Topic
Server log
About: Server log is a research topic. Over the lifetime, 320 publications have been published within this topic receiving 4525 citations. The topic is also known as: log file.
Papers published on a yearly basis
Papers
TL;DR: The categorical self- report measure asking respondents to estimate “how often” they use their mobile phones fared better than the continuous self-report measure asking them to estimate their mobile phone activity “yesterday.”
Abstract: Approximately 40% of mobile phone use studies published in scholarly communication journals base their findings on self-report data about how frequently respondents use their mobile phones. Using a subset of a larger representative sample we examine the validity of this type of self-report data by comparing it to server log data. The self-report data correlate only moderately with the server log data, indicating low criterion validity. The categorical self-report measure asking respondents to estimate “how often” they use their mobile phones fared better than the continuous self-report measure asking them to estimate their mobile phone activity “yesterday.” A multivariate exploratory analysis further suggests that it may be difficult to identify under- and overreporting using demographic variables alone.
458 citations
26 Apr 2014
TL;DR: Facebook has a greater impact on non-family relationships and ties who do not frequently communicate via other channels, and the effect is greater for composed pieces than for 'one-click' actions such as 'likes.'
Abstract: Scientists debate whether people grow closer to their friends through social networking sites like Facebook, whether those sites displace more meaningful interaction, or whether they simply reflect existing ties. Combining server log analysis and longitudinal surveys of 3,649 Facebook users reporting on relationships with 26,134 friends, we find that communication on the site is associated with changes in reported relationship closeness, over and above effects attributable to their face-to-face, phone, and email contact. Tie strength increases with both one-on-one communication, such as posts, comments, and messages, and through reading friends' broadcasted content, such as status updates and photos. The effect is greater for composed pieces, such as comments, posts, and messages than for 'one-click' actions such as 'likes.' Facebook has a greater impact on non-family relationships and ties who do not frequently communicate via other channels.
288 citations
TL;DR: The Sci-Hub data provide the first detailed view of what is becoming the world's de facto open-access research library, and among the revelations that may surprise both fans and foes alike: Sci- hub users are not limited to the developing world.
Abstract: In increasing numbers, researchers around the world are turning to Sci-Hub, the controversial website that hosts 50 million pirated papers and counting. Now, with server log data from Alexandra Elbakyan, the neuroscientist who created Sci-Hub in 2011 as a 22-year-old graduate student in Kazakhstan, Science addresses some basic questions: Who are Sci-Hub9s users, where are they, and what are they reading? The Sci-Hub data provide the first detailed view of what is becoming the world9s de facto open-access research library. Among the revelations that may surprise both fans and foes alike: Sci-Hub users are not limited to the developing world. Some critics of Sci-Hub have complained that many users can access the same papers through their libraries but turn to Sci-Hub instead—for convenience rather than necessity. The data provide some support for that claim. Over the 6 months leading up to March, Sci-Hub served up 28 million documents, with Iran, China, India, Russia, and the United States the leading requestors.
250 citations
IBM1
TL;DR: The design of SpeedTracer is described and some of its features are demonstrated with a few sample reports, helping the understanding of user surfing behavior.
Abstract: SpeedTracer, a World Wide Web usage mining and analysis tool, was developed to understand user surfing behavior by exploring the Web server log files with data mining techniques. As the popularity of the Web has exploded, there is a strong desire to understand user surfing behavior. However, it is difficult to perform user-oriented data mining and analysis directly on the server log files because they tend to be ambiguous and incomplete. With innovative algorithms, SpeedTracer first identifies user sessions by reconstructing user traversal paths. It does not require “cookies” or user registration for session identification. User privacy is protected. Once user sessions are identified, data mining algorithms are then applied to discover the most common traversal paths and groups of pages frequently visited together. Important user browsing patterns are manifested through the frequent traversal paths and page groups, helping the understanding of user surfing behavior. Three types of reports are prepared: user-based reports, path-based reports and group-based reports. In this paper, we describe the design of SpeedTracer and demonstrate some of its features with a few sample reports.
181 citations
TL;DR: Using data from the Security and Exchange Commission's Electronic Data Gathering and Retrieval (EDGAR) server log, the authors examined the consumption of financial information in filings from 2003 to 2006.
Abstract: Using data from the Security and Exchange Commission's Electronic Data Gathering and Retrieval (EDGAR) server log, the authors examine the consumption of financial information in filings from 2003 ...
174 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 8 |
| 2020 | 10 |
| 2019 | 22 |
| 2018 | 23 |
| 2017 | 17 |
| 2016 | 18 |