributing articles to the journal cited themselves; a tendency is noticed for authors affiliated to the institution publishing the journal to cite the journal; the highest self-citing author is A. D. Roberts
From epidemics to information propagation: Striking differences in structurally similar adaptive network models
Full text linkThe continuous-time adaptive susceptible-infected-susceptible (ASIS) epidemic model and the adaptive information diffusion (AID) model are two adaptive spreading processes on networks, in which a link in the network changes depending on the infectious state of its end nodes, but in opposite ways: (i) In the ASIS model a link is removed between two nodes if exactly one of the nodes is infected to suppress the epidemic, while a link is created in the AID model to speed up the information diffusion; (ii) a link is created between two susceptible nodes in the ASIS model to strengthen the healthy part of the network, while a link is broken in the AID model due to the lack of interest in informationless nodes. The ASIS and AID models may be considered as first-order models for cascades in real-world networks. While the ASIS model has been exploited in the literature, we show that the AID model is realistic by obtaining a good fit with Facebook data. Contrary to the common belief and intuition for such similar models, we show that the ASIS and AID models exhibit different but not opposite properties. Most remarkably, a unique metastable state always exists in the ASIS model, while there an hourglass-shaped region of instability in the AID model. Moreover, the epidemic threshold is a linear function in the effective link-breaking rate in the AID model, while it is almost constant but noisy in the AID model.Intelligent SystemsElectrical Engineering, Mathematics and Computer Scienc
Middle of the (by)line: Examining hyperauthorship networks in the Human Genome Project
Full text linkThe era of big science promises rapid growth of scientific innovations and complex problem-solving, bringing forth the practice of doing science in large-scale collaborative effort rather than single author, solitary work. In disciplines such as genomics and high-energy physics, it is not uncommon that hyperauthorship phenomenon with the amount of authors soaring high from hundredth to thousandth. The purpose of this research is to explore the collaboration dynamics and the partial alphabetical author byline in one of the primary research article within the Human Genome Project (HGP). Using co-authorship network analysis, we find that middle authors play crucial roles in facilitating collaboration among previously unconnected authors as well as contributing to genetic sequencing efforts. Future work entails network analysis of all published works by HGP to comprehensively capture collaboration dynamics among multiple research centers.Open Restriction set for Item 107980 on 2018-10-22T16:13:30Z with date null by [email protected] by Jessica Cheng ([email protected]) on 2018-10-22T16:23:50Z
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Previous issue date: 2018Goggin fundSmith fundOpe
Daily Englih conversations for beginners
Full text linkBuku Daily English Conversations for Beginners didesain untuk menjadi buku yang bisa digunakan bagi siapa saja yang sedang mempelajari Bahasa Inggris untuk level pemula (beginners). Berbagai macam aktivitas percakapan berbahasa Inggris disajikan sebagai model agar pembaca bisa memahami dan menjadikan panduan terhadap aktivitas serupa yang mungkin akan mereka jumpai di masyarakat. Buku ini memberikan contoh variasi percakapan yang terjadi dalam situasi dan kontek yang beraneka ragam. Dalam setiap model kegiatan transaksi, buku ini menyediakan contoh percakapan yang dilengkapi dengan ekspresi bahasa Inggris yang berkaitan dengan konteks. Untuk mendukung tercapainya tujuan pemahaman dalam berkomunikasi, buku ini memberikan penjelasan tentang ungkapan yang digunakan dalam setiap transaksi. Buku juga menyediakan berbagai ungkapan berbahasa Inggris yang lain untuk dapat dijadikan variasi ungkapan dalam suatu percakapan. Kosakata yang yang sering dipakai dalam komunikasi lisan dan tulisan juga disajikan dalam buku ini berupa noun (kata benda), verb (kata kerja), adjective (kata sifat), dan adverb (kata keterangan). Buku ini mencakup 26 kegiatan dalam konteks yang berbeda diantaranya adalah greetings (salam), introduction (perkenalan), talking about hobby, talking about family, conversation in the post office, talking about travelling and movies, asking for suggestion, giving directions, dan masih banyak lagi topik yang lainnya
High-Titre ANA Positivity in NAFLD: An Uncommon Presentation of a Common Disease
Full text linkNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease and has emerged as a serious public health challenge. About 20% of NAFLD patients may have low titres (1:320) on presentation. After 3 months of diet, exercise and vitamin E supplementation,the patient was symptomatically better but her ANA titre had increased (>1:640). Her liver biopsy showed features of NAFLD with minimal fibrosis. High-titre ANA (>1:320) positivity is rare. Our patient showed a progressive rise in ANA titre from >1:320 to >1:640 within 3 months even though she was improving and histology showed minimal fibrosis
Using information obtained through informetrics to address practical problems and to aid decision making Sponsored by: ASIS&T SIG/MET Panel committee: Judit Bar-Ilan i , Jonathan Levitt (corresponding author) ii
No full textABSTRACT This panel aims to inform participants of, and to stimulate interest in, the diverse ways in which the measurement of information (informetrics) is used in real-world applications. Its timeliness is indicated by the recent increase in interest amongst ASIS&T members in informetrics that culminated in the endorsement of the change of status of SIG/MET from a virtual SIG to fully functional ASIS&T SIG. The panelists, selected for their diverse experiences in informetrics, address a diversity of issues in the use of informetric information in real-world situations. The format of the panel is designed to encourage audience participation with the audience being encouraged to suggest issues for discussion
Spreading Processes over Adaptive Networks
No full textThe spreading process of diseases has been an important research topic for many years. It has profound effects on the development of human social behaviors. The underlying social network structure may change when individuals change their connection with other individuals in response to the epidemic. The classic susceptible-infected-susceptible (SIS) model is used to model the spread of an epidemic on a network, where all individuals are defined as nodes and the connections between the individuals are regarded as links. Besides the typical static network, the structure of the network can be related to the state of nodes (infected or susceptible) by link breaking and link creation processes. So the extended network, adaptive susceptible-infected-susceptible model (ASIS model) can be derived.To study the spreading process on static networks and adaptive networks, we use stochas- tic simulations and mean field approximations. We assume that the spreading process over the network is a continuous-time discrete-state Markov process. But most recent works use the discrete-time simulator, which is actually an approximation of the process. In this report, we extend a existing continuous-time simulator towards adaptive networks. This existing simulator is based on the Gillespie algorithm. We perform the simulations using both discrete-time Markov chain and continuous-time Markov process. And based on the simulation results, we demonstrate that the continuous-time simulator has a better performance than the discrete-time simulator on modeling both static SIS network and ASIS network with high accuracy.The second part of this work aims to study the characteristics of the ASIS network in the metastable state. We observe three possible states of the ASIS network: the endemic state, disease-free state and bistable state. The degree distribution of the graph follows a binomial distribution in some cases. By plenty of simulations with different parameters, we illustrate under what circumstances the degree distribution follows the binomial distribution.Electrical Engineering | Wireless Communication and Sensin
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