Defining, Detecting, and Characterizing Power Users in Threads

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(3), P. 69 - 69

Published: March 16, 2025

Threads is a new social network that was launched by Meta in July 2023 and conceived as direct alternative to X. It unique case study the landscape, it content-based like X, but has an Instagram-based growth model, which makes significantly different from As recently, studies on are still scarce. One of most common investigations networks regards power users (also called influencers, lead users, influential etc.), i.e., those who can influence information dissemination, user behavior, ultimately current dynamics future development network. In this paper, we want contribute knowledge showing there indeed then attempt understand main features characterize them. The definition adopt here novel leverages four classical centrality measures Social Network Analysis. This ensures our benefit enormous accumulated literature over years. order conduct analysis, had build dataset, none existed contained necessary for studies. Once built such decided make open thus available all researchers perform analyses Threads. characterization contributions paper.

Language: Английский

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Systematic Literature Review

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 292 - 325

Published: May 22, 2024

The importance of ethics practiced by influencers must be considered. Influencers significantly impact their audience and can shape public opinion, attitudes, behaviors. Ethical behavior helps establish maintain trust with audience. are transparent, honest, authentic in content, which fosters credibility. transparent about partnerships, collaborations, sponsored content. have the potential to inspire empower make a difference. They influence adopt positive behaviors promoting social norms conducive more ethical compassionate society. prioritizing contribute healthier online community set example for others field. Based on above, it is intended systematically review bibliometric literature using Scopus database analysis 134 academic and/or scientific documents.

Language: Английский

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A modified time adaptive self-organizing map with stochastic gradient descent optimizer for automated food recognition system

Journal of Stored Products Research, Journal Year: 2024, Volume and Issue: 107, P. 102314 - 102314

Published: April 23, 2024

Language: Английский

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Influencer marketing: service supplier selection

Management Decision, Journal Year: 2025, Volume and Issue: 63(13), P. 146 - 173

Published: March 25, 2025

Purpose The main objective of this study is to lay the groundwork for a systematic approach selecting social media influencers (SMI) influencer marketing campaigns. Design/methodology/approach This achieves its by presenting an innovative framework that combines ordinal priority (OPA) with Delphi method. hybrid applied academic event promotion case study. original 22 selection criteria SMIs were derived from evaluation. These subsequently ranked using modified OPA select in and hierarchical fashion. Findings research proves effectiveness applying it Three top-level critical criteria, 13 intermediate-level six additional are revealed prioritization SMI criteria. methodical procedure allows more logical educated decision-making process best also feasibility proposed model. Practical implications Better campaigns resource allocation possible outcomes suggested framework, which marketers businesses can use as organized tool SMIs. Originality/value contributes field developing validating novel decision framework. work not only fills gap existing regarding quantitative models but expands applications method address service supplier problems.

Language: Английский

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TPEMLB: A novel two-phase energy minimized load balancing scheme for WSN data collection with successive convex approximation using mobile sink

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 15(10), P. 102849 - 102849

Published: July 6, 2024

Wireless Sensor Networks (WSNs) an energy consumption is a significant problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise system's flexibility and convenience data collection. The important role Load balancing techniques plays in extending network lifetime by uniformly spreading usage between WSN Data Collection for Two-Phase Energy Minimized Balancing Scheme (TPEMLB) with Sequential Convex Approximation (SCA), use movable sink, discovered this research. MS collects from nearby sensors called as sub-sinks along path it moves. collection throughput enhanced through efficient distribution among schedule. Geometric programming SCA methods make algorithm guaranteed convergence meet task. This research employs method discover best locations nodes while keeping restrictions mind. Using series convex optimization difficulties, technique repeatedly estimates optimal node positions that minimize ensuring sufficient coverage target region. In second stage, incorporate mobile drain traverses intelligently collect considers levels, rates, distance receptacle balance traffic decrease consumption. Subsequently, proposed model TPEMLB has higher deployment success rate efficiency, more extended lifetime, lower consumption, better load balancing, preferred solution unique challenge.

Language: Английский

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Enhancing Medical Image Security: A Deep Learning Approach with Cloud-based Color Space Scrambling

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5041 - 5054

Published: Aug. 12, 2024

Language: Английский

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Modeling of Artificial Intelligence-Based Automated Climate Control with Energy Consumption Using Optimal Ensemble Learning on a Pixel Non-Uniformity Metro System

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13302 - 13302

Published: Sept. 5, 2023

Climate control in a pixel non-uniformity metro system includes regulating the air, humidity, and temperature quality within trains stations to ensure passenger comfort safety. The climate PNU combines intelligent algorithms, energy-efficient practices, advanced technologies make healthy comfortable environment for passengers while reducing energy consumption. proposed an automated using improved salp swarm algorithm with optimal ensemble learning technique examines underlying factors, including indoor air temperature, wind direction, relative light sensor 1 (wavelength), return supply speed, airflow rate, temperature. Moreover, this new applies ISSA elect set of features. Then, process takes place approach comprising long short-term memory, gated recurrent unit, neural network. Lastly, Harris hawks optimization can be employed adjust hyperparameters related models. extensive results demonstrated supremacy algorithms over other approaches on systems.

Language: Английский

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Artificial hummingbird algorithm-optimized boosted tree for improved rainfall-runoff modelling

Journal of Hydroinformatics, Journal Year: 2023, Volume and Issue: 26(1), P. 203 - 213

Published: Dec. 13, 2023

Abstract Rainfall-runoff modelling is a critical component of hydrological studies, and its accuracy essential for water resource management. Recent advances in machine learning have led to the development more sophisticated rainfall-runoff models, but there still room improvement. This study proposes novel approach streamflow that uses artificial hummingbird algorithm (AHA) optimize boosted tree algorithm. AHA-boosted model was compared against two established methods, support vector (SVM) Gaussian process regression (GPR), using variety statistical graphical performance measures. The results showed significantly outperformed SVM GPR with an R2 0.932, RMSE 5.358 m3/s, MAE 2.365 MSE 28.705 m3/s. followed while had least accurate performance. However, all models underperformed capturing peak flow hydrograph. Evaluations both measures, including time series plots, scatter Taylor diagrams, were this assessment. suggest could potentially be superior alternative enhancing precision modelling, despite certain challenges predicting events.

Language: Английский

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Exploring the impact of Instagram like visibility on self-confidence

Jurnal Kajian Komunikasi, Journal Year: 2023, Volume and Issue: 11(2), P. 180 - 180

Published: Dec. 31, 2023

Background: Instagram allegedly hid the number of likes due to its alleged negative effect. However, it now allows users choose their visibility settings. Users can either hide or show likes, which has become a conversation topic among users. Some responded positively, while others had less favorable responses. Moreover, because they consider “like” feature one Instagram’s key differentiators, some continue display them. Purpose: This study explores users’ choices in configuring Instagram-like settings and underlying motivations. Additionally, also examines role Instagram-Likes boosting self-confidence. Method: research used quantitative descriptive method involving 703 students from Communication Science Study Program at Halu Oleo University, Indonesia. The sample consisted 70 individuals aged 18 24. data analysis statistics provide general overview each variable, displayed with frequency chart. Researchers qualitative for comparative purposes enhance results. Result: Most respondents chose indicate categorizing motives into neutral, positive, categories. are relatively insignificant aspect life. On positive side, offer benefits users, such as validation recognition. Conversely, flaunting one’s be viewed seeking showing off. It is worth noting that who conceal do so safeguard self-esteem mental well-being. Another finding this Instagram-Like strengthen Conclusion: have complete control over options allow them like count not. increase consideration ‘likes’ manifestation praise, appreciation, acceptance, admiration, love prevailing sentiment individuals. Implication: researchers expect will new insights using social media wisely health.

Language: Английский

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Probabilistic Forecasting of Hourly Wind Power Load in South Africa

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 268 - 285

Published: May 1, 2024

Forecasters must make some educated assumptions about future electricity demand and effectively explain them because real forecasted always differ. In order to forecast wind power load base stations in South Africa, the authors evaluate hourly generation this chapter. The predicted time series can be used show flow of trend for electricity. Because noise original series, they provide enhanced gradient-boosted decision tree algorithm based on Kalman filter (GBDT-KF). They compare how well proposed GBDT-KF method performs with varying numbers trees. Re-sampling is cross-validated three times at a 10 fold interval. employment MSE, RMSE, MAE, MAPE allowed selection best model. As result, total findings showed that 90% test data 92% training were successful. study will helpful energy sector decision-makers planning use forecasting domain.

Language: Английский

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