Tawan Surachawala

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Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous, and also given researchers access to massive quantities of data for empirical analysis. These data sets offer a rich(More)
Is the random walk appropriate for modeling and analyzing social processes? We argue that many interesting social phenomena, including epidemics and information diffusion, cannot be modeled as a random walk, but instead must be modeled as broadcast-based or non-conservative diffusion. To produce meaningful results, social network analysis algorithms have to(More)
Twitter is used for a variety of reasons, including information dissemination, marketing, political organizing and to spread propaganda, spamming, promotion, conversations, and so on. Characterizing these activities and categorizing associated user generated content is a challenging task. We present a information-theoretic approach to classification of user(More)
Social scientists have long recognized the importance of social networks in the spread of information [Granovetter 1973], products [Brown and Reingen 1987; Watts and Dodds 2007], and innovation [Rogers 2003]. Modern communications technologies, notably email and more recently social media, have only enhanced the role of networks in marketing [Domingos and(More)
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