Periodic Behavior can be seen Through People’s Collective Behavior Using Big Data

Big Data has been used for collecting people’s behavior by analyzing historical and modern news through social media and Wikipedia views. It has been found through research that strong periodic patterns are seen while analyzing these data. This has only been possible through the use of Big Data as otherwise these data would have gone unnoticed.

The University of Bristol’s ThinkBIG project has earlier published two papers analyzing daily news and consumption of media also investigated historical newspapers. It was found that people’s collective behavior is more predictable than previously thought. These results can only be formed by analyzing a large number of people through a period of time.

The Big Data term refers to data sets which are large, complex and even many data processing applications  are unable to deal with them. The Big Data also refers to advanced  data analytics methods that extract value from data and marginalizes the given data. The Use of Big Data is wide spread from spotting business trends too preventing diseases.

Professor Nello Cristianini who is leading ThinkBIG project has said, “Using these Data, we can understand and take an unprecedented look at our collective behavior, revealing cycles that we certainly suspected, but that has never been observed before.”

She further added, “ First Paper which was published in PLOS ONE, we had analyzed 87 years of US and UK newspapers between 1836 and 1922. Our researchers have found out that news changes according to weather and seasons.” For example words like picnic and vacations were found in summer seasons in the UK and US. Increasingly the word TV has replaced weather which majorly influenced peoples lives.

Second paper which will publish in 2016 IEEE International Conference on Data Mining (ICDM) in Barcelona, Spain, will discuss about the sentiment of people in different weather on Twitter in the UK, plus aggregate Wikipedia access over four years. It further discusses the  effects of weather on peoples mental condition.

With use of Big Data, we might just unfold mysteries of human behavioral tendencies.