Twitter, a popular social media outlet, has evolved into a vast source of linguistic data, rich
with opinion, sentiment, and discussion. Due to the increasing popularity of Twitter, its …

The use of Project Gutenberg (PG) as a text corpus has been extremely popular in statistical
analysis of language for more than 25 years. However, in contrast to other major linguistic …

We explore the relationship between context and happiness scores in political tweets using
word co-occurrence networks, where nodes in the network are the words, and the weight of …

Physical manifestations of linguistic units include sources of variability due to factors of
speech production which are by definition excluded from counts of linguistic symbols. In this …

Misleading information is nothing new, yet its impacts seem only to grow. We investigate this
phenomenon in the context of social bots. Social bots are software agents that mimic …

With Zipf's law being originally and most famously observed for word frequency, it is
surprisingly limited in its applicability to human language, holding over no more than three to …

News media has long been an ecosystem of creation, reproduction, and critique, where
news outlets report on current events and add commentary to ongoing stories …

Complex systems often comprise many kinds of components which vary over many orders of
magnitude in size: Populations of cities in countries, individual and corporate wealth in …

Zipf's law, as a power-law regularity, confirms long-range correlations between the elements
in natural and artificial systems. In this article, this law is evaluated for one hundred live …

An important body of quantitative linguistics is constituted by a series of statistical laws about
language usage. Despite the importance of these linguistic laws, some of them are poorly …