Along with the explosive growth of the phenomenon Online Social Networks (OSN),
identifying influential users in OSN has received a great deal of attention in recent years …

Social networks are playing a vibrant role in spreading information among its users. With the
ongoing boom in technology, social networks are becoming very popular nowadays and are …

Identification of important nodes in complex networks has attracted an increasing attention
over the last decade. Various measures have been proposed to characterize the importance …

Efficient identification of influential nodes is one of the essential aspects in the field of
complex networks, which has excellent theoretical and practical significance in the real …

It is well known that protein-protein interaction (PPI) networks are typical evolving complex
networks. Identification of important nodes has been an emerging popular topic in complex …

In communication networks, cyber attacks, such as resource depleting attacks, can cause
failure of nodes and can damage or significantly slow down the convergence of the average …

There are certain contexts, where we would like to analyze the behavior of small interacting
systems, such as sports teams. While large interacting systems have drawn much attention …

Abstract Principal Component Analysis (PCA) is a central tool for analyzing data and social
media data in particular. Typically, the data is projected on the first two PCs to obtain a …

In this work we ask to which extent are simple statistics useful to make sense of social media
data. By simple statistics we mean counting and bookkeeping type features such as the …

Social network and publishing platforms, such as Twitter, support the concept of a secret
proprietary verification process, for handles they deem worthy of platform-wide public …