| Description |
1 online resource (22 pages) : color illustrations. |
|
text file PDF |
| Physical Medium |
polychrome |
| Series |
Rand Corporation research report series ; RR-1197-A
|
|
Research report (Rand Corporation) ; RR-1197-A.
|
| Note |
Series from web site. |
|
"Arroyo Center." |
| Bibliography |
Includes bibliographical references (pages 21-22). |
| Contents |
Introduction -- What is big data? -- What can internet search data tell us about attitudes and trends? -- Internet search data : three publicly available analytic tools and Army-relevant examples -- Implications and future work -- Tips, tricks, and other considerations. |
| Summary |
"This report assesses empirical applications of web search data and discusses the prospective value such data can offer Army recruiting efforts. The authors examine three different tools -- Google Trends, Google AdWords, and Google Correlate -- that can be used to access and analyze readily available, anonymous data from Internet searches related to the Army and to Army service. They found that Google search queries can inform how interest in military careers has evolved over time and by geographic location and can identify the foremost Army-related concerns that potential recruits have. Moreover, by analyzing how search terms correlate across time, it is possible to predict with reasonable accuracy what non-Army related terms people are searching for in the months before or after an Army query. These queries serve as leading and lagging indicators of army-related searches and can offer a glimpse into the concerns of individuals near the time period when they are considering joining. The results suggest that search terms can serve as an indicator of propensity and can be incorporated into models to predict highly qualified Army accessions"--Publisher's web site. |
| Local Note |
JSTOR Books at JSTOR Open Access |
| Subject |
United States. Army -- Recruiting, enlistment, etc.
|
|
United States. Army. |
|
United States. Army -- Data processing.
|
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Recruiting and enlistment -- Data processing.
|
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Recruiting and enlistment -- Data processing. |
|
Recruiting and enlistment. |
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Big data.
|
|
Big data. |
| Genre/Form |
Electronic books.
|
| Added Author |
Wenger, Jennie W., author.
|
|
Yeung, Douglas, author.
|
|
Arroyo Center, issuing body.
|
|
Rand Corporation, publisher.
|
| ISBN |
9780833094445 (electronic book) |
|
0833094440 (electronic book) |
|
9780833094148 |
|
0833094149 |
|
