activity
20122023
most citedHomophily and minority size explain perception biases in social networks

160 citations · 1k across the 30 of their papers we have counts for

collaborators

30 papers

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

physics.soc-ph2023★ 10 cited

Assortative and preferential attachment lead to core-periphery networks

Javier Ureña-Carrion, Fariba Karimi, Gerardo Iñiguez +1

Core-periphery is a key feature of large-scale networks underlying a wide range of social, biological, and transportation phenomena. Despite its prevalence in empirical data, it is…

q-bio.PE2022

Effects of Racial Segregation on Economic Productivity in U.S. Cities

Andrew J. Stier, Sina Sajjadi, Luıs M. A. Bettencourt +2

Homophily and heterophobia, the tendency for people with similar characteristics to preferentially interact with (or avoid) each other are pervasive in human social networks. Here,…

physics.soc-ph2022

On the inadequacy of nominal assortativity for assessing homophily in networks

Fariba Karimi, Marcos Oliveira

Nominal assortativity (or discrete assortativity) is widely used to characterize group mixing patterns and homophily in networks, enabling researchers to analyze how groups interac…

physics.soc-ph2022★ 11 cited

Improving the visibility of minorities through network growth interventions

Leonie Neuhäuser, Fariba Karimi, Jan Bachmann +2

Improving the position of minorities in networks via interventions is a challenge of high theoretical and societal importance. In this work, we examine how different network growth…

physics.soc-ph2022★ 3 cited

Minorities in networks and algorithms

Fariba Karimi, Marcos Oliveira, Markus Strohmaier

In this chapter, we provide an overview of recent advances in data-driven and theory-informed complex models of social networks and their potential in understanding societal inequa…

cs.SI2022★ 21 cited

Link recommendations: Their impact on network structure and minorities

Antonio Ferrara, Lisette Espín-Noboa, Fariba Karimi +1

Network-based people recommendation algorithms are widely employed on the Web to suggest new connections in social media or professional platforms. While such recommendations bring…

physics.soc-ph2022★ 2 cited

Structural inequalities exacerbate infection disparities: A computational approach

Sina Sajjadi, Pourya Toranj Simin, Mehrzad Shadmangohar +4

During the COVID-19 pandemic, we witnessed a disproportionate infection rate among marginalized and low-income groups. Despite empirical evidence suggesting that structural inequal…

cs.DL2022★ 60 cited

The many facets of academic mobility and its impact on scholars' career

Fakhri Momeni, Fariba Karimi, Philipp Mayr +2

International mobility in academia can enhance the human and social capital of researchers and consequently their scientific outcome. However, there is still a very limited underst…

physics.soc-ph2021★ 21 cited

First-mover advantage explains gender disparities in physics citations

Hyunsik Kong, Samuel Martin-Gutierrez, Fariba Karimi

Mounting evidence suggests that publications and citations of scholars in the STEM fields (Science, Technology, Engineering and Mathematics) suffer from gender biases. In this pape…

cs.SI2021★ 38 cited

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms

Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier +1

Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely P…

physics.soc-ph2021

Group mixing drives inequality in face-to-face gatherings

Marcos Oliveira, Fariba Karimi, Maria Zens +3

Uncovering how inequality emerges from human interaction is imperative for just societies. Here we show that the way social groups interact in face-to-face situations can enable th…

physics.soc-ph2021

A temporal network version of Watts's cascade model

Fariba Karimi, Petter Holme

Threshold models of cascades in the social sciences and economics explain the spread of opinion and innovation due to social influence. In threshold cascade models, fads or innovat…

cs.CY2020★ 22 cited

Bias in Data-driven AI Systems -- An Introductory Survey

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20

AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…

physics.soc-ph2019

The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict

Julian Kohne, Natalie Gallagher, Zeynep Melis Kirgil +3

Social norms can facilitate societal coexistence in groups by providing an implicitly shared set of expectations and behavioral guidelines. However, different social groups can hol…

cs.CY2018

Collective Attention towards Scientists and Research Topics

Claudia Wagner, Olga Zagovora, Tatiana Sennikova +1

Emergent patterns of collective attention towards scientists and their research may function as a proxy for scientific impact which traditionally is assessed via committees that aw…

physics.soc-ph2018★ 10 cited

Decay of Relevance in Exponentially Growing Networks

Jun Sun, Steffen Staab, Fariba Karimi

We propose a new preferential attachment-based network growth model in order to explain two properties of growing networks: (1) the power-law growth of node degrees and (2) the dec…

cs.SI2018★ 10 cited

Analyzing the network structure and gender differences among the members of the Networked Knowledge Organization Systems (NKOS) community

Fariba Karimi, Philipp Mayr, Fakhri Momeni

In this paper, we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2016 from a network analytical…

cs.SI2018★ 10 cited

Towards Quantifying Sampling Bias in Network Inference

Lisette Espín-Noboa, Claudia Wagner, Fariba Karimi +1

Relational inference leverages relationships between entities and links in a network to infer information about the network from a small sample. This method is often used when glob…

physics.soc-ph2017★ 160 cited

Homophily and minority size explain perception biases in social networks

Eun Lee, Fariba Karimi, Claudia Wagner +3

People's perceptions about the size of minority groups in social networks can be biased, often showing systematic over- or underestimation. These social perception biases are often…

physics.soc-ph2017★ 119 cited

Gender Disparities in Science? Dropout, Productivity, Collaborations and Success of Male and Female Computer Scientists

Mohsen Jadidi, Fariba Karimi, Haiko Lietz +1

Scientific collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is sti…

cs.SI2017★ 46 cited

Sampling from Social Networks with Attributes

Claudia Wagner, Philipp Singer, Fariba Karimi +2

Sampling from large networks represents a fundamental challenge for social network research. In this paper, we explore the sensitivity of different sampling techniques (node sampli…

physics.soc-ph2017★ 133 cited

Visibility of minorities in social networks

Fariba Karimi, Mathieu Génois, Claudia Wagner +2

Homophily can put minority groups at a disadvantage by restricting their ability to establish links with people from a majority group. This can limit the overall visibility of mino…

cs.CY2016★ 125 cited

Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods

Fariba Karimi, Claudia Wagner, Florian Lemmerich +2

Computational social scientists often harness the Web as a "societal observatory" where data about human social behavior is collected. This data enables novel investigations of psy…