Modern temporal network theory: a colloquium

P Holme - The European Physical Journal B, 2015 - Springer
The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

Social media and mental health

L Braghieri, R Levy, A Makarin - American Economic Review, 2022 - aeaweb.org
We provide quasi-experimental estimates of the impact of social media on mental health by
leveraging a unique natural experiment: the staggered introduction of Facebook across US …

Motifs in temporal networks

A Paranjape, AR Benson, J Leskovec - … on web search and data mining, 2017 - dl.acm.org
Networks are a fundamental tool for modeling complex systems in a variety of domains
including social and communication networks as well as biology and neuroscience. The …

Evaluating overfit and underfit in models of network community structure

A Ghasemian, H Hosseinmardi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A common graph mining task is community detection, which seeks an unsupervised
decomposition of a network into groups based on statistical regularities in network …

Estimating peer effects in networks with peer encouragement designs

D Eckles, RF Kizilcec, E Bakshy - Proceedings of the …, 2016 - National Acad Sciences
Peer effects, in which the behavior of an individual is affected by the behavior of their peers,
are central to social science. Because peer effects are often confounded with homophily and …

The anti-social system properties: Bitcoin network data analysis

I Alqassem, I Rahwan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Bitcoin is a cryptocurrency and a decentralized semi-anonymous peer-to-peer payment
system in which the transactions are verified by network nodes and recorded in a public …

Randomized graph cluster randomization

J Ugander, H Yin - Journal of Causal Inference, 2023 - degruyter.com
The global average treatment effect (GATE) is a primary quantity of interest in the study of
causal inference under network interference. With a correctly specified exposure model of …

A large-scale comparative study of informal social networks in firms

AZ Jacobs, DJ Watts - Management Science, 2021 - pubsonline.informs.org
Theories of organizations are sympathetic to long-standing ideas from network science that
organizational networks should be regarded as multiscale and capable of displaying …

Network constraints on the mixing patterns of binary node metadata

M Cinelli, L Peel, A Iovanella, JC Delvenne - Physical Review E, 2020 - APS
We consider the network constraints on the bounds of the assortativity coefficient, which
aims to quantify the tendency of nodes with the same attribute values to be connected. The …

Collaboration strength metrics and analyses on GitHub

NA Batista, MA Brandão, GB Alves… - Proceedings of the …, 2017 - dl.acm.org
We perform social analyses over an important community: the open code collaboration
network. Specifically, we study the correlation among features that measure the strength of …