Quantifying engagement with citations on Wikipedia
Wikipedia is one of the most visited sites on the Web and a common source of information
for many users. As an encyclopedia, Wikipedia was not conceived as a source of original …
for many users. As an encyclopedia, Wikipedia was not conceived as a source of original …
Mining missing hyperlinks from human navigation traces: A case study of Wikipedia
Hyperlinks are an essential feature of the World Wide Web. They are especially important for
online encyclopedias such as Wikipedia: an article can often only be understood in the …
online encyclopedias such as Wikipedia: an article can often only be understood in the …
How the structure of Wikipedia articles influences user navigation
In this work we study how people navigate the information network of Wikipedia and
investigate (i) free-form navigation by studying all clicks within the English Wikipedia over an …
investigate (i) free-form navigation by studying all clicks within the English Wikipedia over an …
What makes a link successful on wikipedia?
While a plethora of hypertext links exist on the Web, only a small amount of them are
regularly clicked. Starting from this observation, we set out to study large-scale click data …
regularly clicked. Starting from this observation, we set out to study large-scale click data …
A general centrality framework-based on node navigability
Centrality metrics are a popular tool in Network Science to identify important nodes within a
graph. We introduce the Potential Gain as a centrality measure that unifies many walk-based …
graph. We introduce the Potential Gain as a centrality measure that unifies many walk-based …
Improving website hyperlink structure using server logs
Good websites should be easy to navigate via hyperlinks, yet maintaining a high-quality link
structure is difficult. Identifying pairs of pages that should be linked may be hard for human …
structure is difficult. Identifying pairs of pages that should be linked may be hard for human …
Properties of vector embeddings in social networks
F Salehi Rizi, M Granitzer - Algorithms, 2017 - mdpi.com
Embedding social network data into a low-dimensional vector space has shown promising
performance for many real-world applications, such as node classification, node clustering …
performance for many real-world applications, such as node classification, node clustering …
Wikipedia reader navigation: When synthetic data is enough
Every day millions of people read Wikipedia. When navigating the vast space of available
topics using hyperlinks, readers describe trajectories on the article network. Understanding …
topics using hyperlinks, readers describe trajectories on the article network. Understanding …
Hypertext as a lens into interactive digital narrative
Interactive Narrative is blessed with a myriad of forms, this richness makes it hard to
compare IDN systems or to develop general theories and tools as each example can seem …
compare IDN systems or to develop general theories and tools as each example can seem …
Evaluating and improving navigability of Wikipedia: A comparative study of eight language editions
Wikipedia supports its users to reach a wide variety of goals: looking up facts, researching a
topic, making an edit or simply browsing to pass time. Some of these goals, such as the …
topic, making an edit or simply browsing to pass time. Some of these goals, such as the …