Organic products like body care or food are trending in the market for their originality, nutritional value and long term benefits to its users consumers. Though this trend is observed we keen know about exact sentiments feelings of consumers while purchasing after using them. Are these successful building organic positive perception towards them? What trust reducing factors products? And many ...

In this thesis we provide a framework for a micro-blogging social network in an unstructured peer-topeer network. At a user level, a micro-blogging service provides (i) a means for publishing a microblog, (ii) a means to follow a micro-blogger, and (iii) a means to search for micro-blogs containing keywords. Since unstructured peer-to-peer networks do not bind either the data or the location of...

Online video, a ubiquitous, visual, and highly shareable medium, is well-suited to crossing geographic, cultural, and linguistic barriers. Trending videos in particular, by virtue of reaching a large number of viewers in a short span of time, are powerful as both influencers and indicators of international communication flows. In this work, we study a large set of videos trending across 57 nati...

Rypdal and Rypdal (RR) [1] assert that the hypothesized linking between the Sun and climate complexity, first suggested by Scafetta and West (SW) [2] and developed in subsequent publications [3–6], is not supported by data. However, RR employed Lévy Flight noise in their analysis instead of the Lévy Walk (LW) signal used by SW. In fact, RR focused on the statistics of increments while SW focuse...

Recent studies of reservoir-induced seismicity have led to a better understanding of the seismogenic crust. These studies reveal that many parts of the seismogenic crust are critically stressed and small strength changes induced by reservoir impoundment can lead to seismicity. In the vicinity of the reservoir impoundment causes an immediate undrained response to the loading, and a delayed respo...

User-generated content in social media can offer valuable insights into local trends, events, and topics of interest. However, navigating through the vast amounts of posts either to retrieve certain pieces of information or to obtain an overview of the existing content, is often a challenging and overwhelming task. In this work, we present μTOP, a system for detecting and summarizing locally tr...