A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

# Plasticfreejuly–analyzing a worldwide campaign to reduce single-use plastic consumption with twitter

LM Heidbreder, M Lange, G Reese - Environmental …, 2021 - Taylor & Francis
Plastic pollution is ubiquitous in the environment. One initiative that tackles this global
environmental problem is the “Plastic Free July,” a worldwide campaign encouraging …

Location-based social network data for tourism destinations

K Vassakis, E Petrakis, I Kopanakis, J Makridis… - Big data and innovation …, 2019 - Springer
Social media networks are a resource for valuable knowledge about tourist destinations
through the collection of data by Location-Based Social Networks (LBSN). A major problem …

Dynamic topic modeling via self-aggregation for short text streams

L Shi, J Du, M Liang, F Kou - Peer-to-peer Networking and applications, 2019 - Springer
Social networks such as Twitter, Facebook, and Sina microblogs have emerged as major
sources for discovering and sharing the latest topics. Because social network topics change …

A word embedding topic model for topic detection and summary in social networks

L Shi, G Cheng, S **e, G **e - Measurement and Control, 2019 - journals.sagepub.com
The aim of topic detection is to automatically identify the events and hot topics in social
networks and continuously track known topics. Applying the traditional methods such as …

Location intelligence for tourism destinations: a big data comparative analysis through location-based social networks

K Vassakis, E Petrakis, I Kopanakis… - … Journal of Tourism …, 2021 - inderscienceonline.com
The existing practical research that social media and location intelligence in tourism is
utilising a part of the possibilities that big data analytics can offer. Therefore, innovative big …

Systematic literature review of detecting topics and communities in social networks

ÖA Şencan, İ Atacak, İ Dogru - Bilişim Teknolojileri Dergisi, 2022 - dergipark.org.tr
In the recent past and in today's world, the internet is advancing rapidly and is easily
accessible; this growth has made the social media platforms such as Facebook, Instagram …

Characterizing and Understanding Development of Social Computing Through DBLP: A Data-Driven Analysis

J Wu, B Ye, Q Gong, A Oksanen, C Li… - Journal of Social …, 2022 - ieeexplore.ieee.org
During the past decades, the term “social computing” has become a promising
interdisciplinary area in the intersection of computer science and social science. In this work …

Image-enhanced multi-modal representation for local topic detection from social media

J Chen, N Gao, Y Zhang, C Tu - … , DASFAA 2021, Taipei, Taiwan, April 11 …, 2021 - Springer
Detecting local topics from social media is an important task for many applications, ranging
from event tracking to emergency warning. Recent years have witnessed growing interest in …

[PDF][PDF] Sosyal Ağlarda Topluluk ve Konu Tespiti: Bir Sistematik Literatür Taraması

ÖA ŞENCAN, İ Atacak, İA DOĞRU - International Journal of …, 2022 - researchgate.net
Günümüzde internetin hızlı bir şekilde gelişmesi ve kolay bir şekilde ulaşılır olması;
Facebook, Instagram, Twitter ve LinkedIN gibi yaygın kullanılan sosyal iletişim platformlarını …