scholarly journals Mapping an audience-centric World Wide Web: A departure from hyperlink analysis

2016 ◽  
Vol 19 (9) ◽  
pp. 1331-1348 ◽  
Author(s):  
Harsh Taneja

This article argues that maps of the Web’s structure based solely on technical infrastructure such as hyperlinks may bear little resemblance to maps based on Web usage, as cultural factors drive the latter to a larger extent. To test this thesis, the study constructs two network maps of 1000 globally most popular Web domains, one based on hyperlinks and the other using an “audience-centric” approach with ties based on shared audience traffic between these domains. Analyses of the two networks reveal that unlike the centralized structure of the hyperlink network with few dominant “core” Websites, the audience network is more decentralized and clustered to a larger extent along geo-linguistic lines.

2003 ◽  
Vol 92 (3_suppl) ◽  
pp. 1091-1096 ◽  
Author(s):  
Nobuhiko Fujihara ◽  
Asako Miura

The influences of task type on search of the World Wide Web using search engines without limitation of search domain were investigated. 9 graduate and undergraduate students studying psychology (1 woman and 8 men, M age = 25.0 yr., SD = 2.1) participated. Their performance to manipulate the search engines on a closed task with only one answer were compared with their performance on an open task with several possible answers. Analysis showed that the number of actions was larger for the closed task ( M = 91) than for the open task ( M = 46.1). Behaviors such as selection of keywords (averages were 7.9% of all actions for the closed task and 16.7% for the open task) and pressing of the browser's back button (averages were 40.3% of all actions for the closed task and 29.6% for the open task) were also different. On the other hand, behaviors such as selection of hyperlinks, pressing of the home button, and number of browsed pages were similar for both tasks. Search behaviors were influenced by task type when the students searched for information without limitation placed on the information sources.


2005 ◽  
Vol 3 (1) ◽  
pp. 173-185 ◽  
Author(s):  
Fathilatul Zakimi Abdul Hamid ◽  
MD Suhaimi MD Salleh

The main objective of this study is to extend the prior research in Investor relations information and communication through World Wide Web, by looking into the variation of investor information located at the Malaysian corporate website to the factors thought to influence the disclosure level. This study revealed that company size and industry classification was found significantly has positive association with the existence of investor information in the corporate website. On the other hand, for profitability and foreign ownership variables, result show insignificant relationship. The descriptive result may indicate that Malaysian companies may not take the opportunity to communicate with investors and stakeholders via internet, and choose the present traditional communication as what required by law. Another explanation is that, Malaysian companies may be complacent with the current traditional IR communications with institutional investors and funds managers in which this group are indeed familiar with how these Malaysian firms are operating.


Author(s):  
Jan Panero Benway

Web designers attempt to draw attention to important links by making them distinctive. However, when users are asked to find specific items, they often overlook these distinctive banners. The irony of “banner blindness” is that the user who really wants to find the information the designer has highlighted is not likely to do so. In the experiments reported here, banner blindness is reproduced under controlled conditions. Banners located higher on the page and therefore further from the other page links were missed more often than banners located lower on the page and closer to the other links. Banners were missed more often when located on pages containing links to categories than when located on pages with links to specific items. Users saw banners hardly at all when clicking a banner was not required to accomplish a task.


Author(s):  
Wen-Chen Hu ◽  
Hung-Jen Yang ◽  
Chung-wei Lee ◽  
Jyh-haw Yeh

World Wide Web data mining includes content mining, hyperlink structure mining, and usage mining. All three approaches attempt to extract knowledge from the Web, produce some useful results from the knowledge extracted, and apply the results to certain real-world problems. The first two apply the data mining techniques to Web page contents and hyperlink structures, respectively. The third approach, Web usage mining (the theme of this article), is the application of data mining techniques to the usage logs of large Web data repositories in order to produce results that can be applied to many practical subjects, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, and so forth. This article provides a survey and analysis of current Web usage mining technologies and systems. A Web usage mining system must be able to perform five major functions: (i) data gathering, (ii) data preparation, (iii) navigation pattern discovery, (iv) pattern analysis and visualization, and (v) pattern applications. Many Web usage mining technologies have been proposed, and each technology employs a different approach. This article first describes a generalized Web usage mining system, which includes five individual functions. Each system function is then explained and analyzed in detail. Related surveys of Web usage mining techniques also can be found in Hu, et al. (2003) and Kosala and Blockeel (2000).


Author(s):  
Murugan Anandarajan

The ubiquitous nature of the World Wide Web (commonly known as the Web) is dramatically revolutionizing the manner in which organizations and individuals alike acquire and distribute information. Recent reports from the International Data Group indicate that the number of people on the Internet will reach 320 million by the year 2002 (Needle, 1999). Studies also indicate that in the United States alone, Web commerce will account for approximately $325 billion by the year 2002.


2000 ◽  
Vol 30 (1) ◽  
pp. 83-100 ◽  
Author(s):  
Waiman Cheung ◽  
Man Kit Chang ◽  
Vincent S Lai
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