The Dynamics of Web Traffic

2018 ◽  
pp. 82-101
Author(s):  
Bruce Rogers
Keyword(s):  
Mathematical Models ◽  
Power Law ◽  
Equity Market ◽  
Biological Species ◽  
Web Traffic ◽  
New Models ◽  
Over Time ◽  
The Web

This chapter aims to build better models of web traffic. It shows how web traffic is roughly power law distributed, in which a highly concentrated “head” of the Web is coupled with a long, diffuse “tail” of tiny sites. These power law-like patterns have provoked vigorous debate about whether the Web is dominated by new or old elites. To address these issues, this chapter builds new models that scale seamlessly from the largest websites down to hundreds of smaller ones. It builds and tests these models with a rich dataset from Hitwise, a web measurement firm. As this chapter shows, digital audience growth follows predictable patterns. These patterns look much like the growth of cities over time, or the fluctuations of stocks on an equity market (more on that shortly), or even the growth and decline of biological species. This chapter borrows mathematical models and techniques from other disciplines to demonstrate these patterns, focus with a focus on understanding the principles and intuition behind the models.

scholarly journals EasyModel: user-friendly tool for building and analysis of simple mathematical models in systems biology

2019 ◽  
Author(s):  
Jordi Bartolome ◽  
Rui Alves ◽  
Francesc Solsona ◽  
Ivan Teixido
Keyword(s):  
Systems Biology ◽  
Mathematical Models ◽  
Web Application ◽  
Biomodels Database ◽  
New Models ◽  
Main Target ◽  
Programming Skills ◽  
User Friendly ◽  
The Web ◽  
Experimental Biologist

Abstract Summary EasyModel is a new user-friendly web application that contains ready-for-simulation versions of the BioModels Database, and allows for the intuitive creation of new models. Its main target audience is the experimental biologist and students of bioinformatics or systems biology without programming skills. Expert users can also benefit from it by implementing basic models quickly and downloading the code for further tailoring. Availability and implementation Freely available on the web at https://easymodel.udl.cat. Implementation is described in its own section.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

A five-decade review of gender-based occupational segregation: A bibliometric study of influential authors, institutions, and research clusters

2021 ◽  
Vol 30 (2) ◽  
pp. 117-128
Author(s):  
Leena Sachdeva ◽  
Kumkum Bharti ◽  
Mridul Maheshwari
Keyword(s):  
Wage Differential ◽  
Web Of Science ◽  
Occupational Segregation ◽  
Extensive Field ◽  
Organisational Structures ◽  
Gender Based ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Despite the proliferation of occupational segregation research, only a limited amount has explored it from a gender perspective. The attention that has been given is widely scattered and requires an analysis to identify the major works undertaken and the changes over time. This study aimed to examine and assimilate articles published on gender-based occupational segregation through a bibliometric analysis. The study examined 512 articles published from the early 1970s to 2020 that were retrieved from the Web of Science database. The findings suggest that gender and occupational segregation remain an extensive field of research, although this research comes mainly from North American and European countries. The low representation from developing countries indicates that more research is needed based on these different socio-cultural settings. This study identified three dominant research clusters, namely gendered organisational structures and systems, measurement of occupational segregation, and wage differential. Studies also covered areas including conceptualization, LGBTQ issues, and the role of legislation and institutions in reducing workplace inequalities; thus, providing a direction for scholars and practitioners.

Decomposition of Growth Curves into Growth Rate and Acceleration: a Novel Procedure to Monitor Bacterial Growth and the Time-Dependent Effect of Antimicrobials

2021 ◽  
Author(s):  
M. Luisa Navarro-Pérez ◽  
M. Coronada Fernández-Calderón ◽  
Virginia Vadillo-Rodríguez
Keyword(s):  
Growth Rate ◽  
Mathematical Models ◽  
Bacterial Growth ◽  
Time Course ◽  
Antimicrobial Agents ◽  
Numerical Procedure ◽  
Growth Curves ◽  
Predictive Microbiology ◽  
Insight Into ◽  
Over Time

In this paper, a simple numerical procedure is presented to monitor the growth of Streptococcus sanguinis over time in the absence and presence of propolis, a natural antimicrobial. In particular, it is shown that the real-time decomposition of growth curves obtained through optical density measurements into growth rate and acceleration can be a powerful tool to precisely assess a large range of key parameters [ i.e. lag time ( t 0 ), starting growth rate ( γ 0 ), initial acceleration of the growth ( a 0 ), maximum growth rate ( γ max ), maximum acceleration ( a max ) and deceleration ( a min ) of the growth and the total number of cells at the beginning of the saturation phase ( N s )] that can be readily used to fully describe growth over time. Consequently, the procedure presented provides precise data of the time course of the different growth phases and features, which is expected to be relevant, for instance, to thoroughly evaluate the effect of new antimicrobial agents. It further provides insight into predictive microbiology, likely having important implications to assumptions adopted in mathematical models to predict the progress of bacterial growth. Importance: The new and simple numerical procedure presented in this paper to analyze bacterial growth will possibly allow identifying true differences in efficacy among antimicrobial drugs for their applications in human health, food security, and environment, among others. It further provides insight into predictive microbiology, likely helping in the development of proper mathematical models to predict the course of bacterial growth under diverse circumstances.

scholarly journals On attracting sets in artificial networks: cross activation

2018 ◽  
Vol 16 ◽  
pp. 01005
Author(s):  
Felix Sadyrbaev
Keyword(s):  
Dynamical Systems ◽  
Differential Equations ◽  
Mathematical Models ◽  
Ordinary Differential Equations ◽  
Critical Points ◽  
Regulatory Networks ◽  
Main Diagonal ◽  
Sigmoidal Function ◽  
Genomic Regulatory Networks ◽  
Over Time

Mathematical models of artificial networks can be formulated in terms of dynamical systems describing the behaviour of a network over time. The interrelation between nodes (elements) of a network is encoded in the regulatory matrix. We consider a system of ordinary differential equations that describes in particular also genomic regulatory networks (GRN) and contains a sigmoidal function. The results are presented on attractors of such systems for a particular case of cross activation. The regulatory matrix is then of particular form consisting of unit entries everywhere except the main diagonal. We show that such a system can have not more than three critical points. At least n–1 eigenvalues corresponding to any of the critical points are negative. An example for a particular choice of sigmoidal function is considered.

Feeling at Home in the Neighborhood: Belonging, the House and the Plaza in Helsinki and Madrid

2019 ◽  
Vol 18 (1) ◽  
pp. 213-237
Author(s):  
Kaisa Kuurne (Ketokivi) ◽  
M. Victoria Gómez
Keyword(s):  
Ethnographic Fieldwork ◽  
Social Belonging ◽  
Everyday Politics ◽  
Feeling At Home ◽  
Over Time ◽  
The Web ◽  
At Home

Drawing on multisited ethnographic fieldwork in two historic, attractive, and socially mixed neighborhoods, Kumpula in Helsinki and Malasaña in Madrid, this paper examines what makes people feel at home (or not) in their neighborhood. Marrying the literatures on social belonging and materiality, we analyze the interactions through which local places, people, and materials become familiar and personal. We identify the house in Kumpula and the plaza in Madrid as “everyday totems” that weave local life and community together. In both neighborhoods, the testimonies of home are accompanied with an attachment to the local totem and related lifestyle, but the house and the plaza generate different everyday politics of belonging. House–based belonging in Kumpula requires resources and long–term engagement that over time contributes to a personal, but rather exclusive web of belonging. Plaza–based belonging in Malasaña is more inclusive and elastic, but joining the web of belonging requires time and sociability.

scholarly journals Differences in power-law growth over time and indicators of COVID-19 pandemic progression worldwide

2020 ◽  
Author(s):  
Jack Merrin
Keyword(s):  
Error Analysis ◽  
Real Time ◽  
Power Law ◽  
Growth Phase ◽  
Exponential Growth ◽  
Spreading Rate ◽  
Exponential Growth Phase ◽  
Power Law Exponent ◽  
Disease Spreading ◽  
Over Time

1AbstractAn automated statistical and error analysis of 45 countries or regions with more than 1000 cases of COVID-19 as of March 28, 2020, has been performed. This study reveals differences in the rate of disease spreading rate over time in different countries. This survey observes that most countries undergo a beginning exponential growth phase, which transitions into a power-law phase, as recently suggested by Ziff and Ziff. Tracking indicators of growth, such as the power-law exponent, are a good indication of the relative danger different countries are in and show when social measures are effective towards slowing the spread. The data compiled here are usefully synthesizing a global picture, identifying country to country variation in spreading, and identifying countries most at risk. This analysis may factor into how best to track the effectiveness of social distancing policies and quarantines in real-time as data is updated each day.

scholarly journals SEO and Digital News Media: Visibility of Cultural Information in Spain’s Leading Newspapers

Tripodos ◽  
2021 ◽  
pp. 41-61
Author(s):  
Carlos Lopezosa ◽  
Lluís Codina ◽  
Mario Pérez-Montoro
Keyword(s):  
Comparative Analysis ◽  
News Media ◽  
Search Engines ◽  
Web Traffic ◽  
Social Signals ◽  
Digital News ◽  
The Media ◽  
Visibility Index ◽  
The Web ◽  
Digital Newspapers

This paper undertakes a comparative analysis of the visibility, and of other SEO indicators, of the culture sections of Spain’s leading digital newspapers —specifically, elmundo.es, elpais. com, lavanguardia.com, abc.es, el­confidencial.com and 20minutos.es— based on data collected by the media analytics company, comScore, and the web traffic metric, Alexa Rank. The analysis employs a set of positioning in­dicators: namely, a visibility index, keywords, social signals, keyword profiles, URLs, SERP-Snippets, reference domains and best anchor texts, as made availa­ble by SISTRIX, an SEO analytics audit toolbox. Thus, we were able to deter­mine which of the digital newspapers’ culture sections has the best visibility. Likewise, we were able to identify which of these media are best positioned on Google, presumably as a result of more effective positioning strategies. We con­clude with a discussion of our results and, on the basis of these findings, re­commend ways in which the visibility of journalistic information can be optimi­sed in search engines.   SEO i cibermitjans: visibilitat de la informació cultural dels principals diaris d’Espanya Aquest article realitza una anàlisi com­parativa de visibilitat i altres indicadors SEO de la secció de cultura dels principals cibermitjans espanyols: elmundo.es, elpais.com, lavanguardia.com, abc. es, elconfidencial.com i 20minutos. es. Les anàlisis s’han dut a terme amb la utilització d’un conjunt d’indicadors de posicionament (visibilitat, paraules clau, senyals socials, paraules clau, url, snippets, dominis de referència i mi­llors textos àncora) utilitzant l’eina de auditoria i anàlisi de posicionament en cercadors, SISTRIX. Ens preguntem quin d’aquests mitjans té millor una secció de notícies culturals amb millor visibilitat. L’estudi dut a terme amb els indicadors seleccionats permet, d’aquesta manera, presentar una anàlisi comparativa del periodisme cultural i identificar quins d’aquests mitjans presenten millors posicions a Google, presumiblement, com a resultat d’estratègies de posicio­nament. Finalitzem amb una discussió dels resultats juntament amb unes re­comanacions finals per optimitzar la vi­sibilitat de la informació periodística en els cercadors.

Collaborative Filtering

2011 ◽  
pp. 151-163
Author(s):  
Tania Al. Kerkiri ◽  
Dimitris Konetas
Keyword(s):  
Social Networks ◽  
Mathematical Models ◽  
Public Participation ◽  
Collaborative Filtering ◽  
Intellectual Capital ◽  
Reputation Systems ◽  
Interactive Tools ◽  
New Generation ◽  
General Architecture ◽  
The Web

The interactive tools like blogs, wikis, et cetera, known under the commonly acceptable name Web2.0, led to a new generation of Internet services and applications such as social networks, recommendation systems, reputation systems, et cetera, allowing for public participation in the formation of the content of the Web, and at the same time fueling an explosion of information. This information is a widely available intellectual capital. Due to the opportunities that arise from the exploitation of this information, this chapter will i) present the rationale under which these systems function, ii) summarize and apply in an indicative manner the mathematical models used to handle this information, iii) propose a general architecture of these systems and iv) describe a hybrid multifaceted algorithm that exploits the capabilities arising from this information towards a personalized inference for a specific user. The result of this work is an indication of the capabilities that arise from further exploitation of these systems.

Methodology of Developing Mathematical Models with Fuzzy Logic Elements for Quality Indices Control

2013 ◽  
Vol 436 ◽  
pp. 374-381 ◽  
Author(s):  
Alexey Korchunov ◽  
Mikhail Chukin ◽  
Aleksandr Lysenin
Keyword(s):  
Fuzzy Logic ◽  
Mathematical Models ◽  
Preference Relation ◽  
Fuzzy Relation ◽  
Quality Indices ◽  
New Models ◽  
Acting Process ◽  
Metal Products ◽  
Process Operations ◽  
Fuzzy Logic Theory

Advantages of applying fuzzy logic theory to metal products quality indices control in development of new models and in improvement of acting process operations are shown. It is proved that it is appropriate to determine fuzzy relation as preference relation in process of handling products quality indices in process operations. Elaboration of algorithm of handling mathematical models with fuzzy logic elements to control quality indices is undertaken. Methodology of mathematical models development with fuzzy logic elements for metal products quality indices control is created. Process of metal products quality indices control on the basis of models with fuzzy logic elements is illustrated.

Sign in / Sign up

Export Citation Format

Share Document