Social network analysis: From graph theory to applications with python
D Goldenberg - arXiv preprint arXiv:2102.10014, 2021 - arxiv.org
Social network analysis is the process of investigating social structures through the use of
networks and graph theory. It combines a variety of techniques for analyzing the structure of …
networks and graph theory. It combines a variety of techniques for analyzing the structure of …
[图书][B] Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
F Spezzano, W Chen, X Xiao - 2019 - dl.acm.org
The ASONAM conference series bring together researchers from around the world to share
the latest advances in the attractive field of Social Networks Analysis and Mining. The …
the latest advances in the attractive field of Social Networks Analysis and Mining. The …
Collective behavior analysis and graph mining in social networks 2021
Users in social networks may create new connections with other users, so they can interact
through those links, or they may break existing connections.[...] the structure of social …
through those links, or they may break existing connections.[...] the structure of social …
[引用][C] Network analysis in the big data age: mining graphs and social streams
CC Aggarwal - Keynote Talk, ECML/PKDD, 2014
Representation and analysis of Twitter activity: A dynamic network perspective
L Falzon, C McCurrie, J Dunn - Proceedings of the 2017 IEEE/ACM …, 2017 - dl.acm.org
Online interaction networks are highly dynamic. They provide opportunities to share
information more widely and faster than ever before, but result in rather complicated …
information more widely and faster than ever before, but result in rather complicated …
Traditional and deep learning approaches to information and influence propagation in social networks
S Cuomo, G Colecchia, F Piccialli… - … Conference on Signal …, 2018 - ieeexplore.ieee.org
Social network analysis is an interdisciplinary topic attracting researchers from biology,
economics, psychology, and machine learning. It has attracted interests from both the …
economics, psychology, and machine learning. It has attracted interests from both the …
Reliable online social network data collection
FB Abdesslem, I Parris, T Henderson - Computational social networks …, 2012 - Springer
Large quantities of information are shared through online social networks, making them
attractive sources of data for social network research. When studying the usage of online …
attractive sources of data for social network research. When studying the usage of online …
Community level diffusion extraction
How does online content propagate on social networks? Billions of users generate,
consume, and spread tons of information every day. This unprecedented scale of dynamics …
consume, and spread tons of information every day. This unprecedented scale of dynamics …
SAE: social analytic engine for large networks
Online social networks become a bridge to connect our physical daily life and the virtual
Web space, which not only provides rich data for mining, but also brings many new …
Web space, which not only provides rich data for mining, but also brings many new …