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 …
Big data analytics meets social media: A systematic review of techniques, open issues, and future directions
SB Abkenar, MH Kashani, E Mahdipour… - Telematics and …, 2021 - Elsevier
Abstract Social Networking Services (SNSs) connect people worldwide, where they
communicate through sharing contents, photos, videos, posting their first-hand opinions …
communicate through sharing contents, photos, videos, posting their first-hand opinions …
[PDF][PDF] Adapting CRISP-DM process for social network analytics: Application to healthcare
One of the key limitations about research involving big data is the lack of a sound
methodological process that drives the conceptual and analytical questions posed to the …
methodological process that drives the conceptual and analytical questions posed to the …
Resource efficient algorithms for message sampling in online social networks
L Burchard, DT Schroeder, S Becker… - … Conference on Social …, 2020 - ieeexplore.ieee.org
Sampling the network structure of online social networks is a widely discussed topic as it
enables a wide variety of research in computational social science and associated fields …
enables a wide variety of research in computational social science and associated fields …
Extracting insights from social media with large-scale matrix approximations
Social media platforms such as blogs, Twitter® accounts, and online discussion sites are
large-scale forums where every individual can potentially voice an influential public opinion …
large-scale forums where every individual can potentially voice an influential public opinion …
Data Driven Modeling Social Media Influence using Differential Equations
Individuals modify their opinions towards a topic based on their social interactions. Opinion
evolution models conceptualize the change of opinion as a uni-dimensional continuum, and …
evolution models conceptualize the change of opinion as a uni-dimensional continuum, and …
[图书][B] Probabilistic Approaches for Social Media Analysis: Data, Community and Influence
K Yue, J Li, H Wu, W Liu, Z Yin - 2020 - books.google.com
This unique compendium focuses on the acquisition and analysis of social media data. The
approaches concern both the data-intensive characteristics and graphical structures of …
approaches concern both the data-intensive characteristics and graphical structures of …
Report on the 8th International Workshop on Mining Actionable Insights from Social Networks (MAISoN'22)-Special Edition on Mental Health and Social Media at …
The eighth edition of the workshop on Mining Actionable Insights from Social Networks
(MAISoN 2022) took place virtually on April 26th, 2022, co-located with the ACM Web …
(MAISoN 2022) took place virtually on April 26th, 2022, co-located with the ACM Web …
Big data analytics for social networks
The last few years have witnessed a dramatic upswing in the volume, variety, and
acquisition rate of data from disparate sources. Among other factors, this “data deluge” has …
acquisition rate of data from disparate sources. Among other factors, this “data deluge” has …
Vizster: visualizing online social networks
M Lam, A Schulman - 2005 - pdfs.semanticscholar.org
Presented By: Mike Lam and Aaron Schulman Page 1 Vizster: Visualizing Online Social
Networks Jeffery Heer, Danah Boyd University of California, Berkeley Presented By: Mike …
Networks Jeffery Heer, Danah Boyd University of California, Berkeley Presented By: Mike …