Extracting emerging knowledge from social media
Massive data integration technologies have been recently used to produce very large
ontologies. However, knowledge in the world continuously evolves, and ontologies are …
ontologies. However, knowledge in the world continuously evolves, and ontologies are …
A large-scale community structure analysis in Facebook
E Ferrara - EPJ Data Science, 2012 - Springer
Understanding social dynamics that govern human phenomena, such as communications
and social relationships is a major problem in current computational social sciences. In …
and social relationships is a major problem in current computational social sciences. In …
[图书][B] Emerging research challenges and opportunities in computational social network analysis and mining
N Agarwal, N Dokoohaki, S Tokdemir - 2019 - Springer
Emerging Research Challenges and Opportunities in Computational Social Network Analysis
and Mining | SpringerLink Skip to main content Advertisement SpringerLink Log in Menu Find a …
and Mining | SpringerLink Skip to main content Advertisement SpringerLink Log in Menu Find a …
Social media intelligence and learning environment: An open source framework for social media data Collection, Analysis and Curation
Social Media Intelligence and Learning Environment (SMILE) is an open source framework
bringing cutting-edge computational models on social media data to social science …
bringing cutting-edge computational models on social media data to social science …
Introduction to the topical issue on semantic social networks and media applications
I Anagnostopoulos, M Wallace, S Zeadally - Social Network Analysis and …, 2017 - Springer
Online social networks have been with us since the early days of Six Degrees in 1997, whilst
the semantic web in the form we know it emerged in 2001. Yet, only recently have the two …
the semantic web in the form we know it emerged in 2001. Yet, only recently have the two …
A Twitter social contagion monitor
We describe and validate a system for monitoring social contagions on Twitter: social
movements, rumors, and emotional outbursts that spread from person to person in a viral …
movements, rumors, and emotional outbursts that spread from person to person in a viral …
Social Network Analysis Visualization Tools: A Comparative Review
S Majeed, M Uzair, U Qamar… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Social network analysis helps analysts to study the relationships among different nodes of a
network and get valuable insights. The common output of social networks analysis is …
network and get valuable insights. The common output of social networks analysis is …
Community detection in content-sharing social networks
Network structure and content in microblogging sites like Twitter influence each other---user
A on Twitter follows user B for the tweets that B posts on the network, and A may then re …
A on Twitter follows user B for the tweets that B posts on the network, and A may then re …
[图书][B] Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy
A Bhattacharjee - 2019 - search.proquest.com
Social media platforms are interconnected environments that influence each other.
Information from one social media platform spreads to another. This thesis proposes a …
Information from one social media platform spreads to another. This thesis proposes a …
On network backbone extraction for modeling online collective behavior
Collective user behavior in social media applications often drives several important online
and offline phenomena linked to the spread of opinions and information. Several studies …
and offline phenomena linked to the spread of opinions and information. Several studies …