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A comprehensive ranking model for tweets big data in online social network

Li Kuang, Xiang Tang, MeiQi Yu, Yujian Huang, Kehua Guo
2016 EURASIP Journal on Wireless Communications and Networking  
In OSN, micro-blogging has grown rapidly to a popular online social network recently and provides a large number of real-time tweets for users.  ...  Online social network (OSN) is an important part of cyber physical system (CPS).  ...  Introduction In cyber physical system, online social network is a critical part which is able to collect various data from real users.  ... 
doi:10.1186/s13638-016-0532-5 fatcat:ro3q4va4erd5xoanc3k42cpeam

The Role of 'Big Data' in Online Platform Competition

Andres V. Lerner
2014 Social Science Research Network  
Naked assertions regarding the role of user data in online platform competition regrettably have replaced a careful and meaningful analysis of competition in online markets. 4.  ...  that have been the focus of the "big data" debate. 6.  ...  algorithm. 70 In addition, Bing has access to user data from online social network providers like Facebook and Twitter. 71 45.  ... 
doi:10.2139/ssrn.2482780 fatcat:ogvqq3x73jfgbascldurdfteza

Analyzing opinion dynamics in online social networks

Haotian Zhang, Krishna Vaidyanathan, Alan Tsang, Robin Cohen
2017 Big Data & Information Analytics  
In this paper, we examine the challenge of performing analyses of opinion dynamics in online social networks.  ...  These empirical results provide important insights to those seeking to examine and analyze patterns of influence within social networks. 2010 Mathematics Subject Classification.  ...  who face the challenge of performing meaningful analyses in the face of big data.  ... 
doi:10.3934/bdia.2016011 fatcat:mzsrauqainharhnzqolzrr3k5e

Detection of fickle trolls in large-scale online social networks

Hossein Shafiei, Aresh Dadlani
2022 Journal of Big Data  
Detection of so-called social trolls in these platforms is challenging due to their large scale and dynamic nature where users' data are generated and collected at the scale of multi-billion records per  ...  AbstractOnline social networks have attracted billions of active users over the past decade. These systems play an integral role in the everyday life of many people around the world.  ...  Considering a large dataset of user activities in an online social platform, we first extract a graph-theoretic model based on the data and then we discuss fickle troll detection in different scales.  ... 
doi:10.1186/s40537-022-00572-9 pmid:35223368 pmcid:PMC8857750 fatcat:ohcaulwwarabpli2523kl653c4

Online Public Health Intelligence: Ethical Considerations at the Big Data Era [chapter]

Hiroshi Mamiya, Arash Shaban-Nejad, David L. Buckeridge
2017 Lecture Notes in Social Networks  
Often times terms such as Big Data, increasing digital footprints in the Internet accompanied with advancing analytical techniques, represent a major opportunity to improve public health surveillance and  ...  We then discuss key strategies to mitigate potentially harmful aspects of Big Data to facilitate its safe and effective implementation.  ...  The advances in "Big Data" [19] research has created a unique opportunity to process these networks of heterogeneous data to generate explanatory and predictive models [20] , leading to field applications  ... 
doi:10.1007/978-3-319-68604-2_8 fatcat:azv7jkoo7fg2vgxssqq2bn7y6q

Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media

Wenping Zhang, Raymond Y. K. Lau, Chunping Li
2014 International Conference on Information Systems  
The explosive growth of user-contributed reviews in e-Commerce and online social network sites prompts for the design of novel big data analytics frameworks to cope with such a challenge.  ...  First, we design a novel big data analytics framework that leverages distributed computing and streaming to efficiently process big social media data streams.  ...  Acknowledgements The work described in this paper was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No.  ... 
dblp:conf/icis/ZhangLL14 fatcat:56ppl5oubjf6pnd4727jejufhe

Transformations, Opportunities and Challenges: How Government Copes with Online Public Opinion in Big Data Era

Jingyu Chen
2019 Open Journal of Social Sciences  
Online public opinion monitoring in government has, therefore, undergone a dramatic transformation in working methods, managerial concepts and data analysis technologies in order to keep pace with the  ...  For this purpose, the paper tries to offer a new insight into transformation and challenges of online public opinion in the big data era and puts forward some countermeasures as follows: 1) Construct a  ...  Characteristics and Challenges of Online Public Opinions in a Big Data Era Characteristics of Online Public Opinions in a Big Data Era With the emergence and rapid popularization of online social media  ... 
doi:10.4236/jss.2019.74034 fatcat:mg5w3aicebg3borobomldozkai

Prospects and Challenges of Population Health with Online and other Big Data in Africa

Rowland Edet, Bolarinwa Afolabi
2019 Advanced Journal of Social Science  
The purpose of this review was to summarize the challenges faced by big data analytics and the prospects that big data opens in health care services in Africa.  ...  Even though healthcare systems in the developed world are recording some breakthroughs due to the application of big data, it is important to research the impact of big data in developing regions of the  ...  (WHO, 2016; CDC, 2016) Big Data and the Social Media Social networking websites such as Twitter, Facebook, LinkedIn, YouTube, and Wikipedia have not only connected large user populations but have  ... 
doi:10.21467/ajss.6.1.57-63 fatcat:djzoquqmhnhl3m6alqmvja4uze

Does Online Search Predict Sales? Evidence from Big Data for Car Markets in Germany and the UK

Georg von Graevenitz, Christian Helmers, Valentine Millot, Oliver Turnbull
2016 Social Science Research Network  
We use online search data to predict car sales in the German and UK automobile industries. Search data subsume several distinct search motives, which are not separately observable.  ...  ABSTRACT We use online search data to predict car sales in the German and UK automobile industries. Search data subsume several distinct search motives, which are not separately observable.  ...  These data properties are commonly referred to as tall (large T ) and fat (large N ), characteristics well-known in the analysis of 'Big Data' (Varian, 2014) .  ... 
doi:10.2139/ssrn.2832004 fatcat:urjwbmhnp5ek7a2r5ygb6l36qa

Exploration of Quantitative Factors Affecting the Popularity of Users in an Online Community

Matti Etelapera, Mourad Oussalah
2019 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)  
These factors include yearly message network centrality figures, number of message, user quote amounts, number of characters in messages, etc.  ...  In this paper we explore factors and usage patterns on a Finnish football related online community FutisForum2 for receiving votes in a yearly voting for Forum User of the Year.  ...  This paper develops a social network-based approach to comprehend the key factors influencing users' participation in a popular sport-related Finnish online community Futisforum2.  ... 
doi:10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00241 dblp:conf/ispa/EtelaperaO19 fatcat:d7ukuy3ggnaxjj4e7exzew7lom

Investigating Social Network as Complex Network and Dynamics of User Activities

Hradesh Kumar, Sanjeev Kumar
2015 International Journal of Computer Applications  
To understand the user behavior on online social networks, determining the parameters of activities, identifying structure of interrelationship and exploration of dynamics are major issues of the paper  ...  Randomness of information flow in social network is inheriting property and user response varies with time and space so these allow us to select appropriate stochastic modeling technique.  ...  A Difference In The Behavior Of Online Social Network Users?  ... 
doi:10.5120/ijca2015905952 fatcat:n22vuxv36vemve2qjwflmajxwm

Collective behaviors and networks

Giovanni Luca Ciampaglia, Emilio Ferrara, Alessandro Flammini
2014 EPJ Data Science  
These include: modeling social dynamics of attention and collaboration, characterizing online group formation and evolution, and studying the emergence of roles and interaction patterns in social media  ...  The series includes contributions exploring the intersection between data-driven studies of complex networks and agent-based models of collective social behavior.  ...  contributions All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.  ... 
doi:10.1140/epjds/s13688-014-0037-6 fatcat:ksmjbdi3q5czdcjs4rathvh6fy

Computational Models for Social Network Analysis

Jie Tang
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
Mining big social networks aims to collect and analyze web-scale social data to reveal patterns of individual and group behaviors.  ...  In this article, I briefly survey recent progress on social network mining with an emphasis on understanding the interactions among users in the large dynamic social networks.  ...  In the rest of this article, we review related literature on social theories, user behavior modeling, social tie analysis, and network analysis.  ... 
doi:10.1145/3041021.3051101 dblp:conf/www/Tang17 fatcat:a6oo7liwfrfuzemkalqldmbvki

Affective neural networks and cognitive learning systems for big data analysis

Amir Hussain, Erik Cambria, Björn Schuller, Newton Howard
2014 Neural Networks  
Acknowledgments The guest editors are most grateful to the co-editors-in-chief, Kenji Doya and DeLiang Wang, for giving us the opportunity to guest edit this exciting issue.  ...  Finally, the guest editors are indebted to the following thirty-four reviewers for their timely and insightful reviews of the submissions which has assured the quality of this  ...  Both tags and latent interactions among users are incorporated in the method. In the experiments, the social dynamic behaviors of users are first analyzed.  ... 
doi:10.1016/j.neunet.2014.07.010 pmid:25131153 fatcat:iwo37uspufhw7he7m6iycy36mq

Privacy in Online Social Networks [chapter]

Elie Raad, Richard Chbeir
2013 Lecture Notes in Social Networks  
Unconstrained by physical spaces, online social networks offer to web users new interesting means to communicate, interact, and socialize.  ...  In this context, we address privacy-related issues by resorting to social network analysis and link mining techniques.  ...  We also focus on the importance of social network data and explain how network analysis and data mining techniques [14] [15] , useful in understanding users' behaviors and networks' characteristics  ... 
doi:10.1007/978-3-7091-0894-9_1 dblp:series/lnsn/RaadC13 fatcat:pxzg2pz5onfppljbhfzs6cg76e
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