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Abstract: Random graph generation techniques provide an invaluable tool for studying graph related concepts. Unfortunately, traditional random graph models tend to produce artificial representations ...

Abstract: Random walk based graph sampling has been recognized as a fundamental technique to collect uniform node samples from a large graph. In this paper, we first present a comprehensive analysis ...

We introduce a social media text normalization system that can be deployed as a preprocessing step for Machine Translation and various NLP applications to handle social media text. The proposed system ...

ABSTRACT: The increasing popularity of social media in recent years has created new opportunities to study the interactions of different groups of people. Never before have so many data about such a ...