Applied Network Science
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Examining the importance of existing relationships for co-offending: a temporal network analysis in Bogotá, Colombia (2005–2018)
Applied Network Science - Tập 8 - Trang 1-31 - 2023
This study aims to improve our understanding of criminal accomplice selection by
studying the evolution of co-offending networks—i.e., networks that connect
those who commit crimes together. To this end, we tested four growth mechanisms
(popularity, reinforcement, reciprocity, and triadic closure) on three
components observed in a network connecting criminal investigations ( $$M =
286$$ K) with ad...
Incorporating dynamic flight network in SEIR to model mobility between populations
Applied Network Science - Tập 6 - Trang 1-24 - 2021
Current efforts of modelling COVID-19 are often based on the standard
compartmental models such as SEIR and their variations. As pre-symptomatic and
asymptomatic cases can spread the disease between populations through travel, it
is important to incorporate mobility between populations into the
epidemiological modelling. In this work, we propose to modify the commonly-used
SEIR model to account fo...
Manifold learning and maximum likelihood estimation for hyperbolic network embedding
Applied Network Science - - 2016
Modeling algorithmic bias: simplicial complexes and evolving network topologies
Applied Network Science - - 2022
Every day, people inform themselves and create their opinions on social
networks. Although these platforms have promoted the access and dissemination of
information, they may expose readers to manipulative, biased, and disinformative
content—co-causes of polarization/radicalization. Moreover, recommendation
algorithms, intended initially to enhance platform usage, are likely to augment
such phenom...
Penalized inference of the hematopoietic cell differentiation network via high-dimensional clonal tracking
Applied Network Science - Tập 4 - Trang 1-26 - 2019
During their lifespan, stem- or progenitor cells have the ability to
differentiate into more committed cell lineages. Understanding this process can
be key in treating certain diseases. However, up until now only limited
information about the cell differentiation process is known. The goal of this
paper is to present a statistical framework able to describe the cell
differentiation process at the ...
Fact-checking strategies to limit urban legends spreading in a segregated society
Applied Network Science - Tập 4 - Trang 1-19 - 2019
We propose a framework to study the spreading of urban legends, i.e., false
stories that become persistent in a local popular culture, where social groups
are naturally segregated by virtue of many (both mutable and immutable)
attributes. The goal of this work is identifying and testing new strategies to
restrain the dissemination of false information, focusing on the role of network
polarization....
Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks
Applied Network Science - Tập 6 - Trang 1-16 - 2021
Markov clustering is an effective unsupervised pattern recognition algorithm for
data clustering in high-dimensional feature space. However, its community
detection performance in complex networks has been demonstrating results far
from the state of the art methods such as Infomap and Louvain. The crucial issue
is to convert the unweighted network topology in a ‘smart-enough’ pre-weighted
connecti...
Multilayer approach reveals organizational principles disrupted in breast cancer co-expression networks
Applied Network Science - Tập 5 - Trang 1-23 - 2020
The study of co-expression programs in the context of cancer can help to
elucidate the genetic mechanisms that are altered and lead to the disease. The
identification of gene co-expression patterns, unique to healthy profiles (and
absent in cancer) is an important step in this direction. Networks are a good
tool for achieving this as they allow to model local and global structural
properties of th...
Organization and evolution of the UK far-right network on Telegram
Applied Network Science - Tập 7 - Trang 1-27 - 2022
The instant messaging platform Telegram has become popular among the far-right
movements in the US and UK in recent years. These groups use public Telegram
channels and group chats to disseminate hate speech, disinformation, and
conspiracy theories. Recent works revealed that the far-right Telegram network
structure is decentralized and formed of several communities divided mostly
along ideologica...
Evolution of topics and hate speech in retweet network communities
Applied Network Science - Tập 6 - Trang 1-20 - 2021
Twitter data exhibits several dimensions worth exploring: a network dimension in
the form of links between the users, textual content of the tweets posted, and a
temporal dimension as the time-stamped sequence of tweets and their retweets. In
the paper, we combine analyses along all three dimensions: temporal evolution of
retweet networks and communities, contents in terms of hate speech, and
disc...
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