Lev Muchnik

Biographic Data

ID1832078
NAMELev Muchnik
GIVEN NAMESLev
FAMILY NAMEMuchnik
SIGNATUREMUCHNIK L
AFFILIATIONSHebrew University of Jerusalem
ORCID0000-0002-5011-8336
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS20
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2025
H-INDEX2

  • Lost in the fog

    Open AccessDanny Lesmy, Lev Muchnik et al.ARTICLEHumanities and Social Sciences…2025

    This study investigates the evolving readability of financial reporting by analyzing Item 7 of the 10-K reports over a 26-year period, utilizing a dataset of nearly 200,000 reports retrieved from SEC EDGAR filings. Our analysis reveals a significant decline in the readability of these reports over time, measured using the Fog Index. Specifically, we find that the number of years of schooling required to comprehend these texts increases by nearly …

  • Identity effects in social media

    Open AccessJ Taylor, Lev Muchnik et al.ARTICLENature Human Behaviour2022Cited by: 6References: 44

  • Realistic modelling of information spread using peer-to-peer diffusion patterns

    Open AccessBin Zhou, Sen Pei et al.ARTICLENature Human Behaviour2020Cited by: 1References: 52

  • Evolution through bursts

    Open AccessHilla Brot, Lev Muchnik et al.ARTICLENetwork Science2016References: 9

    Models of network evolution are based on the implicit assumption that network growth is continuous, uniform, and steady. Using the data collected from a large online-blogging platform, we show that the addition and removal of network ties by users do not occur sporadically at isolated nodes spread all over the network, as assumed by the vast majority of stochastic network models, but rather occur in brief bursts of intense local activity. These b…

  • Social Influence Bias

    Open AccessLev Muchnik, Sinan Aral et al.ARTICLEScience2013

    Follow the Leader? The Internet has increased the likelihood that our decisions will be influenced by those being made around us. On the one hand, group decision-making can lead to better decisions, but it can also lead to “herding effects” that have resulted in financial disasters. Muchnik et al. (p. 647 ) examined the effect of collective information via a randomized experiment, which involved collaboration with a social news aggregation Web si…

  • Engineering social contagions

    Open AccessSinan Aral, Lev Muchnik et al.ARTICLENetwork Science2013Cited by: 13References: 10

    We use data on a real, large-scale social network of 27 million individuals interacting daily, together with the day-by-day adoption of a new mobile service product, to inform, build, and analyze data-driven simulations of the effectiveness of seeding (network targeting) strategies under different social conditions. Three main results emerge from our simulations. First, failure to consider homophily creates significant overestimation of the effec…

  • Engineering Social Contagions

    Open AccessSinan Aral, Lev Muchnik et al.ARTICLESSRN Electronic Journal2011

  • Identification of influential spreaders in complex networks

    Open AccessMaksim Kitsak, Lazaros K Gallos et al.ARTICLENature Physics2010

  • Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks

    Open AccessSinan Aral, Lev Muchnik et al.ARTICLEProceedings of the National…2009

    Node characteristics and behaviors are often correlated with the structure of social networks over time. While evidence of this type of assortative mixing and temporal clustering of behaviors among linked nodes is used to support claims of peer influence and social contagion in networks, homophily may also explain such evidence. Here we develop a dynamic matched sample estimation framework to distinguish influence and homophily effects in dynamic…