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Petter Holme

Dados Biográficos

ID635565
NOMEPetter Holme
PRENOMESPetter
SOBRENOMEHolme
ASSINATURAHOLME P
AFILIAÇÕESTokyo Institute of Technology
ORCID0000-0003-2156-1096
VERIFICADOSim
TOTAL DE OBRAS17
TOTAL DE CITAÇÕES6
TOTAL COMO AUTOR15
TOTAL COMO EDITOR2
PRIMEIRO ANO DE PUBLICAÇÃO2000
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H2
  • Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism

    Open Access•Yueran Duan, Mateusz Nurek et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Temporality, a crucial characteristic in the formation of social relationships, was used to quantify the long-term time effects of networks for link prediction models, ignoring the heterogeneity of time effects on different time scales. In this work, we propose a novel approach to link prediction in temporal networks, extending existing methods with a cognitive mechanism that captures the dynamics of the interactions. Our approach computes the we…

  • Social networking agency and prosociality are inextricably linked in economic games

    Open Access•Dingding Jia, Ivan Romić et al.•ARTICLE•Nature Human Behaviour•2025•Referências: 54

  • Gender inequality and self-publication are common among academic editors

    Open Access•Fengyuan Liu, Felix Thoemmes et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 3•Referências: 63

    Scientific editors shape the content of academic journals and set standards for their fields. Yet, the degree to which the gender makeup of editors reflects that of scientists, and the rate at which editors publish in their own journals, are not entirely understood. Here, we use algorithmic tools to infer the gender of 81,000 editors serving more than 1,000 journals and 15 disciplines over five decades. Only 26% of authors in our dataset are wome…

  • Network Structure and Community Evolution Online

    Open Access•Fan Fang, Tong Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental insights on how collective social processes respond to extreme events. Objective: In this study, we built a generalized framework for applying social media data to understand public behavioral and emotional changes in response to C…

  • Universal evolution patterns of degree assortativity in social networks

    Open Access•Bin Zhou, Xin Lu et al.•ARTICLE•Social Networks•2020

  • Impact of misinformation in temporal network epidemiology

    Open Access•Petter Holme, Luis E C Rocha•ARTICLE•Network Science•2019•Citada por: 1•Referências: 3

    We investigate the impact of misinformation about the contact structure on the ability to predict disease outbreaks. We base our study on 31 empirical temporal networks and tune the frequencies in errors in the node identities or time stamps of contacts. We find that for both these spreading scenarios, the maximal misprediction of both the outbreak size and time to extinction follows an stretched exponential convergence as a function of the error…

  • Temporal Network Epidemiology

    Open Access•Aaron Bramson, Kevin Hoefman et al.•BOOK•Temporal Network Epidemiology…•2017

  • Sexual and Communication Networks of Internet-Mediated Prostitution

    Luis E C Rocha, Fredrik Liljeros et al.•BOOK•The Oxford Handbook of the…•2016

    This chapter examines prostitution as a socioeconomic phenomenon and discusses its contribution to the spread of sexually transmitted infections. Using online network data from Internet-mediated prostitution in Brazil, it looks at the connectedness of individuals on a review website where clients record intimate details about encounters with sex workers. It begins with an overview of networks, including human sexual networks, along with network p…

  • Temporal Networks

    Open Access•Petter Holme•CHAPTER•Encyclopedia of Social Network…•2014

  • Temporal Networks

    Petter Holme, Jari Saramäki•BOOK•Temporal Networks•2013

  • A Temporal Network Version of Watts’s Cascade Model

    Open Access•Fowzia Karimi, Fariba Karimi et al.•CHAPTER•Temporal Networks•2013

  • Predictability of population displacement after the 2010 Haiti earthquake

    Open Access•Xin Lu, Linus Bengtsson et al.•ARTICLE•Proceedings of the National…•2012

    Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need. Understanding and predicting the locations of affected people during disasters is key to effective humanitarian relief operations and to long-term societal reconstruction. We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movements of 1.9 million mobile pho…

  • Temporal networks

    Open Access•Petter Holme, Jari Saramäki•ARTICLE•Physics Reports•2012

  • Social, Sexual and Economic Networks of Prostitution

    Petter Holme•ARTICLE•Leonardo•2012•Referências: 5

    This article discusses the networks of prostitution, in particular those that can be extracted from online data, and what they can teach us about prostitution itself, disease spreading, cultural differences and a broader spectrum of socio-economical phenomena

  • The Diplomat’s Dilemma

    Open Access•Petter Holme, Gourab Ghoshal•CHAPTER•Adaptive Networks•2009

  • Structure and time evolution of an Internet dating community

    Open Access•Petter Holme, Christofer R Edling et al.•ARTICLE•Social Networks•2004

  • De re bibliographica

    Open Access•Luis E C Rocha, Juan Antonio Martínez de La Fe et al.•ARTICLE•Boletín Millares Carlo•2000•Citada por: 2

    Temporal networks have been increasingly used to model a diversity of systems that evolve in time; for example, human contact structures over which dynamic processes such as epidemics take place. A fundamental aspect of real-life networks is that they are sampled within temporal and spatial frames. Furthermore, one might wish to subsample networks to reduce their size for better visualization or to perform computationally intensive simulations. T…

  • Gender inequality and self-publication are common among academic editors

    Open Access•Fengyuan Liu, Felix Thoemmes et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 3•Referências: 63

    Scientific editors shape the content of academic journals and set standards for their fields. Yet, the degree to which the gender makeup of editors reflects that of scientists, and the rate at which editors publish in their own journals, are not entirely understood. Here, we use algorithmic tools to infer the gender of 81,000 editors serving more than 1,000 journals and 15 disciplines over five decades. Only 26% of authors in our dataset are wome…

  • De re bibliographica

    Open Access•Luis E C Rocha, Juan Antonio Martínez de La Fe et al.•ARTICLE•Boletín Millares Carlo•2000•Citada por: 2

    Temporal networks have been increasingly used to model a diversity of systems that evolve in time; for example, human contact structures over which dynamic processes such as epidemics take place. A fundamental aspect of real-life networks is that they are sampled within temporal and spatial frames. Furthermore, one might wish to subsample networks to reduce their size for better visualization or to perform computationally intensive simulations. T…

  • Impact of misinformation in temporal network epidemiology

    Open Access•Petter Holme, Luis E C Rocha•ARTICLE•Network Science•2019•Citada por: 1•Referências: 3

    We investigate the impact of misinformation about the contact structure on the ability to predict disease outbreaks. We base our study on 31 empirical temporal networks and tune the frequencies in errors in the node identities or time stamps of contacts. We find that for both these spreading scenarios, the maximal misprediction of both the outbreak size and time to extinction follows an stretched exponential convergence as a function of the error…

  • De re bibliographica

    Open Access•Luis E C Rocha, Juan Antonio Martínez de La Fe et al.•ARTICLE•Boletín Millares Carlo•2000•Citada por: 2

    Temporal networks have been increasingly used to model a diversity of systems that evolve in time; for example, human contact structures over which dynamic processes such as epidemics take place. A fundamental aspect of real-life networks is that they are sampled within temporal and spatial frames. Furthermore, one might wish to subsample networks to reduce their size for better visualization or to perform computationally intensive simulations. T…

  • Structure and time evolution of an Internet dating community

    Open Access•Petter Holme, Christofer R Edling et al.•ARTICLE•Social Networks•2004

  • The Diplomat’s Dilemma

    Open Access•Petter Holme, Gourab Ghoshal•CHAPTER•Adaptive Networks•2009

  • Predictability of population displacement after the 2010 Haiti earthquake

    Open Access•Xin Lu, Linus Bengtsson et al.•ARTICLE•Proceedings of the National…•2012

    Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need. Understanding and predicting the locations of affected people during disasters is key to effective humanitarian relief operations and to long-term societal reconstruction. We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movements of 1.9 million mobile pho…

  • Temporal networks

    Open Access•Petter Holme, Jari Saramäki•ARTICLE•Physics Reports•2012

  • Social, Sexual and Economic Networks of Prostitution

    Petter Holme•ARTICLE•Leonardo•2012•Referências: 5

    This article discusses the networks of prostitution, in particular those that can be extracted from online data, and what they can teach us about prostitution itself, disease spreading, cultural differences and a broader spectrum of socio-economical phenomena

  • Temporal Networks

    Petter Holme, Jari Saramäki•BOOK•Temporal Networks•2013

  • A Temporal Network Version of Watts’s Cascade Model

    Open Access•Fowzia Karimi, Fariba Karimi et al.•CHAPTER•Temporal Networks•2013

  • Temporal Networks

    Open Access•Petter Holme•CHAPTER•Encyclopedia of Social Network…•2014

  • Sexual and Communication Networks of Internet-Mediated Prostitution

    Luis E C Rocha, Fredrik Liljeros et al.•BOOK•The Oxford Handbook of the…•2016

    This chapter examines prostitution as a socioeconomic phenomenon and discusses its contribution to the spread of sexually transmitted infections. Using online network data from Internet-mediated prostitution in Brazil, it looks at the connectedness of individuals on a review website where clients record intimate details about encounters with sex workers. It begins with an overview of networks, including human sexual networks, along with network p…

  • Temporal Network Epidemiology

    Open Access•Aaron Bramson, Kevin Hoefman et al.•BOOK•Temporal Network Epidemiology…•2017

  • Impact of misinformation in temporal network epidemiology

    Open Access•Petter Holme, Luis E C Rocha•ARTICLE•Network Science•2019•Citada por: 1•Referências: 3

    We investigate the impact of misinformation about the contact structure on the ability to predict disease outbreaks. We base our study on 31 empirical temporal networks and tune the frequencies in errors in the node identities or time stamps of contacts. We find that for both these spreading scenarios, the maximal misprediction of both the outbreak size and time to extinction follows an stretched exponential convergence as a function of the error…

  • Universal evolution patterns of degree assortativity in social networks

    Open Access•Bin Zhou, Xin Lu et al.•ARTICLE•Social Networks•2020

  • Network Structure and Community Evolution Online

    Open Access•Fan Fang, Tong Wang et al.•ARTICLE•Frontiers in Public Health•2022

    Background: The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental insights on how collective social processes respond to extreme events. Objective: In this study, we built a generalized framework for applying social media data to understand public behavioral and emotional changes in response to C…

  • Gender inequality and self-publication are common among academic editors

    Open Access•Fengyuan Liu, Felix Thoemmes et al.•ARTICLE•Nature Human Behaviour•2023•Citada por: 3•Referências: 63

    Scientific editors shape the content of academic journals and set standards for their fields. Yet, the degree to which the gender makeup of editors reflects that of scientists, and the rate at which editors publish in their own journals, are not entirely understood. Here, we use algorithmic tools to infer the gender of 81,000 editors serving more than 1,000 journals and 15 disciplines over five decades. Only 26% of authors in our dataset are wome…

  • Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism

    Open Access•Yueran Duan, Mateusz Nurek et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Temporality, a crucial characteristic in the formation of social relationships, was used to quantify the long-term time effects of networks for link prediction models, ignoring the heterogeneity of time effects on different time scales. In this work, we propose a novel approach to link prediction in temporal networks, extending existing methods with a cognitive mechanism that captures the dynamics of the interactions. Our approach computes the we…

  • Social networking agency and prosociality are inextricably linked in economic games

    Open Access•Dingding Jia, Ivan Romić et al.•ARTICLE•Nature Human Behaviour•2025•Referências: 54

Computer Science (11 obras) · Complex Network Analysis Techniques (9 obras) · Opinion Dynamics and Social Influence (7 obras) · Psychology (5 obras) · Mathematics (4 obras) · Sociology (4 obras) · Population (3 obras) · Artificial Intelligence (2 obras) · Complex Systems and Time Series Analysis (2 obras) · Data mining (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae