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Crowdsourcing, Attention and Productivity [article]

Bernardo A. Huberman, Daniel M. Romero, Fang Wu
2008 arXiv   pre-print
The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads
more » ... hatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.
arXiv:0809.3030v1 fatcat:u2wl6pk4yzebdn2gvn6ncs7lxm

Coordination and Efficiency in Decentralized Collaboration [article]

Daniel M. Romero, Dan Huttenlocher, Jon Kleinberg
2015 arXiv   pre-print
Environments for decentralized on-line collaboration are now widespread on the Web, underpinning open-source efforts, knowledge creation sites including Wikipedia, and other experiments in joint production. When a distributed group works together in such a setting, the mechanisms they use for coordination can play an important role in the effectiveness of the group's performance. Here we consider the trade-offs inherent in coordination in these on-line settings, balancing the benefits to
more » ... ration with the cost in effort that could be spent in other ways. We consider two diverse domains that each contain a wide range of collaborations taking place simultaneously -- Wikipedia and GitHub -- allowing us to study how coordination varies across different projects. We analyze trade-offs in coordination along two main dimensions, finding similar effects in both our domains of study: first we show that, in aggregate, high-status projects on these sites manage the coordination trade-off at a different level than typical projects; and second, we show that projects use a different balance of coordination when they are "crowded," with relatively small size but many participants. We also develop a stylized theoretical model for the cost-benefit trade-off inherent in coordination and show that it qualitatively matches the trade-offs we observe between crowdedness and coordination.
arXiv:1503.07431v1 fatcat:eqolohzjkvb6jn24vuie5hq5wi

Network Structure, Efficiency, and Performance in WikiProjects [article]

Edward L. Platt, Daniel M. Romero
2018 arXiv   pre-print
For Wikipedia specifically, Robert and Romero [33] found that larger group sizes yield higher article ratings when the groups are diverse and experienced.  ... 
arXiv:1804.03763v1 fatcat:wixwvptznjeh5dtzi673i2q6my

Influence and Passivity in Social Media [article]

Daniel M. Romero, Wojciech Galuba, Sitaram Asur, Bernardo A. Huberman
2010 arXiv   pre-print
The Influence-Passivity algorithm (Algorithm 1) takes the graph G as the input and computes the influence and passivity for each node in m iterations. Generating the input graph.  ...  Algorithm 1: The Influence-Passivity (IP) algorithmI0 ← (1, 1, . . . , 1) ∈ R |N | ; P0 ← (1, 1, . . . , 1) ∈ R |N | ; for i = 1 to m doUpdate Ri using operation (2) and the values Ii−1; Update Ii using  ... 
arXiv:1008.1253v1 fatcat:a3teajou3na7pjyl6wyccqgvde

Interactive Trauma Scale [chapter]

Daniel W. Hoover, Elizabeth M. G. Romero
2020 Encyclopedia of Autism Spectrum Disorders  
PTSD-positive screening youth had higher overall frequency scores on the ITS (M 62.40; SD 11.876) than those who did not screen positive on the ITS (M 41.53; SD 14.366; t ¼ 2.78, p < 0.05).  ...  A history of physical and verbal bullying was reported by most of the validity sample (Hoover and Romero 2019) and is commonly reported by children with ASD.  ... 
doi:10.1007/978-1-4614-6435-8_102351-2 fatcat:ye3cyv6kkvcfhdx2nwjp6uvlxe

Social networks that matter: Twitter under the microscope [article]

Bernardo A. Huberman, Daniel M. Romero, Fang Wu
2008 arXiv   pre-print
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral marketing, among others. But the linked structures of social networks do not reveal actual interactions among people. Scarcity of attention and the daily rythms of life and work makes people default to interacting with those few that matter and that reciprocate their attention. A study of
more » ... ial interactions within Twitter reveals that the driver of usage is a sparse and hidden network of connections underlying the declared set of friends and followers.
arXiv:0812.1045v1 fatcat:acgaddtzkba5pl5msam5iyccma

Crowdsourcing, Attention and Productivity

Bernardo A. Huberman, Daniel M. Romero, Fang Wu
2008 Social Science Research Network  
The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads
more » ... hatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.
doi:10.2139/ssrn.1266996 fatcat:7f7bjxlhcjenff6kze6jdh7k6m

An Epidemiological Approach to the Spread of Political Third Parties [article]

Daniel M. Romero, Christopher M. Kribs-Zaleta, Anuj Mubayi, Clara Orbe
2009 arXiv   pre-print
We calculate det J 1 ( µ γ , m * ± ) = −γm * ± αβ 1 − µ γ − 2m * ± − (β − φ) µ γ − µ , so that det J 1 ( µ γ , m * ± ) > 0 ⇔ αβ 1 − µ γ − 2m * ± − (β − φ) µ γ − µ < 0 ⇔ m * ± > 1 2 1 − µ γ − β − φ αβ µ  ...  Next we set dv/dt = 0 and v * = µ γ in (12) : dv dt = (β − φ) µ γ 1 − µ γ − m * + αβm * 1 − µ γ − m * − (µ + ǫ + γm * ) µ γ = 0.  ... 
arXiv:0911.2388v1 fatcat:34izybl4f5hufnnilnx3cw67gq

Shocking the Crowd: The Effect of Censorship Shocks on Chinese Wikipedia

Ark Fangzhou Zhang, Danielle Livneh, Ceren Budak, Lionel P. Robert Jr., Daniel M. Romero
2017 arXiv   pre-print
(Robert and Romero 2016; Kittur and Kraut 2010) .  ...  Centralization: It is common for Wikipedia articles to have a skewed distribution of editors' contributions (Romero, Huttenlocher, and Kleinberg 2015) .  ... 
arXiv:1704.00412v1 fatcat:cz7v3zotavbmnitnjvqmiuoyli

Information Retention in the Multi-platform Sharing of Science [article]

Sohyeon Hwang, Emőke-Ágnes Horvát, Daniel M. Romero
2022 arXiv   pre-print
online content more broadly has focused on the flow and virality of content on new media platforms (Adar and Adamic 2005; Adamic et al. 2016; Lakkaraju, McAuley, and Leskovec 2013; Lerman and Ghosh 2010; Romero  ... 
arXiv:2207.13815v1 fatcat:msadjvuhcjdgtopbrwcr5lcel4

Towards Attack-Tolerant Networks: Concurrent Multipath Routing and the Butterfly Network [article]

Edward L. Platt, Daniel M. Romero
2017 arXiv   pre-print
We denote the m-dimensional, directed wrap-around butterfly as a graph wBF(m): wBF(m) = (V, E ↓ ∪ E → ) (7) V = Z m × Z m 2 (8) E ↓ = {((l, z), (l + 1 (mod m), z)} (9) E → = {(l, z), (l + 1 (mod m), z  ...  Table 1 : 1 Butterfly Multipath Routing Variables NAME VARIABLE butterfly dimension m ∈ Z + node level l ∈ Z : 0 ≤ l < m node place within level z ∈ Z m 2 trust radius h ∈ Z : 1 ≤ h ≤ m/2 path  ... 
arXiv:1704.02426v1 fatcat:piz56cinxvd33n7uvf3nar22xa

Heart Rate Nonlinear Dynamics During Sudden Hypoxia at 8230 m Simulated Altitude

Daniel E. Vigo, Santiago Pérez Lloret, Alejandro J. Videla, Daniel Pérez Chada, Horacio M. Hünicken, Jorge Mercuri, Ramón Romero, Leonardo C. Nicola Siri, Daniel P. Cardinali
2010 Wilderness & environmental medicine (Print)  
Methods: Twelve military pilots were supplemented with increasing concentrations of oxygen during decompression to 8,230 m in a hypobaric chamber.  ...  Linear and nonlinear HRV was evaluated at 8,230 m altitude before, during and after oxygen flow deprivation. Linear HRV was assessed through traditional time-and frequency-domain analysis.  ...  Pressure was lowered to simulate an ascent to 8,230 m (27,000 feet) at a rate of 640 m/min (2,100 feet/min).  ... 
doi:10.1016/j.wem.2009.12.022 pmid:20591347 fatcat:777vfcqvnbfzjlpx7ddpo6aa4a

Crowdsourcing, attention and productivity

Bernardo A. Huberman, Daniel M. Romero, Fang Wu
2009 Journal of information science  
The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads
more » ... hatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.
doi:10.1177/0165551509346786 fatcat:n3logxpzzbgxdeuwvxf6f6rbdu

Social networks that matter: Twitter under the microscope

Bernardo Huberman, Daniel M Romero, Fang Wu
2008 First Monday  
Scholars, advertisers and political activists see massive online social networks as a representation of social interactions that can be used to study the propagation of ideas, social bond dynamics and viral marketing, among others. But the linked structures of social networks do not reveal actual interactions among people. Scarcity of attention and the daily rythms of life and work makes people default to interacting with those few that matter and that reciprocate their attention. A study of
more » ... ial interactions within Twitter reveals that the driver of usage is a sparse and hidden network of connections underlying the "declared" set of friends and followers.
doi:10.5210/fm.v14i1.2317 fatcat:4crxyzgkt5edlnwx3arepsvs5u

Relação Médico-Paciente e Relação Perito-Periciando: diferenças e semelhanças

Ângela Tartuce Gomes da Silva, Daniele Pimentel Maciel, Valéria M. S. Framil, Daniele Muñoz Gianvecchio, Victor A. P. Gianvecchio, Daniel Romero Muñoz
2017 Saúde Ética & Justiça  
Introdução: A relação médico-paciente é a base da Medicina e está fundamentada nos princípios da beneficência, não-maleficência, justiça e autonomia. A perícia médica surgiu diante da necessidade da aplicação de conhecimentos técnicos no âmbito do Direito. As diferenças entre essas duas atuações médicas é objeto de conflitos que dificultam a atuação do médico perito. Objetivo: Estabelecer as diferenças e semelhanças entre a relação médico-paciente e a relação perito-periciando. Material e
more » ... s: Revisão de literatura de artigos e periódicos em língua portuguesa na base de dados Scielo e em livros especializados sobre o assunto. Discussão: A relação médico-paciente se baseia em confiança mútua, estabelecimento de vínculo mútuo, busca por um resultado em comum: diagnóstico e tratamento; há coerência entre a comunicação verbal e não verbal, a anamnese constitui o principal método propedêutico, sendo os exames complementares solicitados para auxiliar o diagnóstico e há o compromisso com o sigilo profissional. Já a relação perito-periciando possui uma natureza investigativa, não havendo uma relação de confiança mútua, a finalidade é o esclarecimento da Justiça e o sigilo profissional não fica restrito ao binômio perito-periciando. A semelhança entre essas duas relações está relacionada à conduta do médico que deve ser pautada na técnica, no respeito, educação e abstenção de julgamentos morais e de valores, além da necessidade de atualização por parte do profissional. Conclusão: A relação médico-paciente e a relação perito-periciando apresentam características peculiaridades e algumas delas são inconfundíveis. Em ambas as situações observamos a importância da atuação médica como essência desta relação e suas consequentes implicações morais, jurídicas e éticas.
doi:10.11606/issn.2317-2770.v22i1p50-55 fatcat:ypbdvvkdwrfpvmgddxpvyysyj4
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