179 research outputs found

    Where are my followers? Understanding the Locality Effect in Twitter

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    Twitter is one of the most used applications in the current Internet with more than 200M accounts created so far. As other large-scale systems Twitter can obtain enefit by exploiting the Locality effect existing among its users. In this paper we perform the first comprehensive study of the Locality effect of Twitter. For this purpose we have collected the geographical location of around 1M Twitter users and 16M of their followers. Our results demonstrate that language and cultural characteristics determine the level of Locality expected for different countries. Those countries with a different language than English such as Brazil typically show a high intra-country Locality whereas those others where English is official or co-official language suffer from an external Locality effect. This is, their users have a larger number of followers in US than within their same country. This is produced by two reasons: first, US is the dominant country in Twitter counting with around half of the users, and second, these countries share a common language and cultural characteristics with US

    Charge transfer through single molecule contacts: How reliable are rate descriptions?

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    The trend to fabricate electrical circuits on nanoscale dimensions has led to impressive progress in the field of molecular electronics in the last decade. A theoretical description of molecular contacts as the building blocks of future devices is challenging though as it has to combine properties of Fermi liquids in the leads with charge and phonon degrees of freedom on the molecule. Apart from ab initio schemes for specific set-ups, generic models reveal characteristics of transport processes. Particularly appealing are descriptions based on transfer rates successfully used in other contexts such as mesoscopic physics and intramolecular electron transfer. However, a detailed analysis of this scheme in comparison with numerically exact data is elusive yet. It turns out that a formulation in terms of transfer rates provides a quantitatively accurate description even in domains of parameter space where in a strict sense it is expected to fail, e.g. for lower temperatures. Typically, intramolecular phonons are distributed according to a voltage driven steady state that can only roughly be captured by a thermal distribution with an effective elevated temperature (heating). An extension of a master equation for the charge-phonon complex to include effectively the impact of off-diagonal elements of the reduced density matrix provides very accurate data even for stronger electron-phonon coupling.Comment: 10 pages, 10 figure

    Is Content Publishing in BitTorrent Altruistic or Profit-Driven

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    BitTorrent is the most popular P2P content delivery application where individual users share various type of content with tens of thousands of other users. The growing popularity of BitTorrent is primarily due to the availability of valuable content without any cost for the consumers. However, apart from required resources, publishing (sharing) valuable (and often copyrighted) content has serious legal implications for user who publish the material (or publishers). This raises a question that whether (at least major) content publishers behave in an altruistic fashion or have other incentives such as financial. In this study, we identify the content publishers of more than 55k torrents in 2 major BitTorrent portals and examine their behavior. We demonstrate that a small fraction of publishers are responsible for 66% of published content and 75% of the downloads. Our investigations reveal that these major publishers respond to two different profiles. On one hand, antipiracy agencies and malicious publishers publish a large amount of fake files to protect copyrighted content and spread malware respectively. On the other hand, content publishing in BitTorrent is largely driven by companies with financial incentive. Therefore, if these companies lose their interest or are unable to publish content, BitTorrent traffic/portals may disappear or at least their associated traffic will significantly reduce

    Analyzing gender inequality through large-scale Facebook advertising data

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    Online social media are information resources that can have a transformative power in society. While the Web was envisioned as an equalizing force that allows everyone to access information, the digital divide prevents large amounts of people from being present online. Online social media in particular are prone to gender inequality, an important issue given the link between social media use and employment. Understanding gender inequality in social media is a challenging task due to the necessity of data sources that can provide large-scale measurements across multiple countries. Here we show how the Facebook Gender Divide (FGD), a metric based on aggregated statistics of more than 1.4 Billion users in 217 countries, explains various aspects of worldwide gender inequality. Our analysis shows that the FGD encodes gender equality indices in education, health, and economic opportunity. We find gender differences in network externalities that suggest that using social media has an added value for women. Furthermore, we find that low values of the FGD are associated with increases in economic gender equality. Our results suggest that online social networks, while suffering evident gender imbalance, may lower the barriers that women have to access informational resources and help to narrow the economic gender gap

    Politics in the Facebook era : evidence from the 2016 US presidential elections

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    Social media enable politicians to personalize their campaigns and target voters who may be decisive for the outcome of elections. We assess the effects of such political "micro-targeting" by exploiting variation in daily advertising prices on Facebook, collected during the course of the 2016 U.S. presidential campaign. We analyze the variation of prices across political ideologies and propose a measure for the intensity of online political campaigns. Combining this measure with information from the ANES electoral survey, we address two fundamental questions: (i) To what extent did political campaigns use social media to micro-target voters? (ii) How large was the effect, if any, on voters who were heavily exposed to campaigning on social media? We find that online political campaigns targeted on users' gender, geographic location, and political ideology had a signicant eect in persuading undecided voters to support Mr Trump, and in persuading Republican supporters to turn out on polling day. Moreover the effect of micro-targeting on Facebook was strongest among users without university or college-level education

    Applying Low Discrepancy Sequences for Node-ID Assignment in P2PSIP

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    ENDURING COVID-19 AS NYC SUBWAY RIDERS

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    My thesis paper describes my master art project of paintings about the New York City Subway riders commuting routine prior and during the Coronavirus. As a regular subway rider myself I am closely connected with this particular art project because I witnessed the subway riders endure the most contagious viral pandemic of the 21st century. My thesis recounts how from a few sketches and photo shots of people in the subway this art project developed into a collection of paintings carefully completed on large linen canvas and acrylic medium. The initial set of my paintings narrate typical NYC subway rider routines prior to the arrival of Covid-19. Mainly portraits of persons riding alone; families socializing; visitors planning their next destinations, etc. However, the remaining set of paintings, completed during the pandemic, depict riders absorbed in a tense and unpleasant NYC subway routine evidently revealing the signs of a dire pandemic. Primarily, my thesis paper mostly emphasizes how the global viral pandemic of Covid-19 altered in a significant degree our NYC subway rider’s routine. Now riders consistently wear face masks, mind social distance and avoid social interactions. As illustrated through my paintings and accentuated in my thesis paper, these required sanitary rules and adapted safety measures clearly transformed the once lively ambience of the NYC subway commute. Just as embodied in my thesis document, it is evident that we, loyal NYC subway riders, have been profoundly affected by the intrusive Coronavirus. Yet, we also know that hope is on the horizon
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