Extracting interrelated information from road-related social media data

Zhou, Shenghua; Ng, S. Thomas; Huang, Gan; Dao, Jicao; Li, Dezhi

doi:10.1016/j.aei.2022.101780

Cited by 5 publications

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Social networking platforms such as Instagram, Twitter, and Facebook play a crucial role in disseminating real-time information. These platforms act as real-time for social trends and events [1]. A recent report demonstrated that most real-world events are first reported and spread through these social media platforms rather than traditional media like newspapers or television.…”

Section: Introductionmentioning

confidence: 99%

A Review of Research on Social Network Event Detection Methods

Chen

2024

IJCSIT

View full text Add to dashboard Cite

In recent years, with the development of technological infrastructure and the use of tech products, internet usage has become widespread globally. Significant advancements have been made in the use of social networks, which are now more readily accessible through Internet and Web 3.0 technologies such as Facebook, Twitter, and Instagram. Consequently, over the past decade, numerous researchers have been developing methods for event detection based on data collected from social media platforms. The methodologies devised for discovering events are typically modular in design and novel in terms of scale and speed. To review the research in this field, we have compiled existing works on social network event detection and conducted a comprehensive and in-depth survey. Methods for social network event detection are elaborated and categorized, with performance evaluations conducted using relevant metrics. Finally, we offer perspectives on future directions.

show abstract

Section: Introductionmentioning

confidence: 99%