Real-Time Classification of Twitter Trends

Social media users give rise to social trends as they share about common interests, which can be triggered by different reasons. In this work, we explore the types of triggers that spark trends on Twitter, introducing a typology with following four types: 'news', 'ongoing events', 'memes', and 'commemoratives'. While previous research has analyzed trending topics in a long term, we look at the earliest tweets that produce a trend, with the aim of categorizing trends early on. This would allow to provide a filtered subset of trends to end users. We analyze and experiment with a set of straightforward language-independent features based on the social spread of trends to categorize them into the introduced typology. Our method provides an efficient way to accurately categorize trending topics without need of external data, enabling news organizations to discover breaking news in real-time, or to quickly identify viral memes that might enrich marketing decisions, among others. The analysis of social features also reveals patterns associated with each type of trend, such as tweets about ongoing events being shorter as many were likely sent from mobile devices, or memes having more retweets originating from a few trend-setters.Comment: Pre-print of article accepted for publication in Journal of the American Society for Information Science and Technology copyright @ 2013 (American Society for Information Science and Technology

Infant mortality rates: Time trends and fractional integration

This paper examines the time trends in infant mortality rates in a number of countries in the 20th century. Rather than imposing that the error term is a stationary I(0) process, we allow for the possibility of fractional integration and hence for a much greater degree of flexibility in the dynamic specification of the series. Indeed, once the linear trend is removed, all series appear to be I(d) with d > 0 rather than I(0), implying longrange dependence. As expected, the time trend coefficients are significantly negative, although of a different magnitude from to those obtained assuming I(0) disturbances

Empirical Study of the 1-2-3 Trend Indicator

In this paper we study automatically recognized trends and investigate their statistics. To do that we introduce the notion of a wavelength for time series via cross correlation and use this wavelength to calibrate the 1-2-3 trend indicator of Maier-Paape [Automatic One Two Three, Quantitative Finance, 2013] to automatically find trends. Extensive statistics are reported for EUR-USD, DAX-Future, Gold and Crude Oil regarding e.g. the dynamic, duration and extension of trends on different time scales.Comment: 21 pages, 13 figures, 5 tables; Keywords: market technical trends, automatic trend analysis, wavelength of time series, autocorrelatio

Decent working time: New trends, new issues.

Includes selected papers from the 9th International Symposium on Working Time, Paris (2004), looking at the increasing use of results-based employment relationships for managers and professionals, and the increasing fragmentation of time to more closely tailor staffing needs to customer requirements (e.g., short-hours, part-time work). Moreover, as operating/opening hours rapidly expand toward a 24-hour and 7-day economy, the book considers how this has resulted in a growing diversification, decentralization, and individualization of working hours, as well as an increasing tension between enterprises' business requirements and workers' needs and preferences regarding their hours. It addresses issues such as increasing employment insecurity and instability, time-related social inequalities, particularly in relation to gender, workers' ability to balance their paid work with their personal lives, and the synchronization of working hours with social times, such as community activities. In addition, the book offers suggestions on how policy-makers, academics, and the social partners can together help further develop effective policies for advancing "decent working timeRéduction du temps de travail; Aménagement du temps de travail; Horaires de travail; Labor laws and legislation; Developed countries; Trend; Arrangement of working time; Flexible hours of work; Hours of work;

Time Trends for Livestock Production in Saskatchewan, Canada: 1905-2011

Saskatchewan, Canada, with a total land area of 651,900 km^2^, is one of the world’s most productive agricultural regions. A broad variety of livestock are raised in the province, including cattle, pigs, poultry, sheep/goats, llama, ostrich, elk, deer, and bison. In 2010, the total revenue from the Saskatchewan livestock sector was CAD$1.6 billion. Over the past century, changing industry economics and advances in scientific, technical, and engineering knowledge and practices have affected the amount and type of livestock produced. The current work examines time trends for livestock production since Saskatchewan was created in 1905. While production trends vary widely by livestock type, most sectors display clearly increasing amounts of industry consolidation over time, warranting more detailed investigations into the socio-economical and technological drivers behind such changes

Trends in wages, underemployment, and mobility among part-time workers

This study examines three trends in the labor market experiences of part-time workers: (1) trends in real earnings; (2) trends in the extent of involuntary part-time work (underemployment); and (3) trends in the rate of exit from part-time work. Data are from Current Populating Surveys from the 1970s and 1980s. It considers whether observed changes in the position of part-time workers are due to changes in the attributes of part-time workers, the occupational and industrial location of part-time jobs, the process of selectivity into part-time employment, or changes in the returns to these factors. The questions addressed in this study have significant implications for research on poverty because, unless supplemented by other family earners, the low earnings levels of part-time job holders make them vulnerable to poverty and dependency.