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We investigate the structural patterns of the appearance and disappearance of links in dynamic knowledge networks. Human knowledge is nowadays increasingly created and curated online, in a collaborative and highly dynamic fashion. The knowledge thus created is interlinked in nature, and an important open task is to understand its temporal evolution. In this(More)
The prediction of graph evolution is an important and challenging problem in the analysis of networks and of the Web in particular. But while the appearance of new links is part of virtually every model of Web growth, the disappearance of links has received much less attention in the literature. To fill this gap, our approach DecLiNe (an acronym for Decay(More)
We investigate the "negative link" feature of social networks that allows users to tag other users as <i>foes</i> or as <i>distrusted</i> in addition to the usual <i>friend</i> and <i>trusted</i> links. To answer the question whether negative links have an added value for an online social network, we investigate the machine learning problem of predicting(More)
It has widely been observed that many public figures and in particular politicians use Twitter as a medium for communication with their fans or followers. However, Twitter is also used by public figures for communication among themselves, allowing Twitter to be used as a tool to observe the social network among such public figures -- a network which is(More)
Web application security is the major security concern for e-business and information sharing communities. Research showed that more than 75% attacks are being deployed at application layer and almost 90% applications are vulnerable to the attacks. This is due to the avoidance of security requirements during implementation by the developer because they are(More)
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