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Due to the rapid propagation of rumours in Online Social Networks (OSNs), identifying and understanding characteristic patterns, evolution and user behaviours behind this activity is essential. Yet, there are few tools that can support analysing rumours and activities of players in their propagation. In this paper we propose a visual analysis approach to(More)
This paper addresses an important and challenging issue as how best to model nonlinear asymmetric dynamics and cross-sectional heterogeneity, simultaneously, in the dynamic threshold panel data framework, in which both threshold variable and regressors are allowed to be endogenous. Depending on whether the threshold variable is strictly exogenous or not, we(More)
As the spread of rumours has been increasing every day in online social networks (OSNs), it is important to analyze and understand this phenomenon. Damage caused by the spread of rumours is difficult to handle without a full understanding of the dynamics behind it. One of the central steps of understanding rumour spread is to analyze who spread rumours(More)
"God is in the details."In the world of design, Ludwig Mies van der Rohe's famous dictum regarding the importance of details in one's work has been the mantra for designers in various professions from architecture to new media.But what if God is literally the detail?The Gospel Spectrum is an interactive application exploring the story of Jesus Christ, who(More)
Oxidized low-density lipoprotein (ox-LDL) incorporation into intimally resident vascular cells via scavenger receptors marks one of the early steps in atherosclerosis. Cellular apoptotic damage results from two major serial intracellular events: the binding and scavenger receptor-mediated uptake of oxidizable lipoproteins and the intracellular oxidative(More)
This paper describes our participation in the mobile notification and email digest tasks in the TREC 2015 Mircoblog track. The tasks are about monitoring Twitter stream and retrieving relevant tweets to users’ interest profiles. Interest profiles contain the description of a topic that the user is interested in receiving relevant posts in real-time. Our(More)
The spread of "rumours" in Online Social Networks (OSNs) has grown at an alarming rate. Consequently, there is an increasing need to improve understanding of the social and technological processes behind this trend. The first step in detecting rumours is to identify and extract memes, a unit of information that can be spread from person to person in OSNs.(More)