An Approach to Evaluate the Impact of Web Traffic in Web Positioning

2010 ◽  
pp. 380-389
Author(s):  
Paweł Kowalski ◽  
Dariusz Król
Keyword(s):  
Web Traffic ◽  
The Impact

scholarly journals Angry Apps: The Impact of Network Timer Selection on Power Consumption, Signalling Load, and Web QoE

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Christian Schwartz ◽  
Tobias Hoßfeld ◽  
Frank Lehrieder ◽  
Phuoc Tran-Gia
Keyword(s):  
Power Consumption ◽  
Mobile Applications ◽  
Mobile Network ◽  
Web Pages ◽  
Web Traffic ◽  
Traffic Characteristics ◽  
Wide Range ◽  
Determining Factors ◽  
The Impact

The popularity of smartphones and mobile applications has experienced a considerable growth during the recent years, and this growth is expected to continue in the future. Since smartphones have only very limited energy resources, battery efficiency is one of the determining factors for a good user experience. Therefore, some smartphones tear down connectionsto the mobile network soon after a completed data transmission to reduce the power consumption of their transmission unit. However, frequent connection reestablishments caused by apps which send or receive small amounts of data often lead to a heavy signalling load within the mobile network. One of the major contributions of this paper is the investigation of the resulting tradeoff between energy consumption at the smartphone and the generated signalling traffic in the mobile network. We explain that this tradeoff can be controlled by the connection release timeout and study the impact of this parameter for a number of popular apps that cover a wide range of traffic characteristics in terms of bandwidth requirements and resulting signalling traffic. Finally, we study the impact of the timer settings on Quality of Experience (QoE) for web traffic. This is an important aspect since connection establishments not only lead to signalling traffic but also increase the load time of web pages.

Using a Media Campaign to Increase Engagement With a Mobile-Based Youth Smoking Cessation Program

2017 ◽  
Vol 32 (5) ◽  
pp. 1273-1279 ◽  
Author(s):  
Amy Sanders ◽  
Cendrine Robinson ◽  
Shani C. Taylor ◽  
Samantha D. Post ◽  
Jeffrey Goldfarb ◽  
...  
Keyword(s):  
Social Media ◽  
Smoking Cessation ◽  
Cost Effective ◽  
Smoking Cessation Program ◽  
Youth Smoking ◽  
Web Traffic ◽  
Campaign Strategies ◽  
Adolescent Smokers ◽  
Cost Effective Approach ◽  
The Impact

Purpose: To describe the impact of the National Cancer Institute’s promotion of its youth smoking cessation program, Smokefree Teen (SFT). Design: We provide a description of campaign strategies and outcomes as a means to engage a teen audience in cessation resources using a cost-effective approach. Setting: The campaign occurred nationally, using traditional (TV and radio), online, and social media outreach. Participants: Ads targeted adolescent smokers (aged 14-17). The baseline population was 42 586 and increased to 464 357 during the campaign. Measures: Metrics used to assess outcomes include (1) visits to SFT website from traditional and online ads, (2) cost to get an online ad clicked (cost-per-click), and (3) SmokefreeTXT program enrollments during the 8-week campaign period. Analysis: We conducted a quantitative performance review of all tactics. Results: The SFT campaign achieved an online ad click-through rate of 0.33%, exceeding industry averages of 0.15%. Overall, web traffic to teen.smokefree.gov increased by 980%, and the online cost-per-click for ads, including social media actions, was approximately $1 as compared with $107 for traditional ads. Additionally, the campaign increased the SmokefreeTXT program teen sign-ups by 1334%. Conclusion: The campaign increased engagement with evidence-informed cessation resources for teen smokers. Results show the potential of using multiple, online channels to help increase engagement with core resources.

A new transnational arena? An analysis of cross-border web traffic towards professional online news sites in the Arab world

2019 ◽  
Vol 12 (2) ◽  
pp. 145-167 ◽  
Author(s):  
Andrea Haeuptli
Keyword(s):  
United Arab Emirates ◽  
Arab World ◽  
Online News ◽  
Arab Countries ◽  
Traffic Flows ◽  
Web Traffic ◽  
Cross Border ◽  
News Sources ◽  
Leading Role ◽  
The Impact

In recent years, Arab news industries have been confronted with an unparalleled increase in demand for journalistic offers. In parallel, Internet penetration throughout the Arab world has increased significantly, leading to a shift of consumption away from traditional channels towards the digital realm. This article addresses the impact of those recent developments on a shared transnational communicative arena throughout the Arab world. It includes geographically disaggregated traffic data of 630 inductively collected professional online news sources. Using a network analysis approach, it has been assessed that indeed, cross-border consumption of professional online news is a common and general feature in the region. Traffic flows between the countries are highly diversified without patterns of sub-segmentation. At the same time, the strength of traffic flows reflects the traditional leading role of the media industries in the United Arab Emirates, Egypt, Saudi Arabia and Qatar. Yet, weaker traffic flows between the other Arab countries are common and diverse, leading to a high overall integration of the Arab transnational communicative arena within the digital realm.

scholarly journals More DOIs are Accessed Through Library Discovery Services than Through Google

2019 ◽  
Vol 14 (2) ◽  
pp. 134-136
Author(s):  
Judith Logan
Keyword(s):  
The United States ◽  
Digital Object Identifier ◽  
Seasonal Adjustment ◽  
Traffic Patterns ◽  
Web Traffic ◽  
Web Tool ◽  
Academic Librarianship ◽  
The University ◽  
The Impact ◽  
Observation Period

A Review of: Wang, X., Cui, Y., & Xu, S. (2018). Evaluating the impact of web-scale discovery services on scholarly content seeking. The Journal of Academic Librarianship, 44(5), 545-552. https://doi.org/10.1016/j.acalib.2018.05.010 Abstract Objective – To examine trends in digital object identifier (DOI) web referrals and explore the referring domains, especially those originating from web-scale discovery systems like ProQuest’s Summon and Primo. Design – Log analysis and web traffic analysis. Setting – CrossRef, a web server that connects DOIs to the corresponding articles’ landing pages. Subjects – Web traffic that passed through CrossRef between 2011 and 2016. Methods – The researchers collected data from CrossRef using a web tool called Chronograph. The data captured information about the websites users were on when they requested a DOI (called the referrer) and about the time and date of each request. The researchers used time series analysis to discover longitudinal patterns in the data. Annual, monthly, and weekly trends were also examined with a seasonal adjustment model, a seasonal trend decomposition, and log transformation. They also isolated traffic from four institutions in Australia, Japan, Sweden, and the United States of America to determine if overall seasonal patterns were reflected locally. ProQuest websites were of particular interest to the researchers because they determined that it had the highest market share of discovery services. Much of the analysis focused on ProQuest’s serialsolutions.com, exlibrisgroup.com, and proquest.com website domains. Main Results – ProQuest servers sent over 25 million DOI referrals through CrossRef – more than either Web of Knowledge (n=24.47 million) or Google (n=15.38 million). Referral traffic grew over the period with the sharpest growth rate occurring between 2011 and 2012. Of ProQuest’s domains, serialsolutions.com (Summon) had more traffic and more growth over the observation period than exlibrisgroup.com (Primo). In all of the years studied, the busiest months were September to November and January to March, while June to August and December were low points. Seasonal fluctuations were attributed to university vacation schedules as demonstrated in the traffic patterns of four ProQuest-subscribing institutions. Weekly trend analysis showed that Monday to Thursday had consistently heavy referral traffic. Of the remaining days, the fewest referrals were observed on Saturdays. Conclusion – DOI referrer traffic is closely tied to the university calendar. Library discovery products are used more frequently to access DOIs than Google.

scholarly journals Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing Behaviour

2020 ◽  
Vol 13 (8) ◽  
pp. 166 ◽  
Author(s):  
Mary Loxton ◽  
Robert Truskett ◽  
Brigitte Scarf ◽  
Laura Sindone ◽  
George Baldry ◽  
...  
Keyword(s):  
Durable Goods ◽  
Consumer Behaviour ◽  
Global Scale ◽  
The Body ◽  
Web Traffic ◽  
Consumer Spending ◽  
Discretionary Spending ◽  
The Media ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus (COVID-19) pandemic spread globally from its outbreak in China in early 2020, negatively affecting economies and industries on a global scale. In line with historic crises and shock events including the 2002-04 SARS outbreak, the 2011 Christchurch earthquake and 2017 Hurricane Irma, COVID-19 has significantly impacted global economic conditions, causing significant economic downturns, company and industry failures, and increased unemployment. To understand how conditions created by the pandemic to date compare to the aforementioned shock events, we conducted a thorough literature review focusing on the presentation of panic buying and herd mentality behaviours, changes to discretionary consumer spending as defined by Maslow’s Hierarchy of Needs, and the impact of global media on these behaviours. The methodology utilised to analyse panic buying, herd mentality and altered patterns of consumer discretionary spending (according to Maslow’s theory) involved an analysis of consumer spending data, largely focused on Australian and American markets. Here, we analysed the volume and timing of consumer spending patterns; the volumes of spending on specific, highly-demanded consumer goods during the investigative period; and the distribution of spending on luxury and non-durable goods to identify the occurrence of these consumer behaviours. Moreover, to identify the presence of the media in influencing consumer behaviour we focused on web traffic to media sites, alongside keyword and phrase data mining. We conclude that, to date, consumer behaviour during the COVID-19 crisis appears to align with behaviours exhibited during historic shock events. We hope to contribute to the body of research on the early months of this pandemic before longer-term studies are available.

Too Close for Comfort: Morasses of (Anti-) Censorship in the Era of CDNs

2021 ◽  
Vol 2021 (2) ◽  
pp. 173-193
Author(s):  
Devashish Gosain ◽  
Mayank Mohindra ◽  
Sambuddho Chakravarty
Keyword(s):  
Empirical Study ◽  
Distribution Networks ◽  
The Other ◽  
Nation State ◽  
Content Distribution Networks ◽  
Web Content ◽  
Web Traffic ◽  
Nation States ◽  
The Impact ◽  
Country Specific

Abstract Recent research claims that “powerful” nation-states may be hegemonic over significant web traffic of “underserved” nations (e.g., Brazil and India). Such traffic may be surveilled when transiting (or ending in) these powerful nations. On the other hand, content distribution networks (CDNs) are designed to bring web content closer to end-users. Thus it is natural to ask whether CDNs have led to the localization of Internet traffic within the country’s boundary, challenging the notion of nation-state hegemony. Further, such traffic localization may inadvertently enhance a country’s ability to coerce content providers to censor (or monitor) access within its boundary. On top of that, the obvious solution, i.e., anti-censorship approaches, may sadly face a new dilemma. Traditional ones, relying on proxies, are easily discoverable. Whereas newer ones (e.g., Decoy Routing, Cache-Browser, Domain Fronting and CovertCast etc.) might not work as they require accessing web content hosted outside the censors’ boundary. We thus quantitatively analyzed the impact of web content localization on various anti-censorship systems. Such analysis requires geolocating the websites. Thus we adapted a multilateration method, Constraint Based Geolocation (CBG), with additional heuristics. We call it as Region Specific CBG (R-CBG). In more than 89% cases, R-CBG correctly classifies hosts as inside (or outside) w.r.t. a nation. Our empirical study, involving five countries, shows that the majority (61%−92%) of popular country-specific websites are hosted within a client’s own country. Further, additional heuristics classify the majority of them to be on CDNs.

The Political Economy of Personalization

2018 ◽  
pp. 38-61
Author(s):  
Matthew Hindman
Keyword(s):  
Detailed Examination ◽  
Online News ◽  
The Political ◽  
Web Traffic ◽  
News Stories ◽  
Systems Research ◽  
New Knowledge ◽  
Media Organizations ◽  
The Right ◽  
The Impact

This chapter offers both a more detailed examination of the principles behind the recommendation systems and examines the comparative impact of these technologies across media organizations. Recommender systems research has changed dramatically over the past decade, but little of this new knowledge has filtered into research on web traffic, online news, or the future of journalism. Scholarship to date has focused on the impact of these technologies for an individual web user or an adopting media firm. But there has been little exploration of the wholesale effects of these changes not only within news and media organizations, but also with regard to competition between them. In addition, this chapter takes a detailed look at the Netflix Prize—a contest with surprising lessons even for those who do not care about movies. As it turns out, the task of recommending the right movie is similar to recommending almost anything—predicting which songs users like, which ads they prefer, which news stories they engage with.

scholarly journals Enhancing Content Discovery of Open Repositories: An Analytics-Based Evaluation of Repository Optimizations

Publications ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 8
Author(s):  
George Macgregor
Keyword(s):  
Statistical Significance ◽  
User Engagement ◽  
Web Traffic ◽  
Development Path ◽  
Content Discovery ◽  
Discovery Potential ◽  
The University ◽  
The Impact ◽  
Longitudinal Dataset

Ensuring open repositories fulfil the discovery needs of both human and machine users is of growing importance and essential to validate the continued relevance of open repositories to users, and as nodes within open scholarly communication infrastructure. Following positive preliminary results reported elsewhere, this submission analyses the longer-term impact of a series of discovery optimization approaches deployed on an open repository. These approaches were designed to enhance content discovery and user engagement, thereby improving content usage. Using Strathprints, the University of Strathclyde repository as a case study, this article will briefly review the techniques and technical changes implemented and evaluate the impact of these changes by studying analytics relating to web impact, COUNTER usage and web traffic over a 4-year period. The principal contribution of the article is to report on the insights this longitudinal dataset provides about repository visibility and discoverability, and to deliver robust conclusions which can inform similar strategies at other institutions. Analysis of the unique longitudinal dataset provides persuasive evidence that specific enhancements to the technical configuration of a repository can generate substantial improvements in its content discovery potential and ergo its content usage, especially over several years. In this case study, COUNTER usage grew by 62%. Increases in Google ‘impressions’ (266%) and ‘clicks’ (104%) were a notable finding too, with high levels of statistical significance found in the correlation between clicks and usage ( t = 14.30 , df = 11 , p < 0.0005 ). Web traffic to Strathprints from Google and Google Scholar (GS) was found to increase significantly with growth on some metrics exceeding 1300%. Although some of these results warrant further research, the article nevertheless demonstrates the link between repository optimization and the need for open repositories to assume a proactive development path, especially one that prioritises web impact and discovery.

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