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A query burst is a period of heightened interest of users on a topic which yields a higher frequency of the search queries related to it. In this paper we examine the behavior of search engine users during a query burst, compared to before and after this period. The purpose of this study is to get insights about how search engines and content providers should respond to a query burst. We analyze one year of web-search logs, looking at query bursts from two perspectives. First, we adopt the user's perspective describing changes in user's effort and interest while searching. Second, we look at the burst from the general content providers' view, answering the question of under which conditions a content provider should ``ride'' a wave of increased interest to obtain a significant share of clicks.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |