Seeing the forest for the trees: new approaches to forecasting cascades

S Krishnan, P Butler, R Tandon, J Leskovec… - Proceedings of the 8th …, 2016 - dl.acm.org
Cascades are a popular construct to observe and study information propagation (or
diffusion) in social media such as Twitter. and are defined using notions of influence, activity …

Efficient summarizing of evolving events from twitter streams

TH Nguyen, TA Hoang, W Nejdl - Proceedings of the 2019 SIAM International …, 2019 - SIAM
Twitter has been heavily used for users to report and share information about real-world
events. However, understanding the multiple aspects of an event as it happens is a very …

Social network analysis: tools, techniques, and technologies

S Jain, A Sinha - Social Network Analytics for Contemporary …, 2018 - igi-global.com
Over the last decade, technology has thrived to provide better, quicker, and more effective
platforms to help individuals connect and disseminate information to other individuals. The …

[图书][B] From sociology to computing in social networks: Theory, foundations and applications

N Memon, R Alhajj - 2010 - books.google.com
Important aspects of social networking analysis are covered in this work by combining
experimental and theoretical research. A specific focus is devoted to emerging trends and …

pytwanalysis: Twitter data management and analysis at scale

L Nogueira, J Tešić - 2021 Eighth International Conference on …, 2021 - ieeexplore.ieee.org
Trends and communities in social media networks shape news cycles, politics, public
governing, and economy these days. There is a wealth of information in the way users …

Social media analysis—text mining meets network mining

K Thiel, T Ko - Text Mining and Visualization, 2016 - api.taylorfrancis.com
Social media channels have become more and more important for many organizations in
order to reach targeted groups of individuals as well as understand the needs and behaviors …

Leveraging history for faster sampling of online social networks

Z Zhou, N Zhang, G Das - arXiv preprint arXiv:1505.00079, 2015 - arxiv.org
How to enable efficient analytics over such data has been an increasingly important
research problem. Given the sheer size of such social networks, many existing studies resort …

Dynamic social network analysis using latent space models

P Sarkar, AW Moore - Acm sigkdd explorations newsletter, 2005 - dl.acm.org
This paper explores two aspects of social network modeling. First, we generalize a
successful static model of relationships into a dynamic model that accounts for friendships …

Learning linear influence models in social networks from transient opinion dynamics

A De, S Bhattacharya, P Bhattacharya… - ACM Transactions on …, 2019 - dl.acm.org
Social networks, forums, and social media have emerged as global platforms for forming
and shaping opinions on a broad spectrum of topics like politics, sports, and entertainment …

NodeXL: Twitter social media network insights in just a few clicks

W Ahmed, H Meier, M Smith - The SAGE handbook of social media …, 2022 - torrossa.com
There are a number of popular automated and manual textual approaches to analyzing
social media data as well as various visualization packages (Ahmed, 2021). This chapter …