Analysis and Modeling of Video Popularity Evolution in Various Online Video Content Systems: Power-Law versus Exponential Decay

2009 ◽  
Author(s):  
Zlatka Avramova ◽  
Sabine Wittevrongel ◽  
Herwig Bruneel ◽  
Danny De Vleeschauwer
Keyword(s):  
Exponential Decay ◽  
Power Law ◽  
Online Video ◽  
Video Content

scholarly journals Can Watching Online Videos Be Addictive? A Qualitative Exploration of Online Video Watching among Chinese Young Adults

2021 ◽  
Vol 18 (14) ◽  
pp. 7247
Author(s):  
Zeyang Yang ◽  
Mark Griffiths ◽  
Zhihao Yan ◽  
Wenting Xu
Keyword(s):  
Social Interaction ◽  
Short Form ◽  
Leisure Activity ◽  
Online Video ◽  
Video Content ◽  
Structured Interviews ◽  
Negative Effects ◽  
Online Videos ◽  
Chinese Young Adults ◽  
Qualitative Exploration

Watching online videos (including short-form videos) has become the most popular leisure activity in China. However, a few studies have reported the potential negative effects of online video watching behaviors (including the potential for ‘addiction’) among a minority of individuals. The present study investigated online video watching behaviors, motivational factors for watching online videos, and potentially addictive indicators of watching online videos. Semi-structured interviews were conducted among 20 young Chinese adults. Qualitative data were analyzed using thematic analysis. Eight themes were identified comprising: (i) content is key; (ii) types of online video watching; (iii) platform function hooks; (iv) personal interests; (v) watching becoming habitual; (vi) social interaction needs; (vii) reassurance needs; and (viii) addiction-like symptoms. Specific video content (e.g., mukbang, pornography), platform-driven continuous watching, and short-form videos were perceived by some participants as being potentially addictive. Specific features or content on Chinese online video platforms (e.g., ‘Danmu’ scrolling comments) need further investigation. Future studies should explore users’ addictive-like behaviors in relation to specific types of online video content and their social interaction on these platforms.

"SPIRAL WAVE–TRAVELING CLUSTERING" INTERMITTENCY AND 1/f-NOISE IN A 2D COUPLED MAP LATTICE

1999 ◽  
Vol 09 (05) ◽  
pp. 929-937 ◽  
Author(s):  
MARK A. PUSTOVOIT ◽  
VALERY I. SBITNEV
Keyword(s):  
Probability Density ◽  
Exponential Decay ◽  
Power Law ◽  
Strange Attractor ◽  
Spiral Wave ◽  
Spiral Waves ◽  
Coupled Map Lattice ◽  
The Self ◽  
Saddle Node Bifurcation ◽  
Self Organized

Intermittency of checkerboard spiral waves and traveling clusterings originating from sudden shrinking of the strange attractor of the 2D CML in the neighborhood of the saddle-node bifurcation boundary is found. A power-law probability density for lifetimes in the spiral wave (laminar) phase is observed, while in the checkerboard clusterings (bursting) phase the above quantity exhibits an exponential decay. This difference can be interpreted through the self-organized behavior of the spiral waves, and the passive relaxation of the disordered checkerboard clusterings.

scholarly journals Novel Fractional Operators with Three Orders and Power-Law, Exponential Decay and Mittag–Leffler Memories Involving the Truncated M-Derivative

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 626 ◽  
Author(s):  
Jesús Emmanuel Solís-Pérez ◽  
José Francisco Gómez-Aguilar
Keyword(s):  
Numerical Analysis ◽  
Exponential Decay ◽  
Power Law ◽  
Chaotic Attractor ◽  
Lagrange Interpolation ◽  
Fractional Derivatives ◽  
Initial Conditions ◽  
Fractional Operators ◽  
Conformable Derivative ◽  
Sensitive Dependence

In this research, novel M-truncated fractional derivatives with three orders have been proposed. These operators involve truncated Mittag–Leffler function to generalize the Khalil conformable derivative as well as the M-derivative. The new operators proposed are the convolution of truncated M-derivative with a power law, exponential decay and the complete Mittag–Leffler function. Numerical schemes based on Lagrange interpolation to predict chaotic behaviors of Rucklidge, Shimizu–Morioka and a hybrid strange attractors were considered. Additionally, numerical analysis based on 0–1 test and sensitive dependence on initial conditions were carried out to verify and show the existence of chaos in the chaotic attractor. These results showed that these novel operators involving three orders, two for the truncated M-derivative and one for the fractional term, depict complex chaotic behaviors.

Magnetic Penetration Depth Measurements and Inhomogeneity in YBa2Cu3O7−δ Superconducting Thin Films

1990 ◽  
Vol 195 ◽  
Author(s):  
Steven M. Anlage ◽  
Brian W. Langley ◽  
Jurgen Halbritter ◽  
Chang-Beom Eom ◽  
Neil Switz ◽  
...  
Keyword(s):  
Thin Films ◽  
Temperature Dependence ◽  
Penetration Depth ◽  
Exponential Decay ◽  
Power Law ◽  
Low Temperatures ◽  
Bcs Theory ◽  
Magnetic Penetration Depth ◽  
Microstrip Resonator ◽  
Magnetic Penetration

ABSTRACTThe microstrip resonator technique has been applied to study the temperature dependence of the magnetic penetration depth in high quality YBa2Cu3O7−δ thin films. The temperature dependence at low temperatures comes out directly from measured data, with no assumptions about transmission line geometry, dielectric properties, or a model for the temperature dependence of the penetration depth. One can interpret the data in terms of either an exponential decay of λ(T) at low temperatures or as a power law decay. The energy gaps obtained from the exponential decay at low temperature are found to be significantly smaller than weak coupled BCS theory and power-law exponents are in the range of 1.3 to 3.2. These results will be discussed in terms of microscopic theories and the possibility that materials properties dominate the measurement.

Where are the ‘key’ words? Optimizing multimedia textual attributes to improve viewership

First Monday ◽  
2015 ◽  
Author(s):  
Tatiana Pontes ◽  
Elizeu Santos-Neto ◽  
Jussara Almeida ◽  
Matei Ripeanu
Keyword(s):  
Hybrid Approach ◽  
Online Video ◽  
Video Content ◽  
Tag Recommendation ◽  
Operational Costs ◽  
Youtube Videos ◽  
Textual Features ◽  
Selection For ◽  
The Impact

Multimedia content is central to our experience on the Web. Specifically, users frequently search and watch videos online. The textual features that accompany such content (e.g., title, description, and tags) can generally be optimized to attract more search traffic and ultimately to increase the advertisement-generated revenue.This study investigates whether automating tag selection for online video content with the goal of increasing viewership is feasible. In summary, it shows that content producers can lower their operational costs for tag selection using a hybrid approach that combines dedicated personnel (often known as ‘channel managers’), crowdsourcing, and automatic tag suggestions. More concretely, this work provides the following insights: first, it offers evidence that existing tags for a sample of YouTube videos can be improved; second, this study shows that an automated tag recommendation process can be efficient in practice; and, finally it explores the impact of using information mined from various data sources associated with content items on the quality of the resulting tags.

Analysis on Students’ Online Video Content Preference

2018 ◽  
Vol 24 (1) ◽  
pp. 524-526 ◽  
Author(s):  
Hendy Kasim ◽  
Asnan Furinto ◽  
Ronnie Resdianto Masman
Keyword(s):  
Online Video ◽  
Video Content

Gender differentials and implicit feedback on online video content: enhancing user interest evaluation

2019 ◽  
Vol 119 (5) ◽  
pp. 1128-1146
Author(s):  
Woonkian Chong ◽  
Simon Rudkin ◽  
Junhui Zhang
Keyword(s):  
User Interaction ◽  
Implicit Feedback ◽  
Online Video ◽  
Video Content ◽  
User Characteristics ◽  
User Interest ◽  
Normal Behaviour ◽  
Content Type ◽  
Gender Differentials ◽  
Site Design

Purpose Exponential growth in online video content makes viewing choice and video promotion increasingly challenging. While explicit recommendation systems have value, they inherently distract the user from normal behaviour and are open to numerous biases. To enhance user interest evaluation accuracy, the purpose of this paper is to comprehensively examine the relationship between implicit feedback and online video content, and reviews gender differentials in the interest indicated by a comprehensive set of viewer responses. Design/methodology/approach This paper includes 200 useable observations based on an experiment of user interaction with the Youku platform (one of the largest video-hosting websites in China). Logistic regression was employed for its simple interpretation to test the proposed hypotheses. Findings The findings demonstrate gender differentials in cursor movement behaviour, explainable via well-studied splits in personality, biological factors, primitive behaviour and emotion management. This work offers a solution to the sparsity of work on implicit feedback, contributing to the literature that combines explicit and implicit feedback. Practical implications This study offers a launch point for further work on human–computer interaction, and highlights the importance of looking beyond individual metrics to embrace wider human traits in video site design and implementation. Originality/value This paper links implicit feedback to online video content for the first time, and demonstrates its value as an interest capturing tool. By reviewing gender differentials in the interest indicated by a comprehensive set of viewer responses, this paper indicates how user characteristics remain critical. Consequently, this work signposts highly fruitful directions for both practitioners and researchers.

scholarly journals Power-law tail in lag time distribution underlies bacterial persistence

2019 ◽  
Vol 116 (36) ◽  
pp. 17635-17640 ◽  
Author(s):  
Emrah Şimşek ◽  
Minsu Kim
Keyword(s):  
Population Dynamics ◽  
Antibiotic Treatment ◽  
Rate Constant ◽  
Exponential Decay ◽  
Power Law ◽  
Time Distribution ◽  
Molecular Mechanisms ◽  
Lag Time ◽  
Phenotypic Heterogeneity ◽  
Power Law Decay

Genetically identical microbial cells respond to stress heterogeneously, and this phenotypic heterogeneity contributes to population survival. Quantitative analysis of phenotypic heterogeneity can reveal dynamic features of stochastic mechanisms that generate heterogeneity. Additionally, it can enable a priori prediction of population dynamics, elucidating microbial survival strategies. Here, we quantitatively analyzed the persistence of an Escherichia coli population. When a population is confronted with antibiotics, a majority of cells is killed but a subpopulation called persisters survives the treatment. Previous studies have found that persisters survive antibiotic treatment by maintaining a long period of lag phase. When we quantified the lag time distribution of E. coli cells in a large dynamic range, we found that normal cells rejuvenated with a lag time distribution that is well captured by an exponential decay [exp(−kt)], agreeing with previous studies. This exponential decay indicates that their rejuvenation is governed by a single rate constant kinetics (i.e., k is constant). Interestingly, the lag time distribution of persisters exhibited a long tail captured by a power-law decay. Using a simple quantitative argument, we demonstrated that this power-law decay can be explained by a wide variation of the rate constant k. Additionally, by developing a mathematical model based on this biphasic lag time distribution, we quantitatively explained the complex population dynamics of persistence without any ad hoc parameters. The quantitative features of persistence demonstrated in our work shed insights into molecular mechanisms of persistence and advance our knowledge of how a microbial population evades antibiotic treatment.

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