Analyzing users' activity in online social networks over time through a multi-agent framework

E del Val, C Martínez, V Botti - Soft Computing, 2016 - Springer
The number of people and organizations using online social networks as a new way of
communication is continually increasing. Messages that users write in networks and their …

[图书][B] Learning social media analytics with R

R Bali, D Sarkar, T Sharma - 2017 - books.google.com
Tap into the realm of social media and unleash the power of analytics for data-driven
insights using R About This Book A practical guide written to help leverage the power of the …

A survey on influence and information diffusion in twitter using big data analytics

R El Bacha, TT Zin - Big Data Analysis and Deep Learning Applications …, 2019 - Springer
By now, even if we are still geographically situated, we're able to reach, connect and know
about each other through social networks like never before. Among all popular Social …

DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property

M Ramezani, A Ahadinia, E Farhadi… - arXiv preprint arXiv …, 2023 - arxiv.org
The fast growth of social networks and their data access limitations in recent years has led to
increasing difficulty in obtaining the complete topology of these networks. However, diffusion …

A mathematical model for friend discovery from dynamic social graphs

CK Leung, SP Singh - Proceedings of the 2021 IEEE/ACM International …, 2021 - dl.acm.org
Nowadays, social networking is popular. As such, numerous social networking sites (eg,
Facebook, YouTube, Instagram) are generating very large volumes of social data rapidly …

Everyone's invited: A new paradigm for evaluation on non-transferable datasets

D Jurgens, T Finethy, C Armstrong… - Proceedings of the …, 2015 - ojs.aaai.org
Social media data mining and analytics has stimulated a wide array of computational
research. Traditionally, individual researchers are responsible for acquiring and managing …

[PDF][PDF] Analysis and visualization considerations for quantitative social science research using social media data

B Jensen, L Singh, P Davis-Kean, K Abraham, P Beatty… - 2021 - osf.io
In 2019, a group of computer and social scientists began a project to 'converge'the two fields
of research, with the aim of harnessing data from social media to improve our understanding …

Social media mining and analysis: a brief review of recent challenges

N Thakur - Information, 2023 - mdpi.com
Social media platforms are a type of web-based applications that are built on the conceptual
and technical underpinnings of Web 2.0 and enable the generation and dissemination of …

Social convos: A new approach to modeling information diffusion in social media

G Katsios, N Sa, T Strzalkowski - … on Human Factors in Artificial Intelligence …, 2020 - Springer
A common approach, adopted by most current research, represents users of a social media
platform as nodes in a network, connected by various types of links indicating the different …

Semantic Social Network Analysis

NMA Luz - 2010 - search.proquest.com
Over the last few years, online social networks have become part of society, affecting the
way people interact, and share and spread ideas. Their large and still increasing popularity …