Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nazanin Alipourfard"'
Autor:
Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Individuals within social networks rarely observe the network as a whole; rather, their observations are limited to their social circles. Here we show that network structure can distort observations, making a trait appear far more common within many
Externí odkaz:
https://doaj.org/article/18f1792431bb466b89eaca38d1541607
Publikováno v:
Royal Society Open Science, Vol 4, Iss 2 (2017)
Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion
Externí odkaz:
https://doaj.org/article/9ccd573edf074cfa821c844891c90fbc
Publikováno v:
Handbook of Computational Social Science, Volume 2 ISBN: 9781003025245
Quantitative analysis of large-scale data is often complicated by the presence of diverse subgroups, which reduce the accuracy of inferences they make on held-out data. To address the challenge of heterogeneous data analysis, we propose a method that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f60b6964aab302b36b7c564f49b2c5b4
https://doi.org/10.4324/9781003025245-19
https://doi.org/10.4324/9781003025245-19
Autor:
Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Metcalf Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber, Timothy M. Errington, Fiona Fidler, Nicholas William Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, C Lee Giles, Michael B Gordon, Reed Gordon-Sarney, Christopher Griffin, Timothy Gulden, Krystal Hahn, Robert Hartman, Felix Holzmeister, Xia Ben Hu, Magnus Johannesson, Lee Kezar, Melissa Kline Struhl, Ugur Kuter, Anthony M. Kwasnica, Dong-Ho Lee, Kristina Lerman, Yang Liu, Zachary Loomas, Brianna Luis, Ian Magnusson, Olivia Miske, Fallon Mody, Fred Morstatter, Brian A. Nosek, Elan Simon Parsons, David Pennock, Thomas Pfeiffer, Jay Pujara, Sarah Rajtmajer, Xiang Ren, Abel Salinas, Ravi Kiran Selvam, Frank Shipman, Priya Silverstein, Amber Sprenger, Anna Ms Squicciarini, Steve Stratman, Kexuan Sun, Saatvik Tikoo, Charles Richard Twardy, Andrew Tyner, Domenico Viganola, Juntao Wang, David Peter Wilkinson, Bonnie Wintle, Jian Wu
Assessing the credibility of research claims is a central, continuous, and laborious part of the scientific process. Credibility assessment strategies range from expert judgment to aggregating existing evidence to systematic replication efforts. Such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709114050c57043f78b428c483d67f24
https://osf.io/preprints/socarxiv/46mnb
https://osf.io/preprints/socarxiv/46mnb
Autor:
Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman
Publikováno v:
Journal of Complex Networks. 10
Preferential attachment, homophily, and their consequences such as scale-free (i.e. power-law) degree distributions, the glass ceiling effect (the unseen, yet unbreakable barrier that keeps minorities and women from rising to the upper rungs of the c
Autor:
Buddhika Nettasinghe, Kristina Lerman, Andrés Abeliuk, Vikram Krishnamurthy, Nazanin Alipourfard
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Social networks shape perceptions by exposing people to the actions and opinions of their peers. However, the perceived popularity of a trait or an opinion may be very different from its actual popularity. We attribute this perception bias to friends
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 12:2-11
We describe a data-driven discovery method that leverages Simpson's paradox to uncover interesting patterns in behavioral data. Our method systematically disaggregates data to identify subgroups within a population whose behavior deviates significant
Publikováno v:
WSDM
We investigate how Simpson's paradox affects analysis of trends in social data. According to the paradox, the trends observed in data that has been aggregated over an entire population may be different from, and even opposite to, those of the underly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f93b128f1ce734243cf5f5890b135d80
Publikováno v:
Discrete Mathematics, Algorithms and Applications. 10:1850007
Let [Formula: see text] be a graph. A vertex coloring [Formula: see text] of [Formula: see text] is called [Formula: see text]-vertex coloring if [Formula: see text] for every vertex [Formula: see text] of [Formula: see text], where [Formula: see tex
Publikováno v:
Royal Society Open Science, Vol 4, Iss 2 (2017)
Royal Society Open Science
Royal Society Open Science
Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion