An overview of aggregation methods for social networks analysis

L Hlaoua - Knowledge and Information Systems, 2024 - Springer
Creating systems that can interpret and manage the ambiguity and subjectivity of the
representation and retrieval of information is one of the issues facing information systems …

Identification of influencers in social media using social network analysis (SNA)

AM Pudjajana, D Manongga, A Iriani… - … Seminar on Research …, 2018 - ieeexplore.ieee.org
Social media is a communication media that is often used to connect many people around
the world. The inappropriate use of social media will have a negative impact. The example is …

Social network analysis of hadith narrators from Sahih Bukhari

T Alam, J Schneider - 2020 7th International Conference on …, 2020 - ieeexplore.ieee.org
The ahadith (plural of hadith), prophetic traditions for the Muslims worldwide, are narrations
originating from the sayings and the deeds of Prophet Muhammad (pbuh). They are …

[HTML][HTML] Complex network analysis of photovoltaic plant operations and failure modes

F Bonacina, A Corsini, L Cardillo, F Lucchetta - Energies, 2019 - mdpi.com
This paper presents a novel data-driven approach, based on sensor network analysis in
Photovoltaic (PV) power plants, to unveil hidden precursors in failure modes. The method is …

Influencer detection with dynamic graph neural networks

E Tiukhova, E Penaloza, M Óskarsdóttir… - arxiv preprint arxiv …, 2022 - arxiv.org
Leveraging network information for prediction tasks has become a common practice in many
domains. Being an important part of targeted marketing, influencer detection can potentially …

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks

E Tiukhova, E Penaloza, M Óskarsdóttir… - Ieee …, 2024 - ieeexplore.ieee.org
Leveraging network information for predictive modeling has become widespread in many
domains. Within the realm of referral and targeted marketing, influencer detection stands out …

Identifying influential users in on-line support forums using topical expertise and social network analysis

T Munger, J Zhao - Proceedings of the 2015 IEEE/ACM International …, 2015 - dl.acm.org
On-line support forums are a common method for businesses to provide product support for
customers. In addition to trouble-shooting and how-to guides, on-line forums also serve the …

Social media mining

R Marmo - Encyclopedia of organizational knowledge …, 2021 - igi-global.com
Individuals produce a large amount of freely available data by interacting, sharing, and
consuming content through social media. Social Media Mining is a systematic analysis of …

Análisis de influenciadores en Twitter: Una exploración en el ámbito del mercado NASDAQ

JSR Rincón, CA Osorio - Redes. Revista hispana para el análisis …, 2022 - revistes.uab.cat
El propósito de este trabajo es realizar una exploración de los principales influenciadores
en la red social Twitter; con relación a las comunidades de discusión enfocadas en …

A high throughput VLSI architecture design for H. 264 context-based adaptive binary arithmetic decoding with look ahead parsing

YC Yang, CC Lin, HC Chang, CL Su… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
In this paper we present a high throughput VLSI architecture design for context-based
adaptive binary arithmetic decoding (CABAD) in MPEG-4 AVC/H. 264. To speed-up the …