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Generative models of online discussion threads: state of the art and research challenges

Pablo Aragón, Vicenç Gómez, David García, Andreas Kaltenbrunner
2017 Journal of Internet Services and Applications  
In this paper, we review research on statistical modeling of online discussions, in particular, we describe current generative models of the structure and growth of discussion threads.  ...  We aim to provide a clear overview of the state of the art and to motivate future work in this relevant research field.  ...  Acknowledgments We would like to thank David Laniado for his valuable discussions and suggestions that helped to improve the manuscript.  ... 
doi:10.1186/s13174-017-0066-z fatcat:tfmatj7fnvcbvbjccojid7jgxi

Mining Social Media: A Brief Introduction [chapter]

Pritam Gundecha, Huan Liu
2012 2012 TutORials in Operations Research  
The pervasive use of social media has generated unprecedented amounts of social data. Social media provides easily an accessible platform for users to share information.  ...  Mining social media has its potential to extract actionable patterns that can be beneficial for business, users, and consumers.  ...  Acknowledgments The authors thank Huiji Gao, Shamanth Kumar, Jiliang Tang, and DMML members for their assistance and feedback in preparing this tutorial.  ... 
doi:10.1287/educ.1120.0105 fatcat:isni3ylvsrgcxkgnvtgr3v5bcu

Analyzing the Dynamics of Communication in Online Social Networks [chapter]

Munmun De Choudhury, Hari Sundaram, Ajita John, Doree Duncan Seligmann
2010 Handbook of Social Network Technologies and Applications  
This dissertation deals with the analysis of interpersonal communication dynamics in online social networks and social media.  ...  models and finally discuss large-scale quantitative observational studies for each of these organizing ideas.  ...  In (Gonzalez and Herrmann, 2006) , the authors propose a novel model for networks of complex interactions, based on a granular system of mobile agents whose collision dynamics is governed by an efficient  ... 
doi:10.1007/978-1-4419-7142-5_4 fatcat:d2mn6rm64zg2bdgo4kdoysyi64

The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools [article]

David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz, Antonio Gonzalez-Pardo, Erik Cambria
2020 arXiv   pre-print
The main contribution of this work is three-fold: (1) we provide an up-to-date literature review of the state of the art on social network analysis (SNA);(2) we propose a set of new metrics based on four  ...  These dimensions, together with the defined degrees, allow evaluating and measure the maturity of social network technologies, looking for both a quantitative assessment of them, as to shed light to the  ...  The SNA 4-Dimensions website: We would like to encourage the community to provide its own evaluations, of both the tools that have been evaluated in this paper as well as others  ... 
arXiv:2002.09485v1 fatcat:4b6fgh3lkvgn7cfx7mrwtyq24a

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science [article]

Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
2021 arXiv   pre-print
However, these large-scale and multi-modal data also present researchers with a great challenge: how to represent data effectively to mine the meanings we want in CSS?  ...  Afterwards, we present the applications of the above representations based on the investigation of more than 400 research articles from 6 top venues involved with CSS.  ...  To understand the universality and diversity in how humans understand and experience emotion, [179] built a network of emotion concepts (e.g.  ... 
arXiv:2106.14198v1 fatcat:dvy5awnfuvbnnkzusjl5wbhfki

29th International Conference on Data Engineering [book of abstracts]

2013 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)  
We propose to demo Aeolus using an interactive Web UI. One part of the Web UI is a topology builder allowing the user to interact with the system.  ...  it copes with the sheer size of real-life social graphs by supporting incremental query evaluation and query preserving graph compression, and (3) how the GUI of ExpFinder interacts with users to help  ...  These volunteers welcome participants, give directions, help in the sessions and on the registration desk, and generally make sure the conference is running smoothly.  ... 
doi:10.1109/icdew.2013.6547409 fatcat:wadzpuh3b5htli4mgb4jreoika

Influence analysis: A survey of the state-of-the-art

Meng Han, Yingshu Li
2018 Mathematical Foundations of Computing  
Online social networks have seen an exponential growth in number of users and activities recently.  ...  The rapid proliferation of online social networks provides rich data and infinite possibilities for us to analyze and understand the complex inherent mechanism which governs the evolution of the new online  ...  Graph, as one of the most important data structures, is an effective model to represent a social network.  ... 
doi:10.3934/mfc.2018010 fatcat:n2vnokuivbbdjjuptgyzurhceu

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning [article]

Tharindu Bandaragoda
2020 arXiv   pre-print
Based on this framework two platforms were built to capture insights from fast-paced and slow-paced social data.  ...  such as demographics, emotions and timeline of personal events.  ...  , leading to an exponential increase in social media platforms for social interactions.  ... 
arXiv:2009.09078v1 fatcat:izo3eyjc4vdo3jnttt7omvsv5q

Self-Organization in Network Sociotechnical Systems

Svetlana Maltseva, Vasily Kornilov, Vladimir Barakhnin, Alexander Gorbunov, Yue Song
2022 Complexity  
It is shown that discrete models prevail at the micro level. Furthermore, the review deals with the features of using continuous models for modeling at the macro level.  ...  We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; we analyze models used for modeling self-organizing  ...  Acknowledgments is work was supported by the Russian Foundation for Basic Research (Project 20-07-00651 A-Investigation into the stability of self-organizing distributed digital systems based on models  ... 
doi:10.1155/2022/5714395 fatcat:efj5oypcx5fx3io52aqryigsde

Using Social Media to Predict the Future: A Systematic Literature Review [article]

Lawrence Phillips, Chase Dowling, Kyle Shaffer, Nathan Hodas and Svitlana Volkova
2017 arXiv   pre-print
Because user behavior on SM is a reflection of events in the real world, researchers have realized they can use SM in order to forecast, making predictions about the future.  ...  Based on the existing literature, we identify research practices which lead to success, citing specific examples in each case and making recommendations for best practices.  ...  polarization and its effect on SM interactions.  ... 
arXiv:1706.06134v1 fatcat:w5t4r2ucunebnaz4rp2ta6zqm4

Modeling and Data Mining in Blogosphere

Nitin Agarwal, Huan Liu
2009 Synthesis Lectures on Data Mining and Knowledge Discovery  
Spam blogs or splogs is an increasing concern in Blogosphere, which is discussed in detail with the approaches leveraging supervised machine learning algorithms and interaction patterns.  ...  Generating synthetic data requires developing and fitting a model on the observed data.  ...  We dedicate this book to them, with love.  ... 
doi:10.2200/s00213ed1v01y200907dmk001 fatcat:ifz4ic57sfcwbltrboans35zzm

IRRODL Volume 15, Number 5

Various Authors
2014 International Review of Research in Open and Distance Learning  
the effectiveness of this format of teaching and learning.  ...  The dramatic increase in online education, particularly massive open online courses (MOOCs), presents researchers, academics, administrators, learners, and policy makers with a range of questions as to  ...  We would also like to thank the anonymous reviewers for providing feedback on our submission.  ... 
doi:10.19173/irrodl.v15i5.2040 fatcat:vphc3o7hqve6rhjv6mhtpbwt6q

The Challenges of Democratizing News and Information: Examining Data on Social Media, Viral Patterns and Digital Influence

John Wihbey
2014 Social Science Research Network  
In an era of big data, these are the models and tools that allow us to understand information and social networks in a more precise way.  ...  Facebook boasts more than a billion users, Twitter has a quarter-billion. The Sina Weibo microblogging platform in China sees nearly 150 million users a month.  ... 
doi:10.2139/ssrn.2466058 fatcat:dmf6pqfoira4bosxiufs2tvp6u

Exploring individual status and collaboration: three studies using social network analysis methods

Jameson McFarlane
The study provides evidence that although transitivity and reciprocity occur with a high level of interaction, there is very little dominance in the structure of the network.  ...  Among the most trendy and ubiquitous services provided on the web are online social networking sites such as Twitter, Facebook, and LinkedIn to name a few.  ...  This tremendous accomplishment would not have been realized were it not through the artful leadership, and amiable support and inspiration of some incredible people at each stage of this research process  ... 
doi:10.13016/m2tm8b fatcat:6fjhmdurafeu3nkqqsewmucaay

Emotional contagion and group polarization: experimental evidence on facebook

Fabiana Zollo
We focus on the Italian and US pages providing scientific and conspiracy information and we analyze a) users' emotional dynamics and b) their response to dissenting information.  ...  We offer tight quantitative evidence about the existence of echo chambers on online social media. Users tend to promote their beliefs and to form highly polarized groups.  ...  Acknowledgements viii Vita and Publications ix  ... 
doi:10.6092/imtlucca/e-theses/200 fatcat:edu4sceavbbiji7uvfbk2mhdwq
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