With the ever-increasing importance of computer-mediated communication in our everyday
life, understanding the effects of social influence in online social networks has become a …

Social network analysis has created novel opportunities within the field of data science. The
complexity of these networks requires new techniques to optimize the extraction of useful …

Social network analysis is an interdisciplinary topic attracting researchers from biology,
economics, psychology, and machine learning, with an existing long history based on graph …

Abstract Online Social Network's (OSN) considered a spark that burst the Big Data era. The
unfolding of every event, breaking new or trend flows in real time inside OSN triggering a …

It's by now folklore that to understand the activity pattern of a user in an online social network
(OSN) platform, one needs to look at his friends or the ones he follows. The common …

The advent of social media has facilitated the study of information diffusion, user interaction
and user influence over social networks. The research on analyzing information spreading …

The emergence and popularization of online social networks suddenly made available a
large amount of data from social organization, interaction and human behavior. All this …

Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …

Leverage the power of Python to collect, process, and mine deep insights from social media
data About This Book Acquire data from various social media platforms such as Facebook …

This paper explains the design of a social network analysis framework, developed under
DARPA's SocialSim program, with novel architecture that models human emotional …