Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

This book evolved from a series of Ph. D. seminars presented to students both at Tsinghua
University in Bei**g and at the University of Illinois—Chicago. My lectures, in turn, grew out …

Likert response surveys are widely applied in marketing, public opinion polls,
epidemiological and economic disciplines. Theoretically, Likert map** from real-world …

Topic models are a useful and ubiquitous tool for understanding large corpora. However,
topic models are not perfect, and for many users in computational social science, digital …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

(57) ABSTRACT A new approach is proposed that contemplates systems and methods to
identify geographic locations of all social media content items retrieved form a social …

Traditional citation analysis has been widely applied to detect patterns of scientific
collaboration, map the landscapes of scholarly disciplines, assess the impact of research …

We present the nested Chinese restaurant process (nCRP), a stochastic process that
assigns probability distributions to ensembles of infinitely deep, infinitely branching trees …