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A data-driven analysis to question epidemic models for citation cascades on the blogosphere
[article]
2013
arXiv
pre-print
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Citation cascades in blog networks are often considered as traces of information spreading on this social medium. ...
and their restricted social network, accounts for several important statistical features of the data.These arguments support the idea that citations primary goal may not be information spreading on the ...
The data has been collected as part of the French National Agency of Research Webfluence project #ANR-08-SYSC-009. ...
arXiv:1306.0424v1
fatcat:2fnagfin3napnomnx5h7qcfwy4
Affinity Paths and information diffusion in social networks
2011
Social Networks
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2011 pre-print arXiv:1105.3316v1 fatcat:ntulflj6lbdkrjkeouf3ctul4u
Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. ...
We prove the plausibility of such mechanism through a stylized, agent-based model that replicates the Affinity Paths observed in real information diffusion cascades. ...
Watts and Dodds (2007) built a model proving that information propagation can happen independently of the underlying social network structure and concluded that "large cascades of influence are driven ...
doi:10.1016/j.socnet.2010.11.003
fatcat:eq7g2nsly5fz5n5zvlzhqmipea
Data-Driven Modeling and Analysis of Online Social Networks
[chapter]
2011
Lecture Notes in Computer Science
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In light of these notable outcomes, understanding information diffusion over online social networks is a critical research goal. ...
We present an integrated approach to information diffusion in online social networks focusing on three key problems: (1) Querying and analysis of online social network datasets; (2) Modeling and analysis ...
We describe and refine models of information diffusion for online social networks based on analysis of real-world data sets. ...
doi:10.1007/978-3-642-23535-1_3
fatcat:6mnsopovcjdn3i3dqaqzh7twg4
Cascading Behaviour in Complex Socio-Technical Networks
2013
Social Science Research Network
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it is also providing more and better data with which to build more informative models on the effects of social interactions, amongst them, the way in which contagion and cascades diffuse in social networks ...
new vistas in our understanding of cascading behaviour in social networks. validity. ...
cascades, Liben-Nowell and Kleinberg restrict their analysis to the chain letter of a widely circulated petition known to have spread widely. ...
doi:10.2139/ssrn.2237963
fatcat:at4kvsopq5e23jc3oyh5vw76ri
The structure of online diffusion networks
2012
Proceedings of the 13th ACM Conference on Electronic Commerce - EC '12
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However, it is unknown how accurately these models account for the empirical structure of diffusion over networks. ...
Models of networked diffusion that are motivated by analogy with the spread of infectious disease have been applied to a wide range of social and economic adoption processes, including those related to ...
Voice data; and to Sergei Matusevych and Ayman Shamma for the Zync data. ...
doi:10.1145/2229012.2229058
dblp:conf/sigecom/GoelWG12
fatcat:oqmry635tzaink2ee3ijadjj6u
Cascading behaviour in complex socio-technical networks
2013
Journal of Complex Networks
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it is also providing more and better data with which to build more informative models on the effects of social interactions, amongst them, the way in which contagion and cascades diffuse in social networks ...
new vistas in our understanding of cascading behaviour in social networks. ...
cascades, Liben-Nowell and Kleinberg restrict their analysis to the chain letter of a widely circulated petition known to have spread widely. ...
doi:10.1093/comnet/cnt006
fatcat:t5kv6kymzfhc5oaf5b4a76znke
Locating privileged spreaders on an online social network
2012
Physical Review E
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With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. ...
Social media have provided plentiful evidence of their capacity for information diffusion. ...
FIS2011-25167, and by Comunidad de Aragón (Spain) through a grant to the group FENOL. ...
doi:10.1103/physreve.85.066123
pmid:23005178
fatcat:jbtlxnlq5rg7li4yi3js5dt3b4
Threshold driven contagion on weighted networks
2018
Scientific Reports
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We also observe this effect under more realistic synthetic scenarios, such as scale-free networks and lognormal weight distributions, as well as in data-driven simulations over large-scale empirical weighted ...
Weighted networks are ubiquitous in biological 1 , ecological 2 , infrastructure 3-5 , social 6-9 , information, and economic 10,11 systems, just to mention a few. ...
Kertész, to A.-L. Barabási for the mobile phone call dataset and to M. Szell for the Pardus dataset. ...
doi:10.1038/s41598-018-21261-9
pmid:29449569
pmcid:PMC5814462
fatcat:653hm6hyhjghflsvhtpfioh22m
Social network analysis of electric vehicles adoption: a data-based approach
[article]
2020
arXiv
pre-print
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opinion diffusion over time on the network. ...
This work aims at contributing to the study of this adoption process through a data-based lens, using real mobility patterns to setup a social-network analysis to model the spread of consensus among neighbouring ...
DATA-DRIVEN NETWORK ANALYSIS In this section we consider a few scenarios of interest to evaluate the sensitivity of the EV diffusion model described in (1) to different parameters. ...
arXiv:2001.09704v1
fatcat:rxrucrvbnvestcscuhindl3pwm
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
[article]
2020
arXiv
pre-print
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We propose a novel data-driven holistic deep learning framework, namely DeepCP, for joint diffusion-aware cascade prediction and autonomous content placement without utilizing users' personal and social ...
Online social networks (OSNs) are emerging as the most popular mainstream platform for content cascade diffusion. ...
We propose a novel data-driven holistic deep learning framework, namely DeepCP, for joint diffusion-aware cascade prediction and autonomous content placement without utilizing users' personal and social ...
arXiv:2003.03971v1
fatcat:xnldollrkfblna3bk5n4lqgwgy
Online Social Network Analysis: A Survey of Research Applications in Computer Science
[article]
2016
arXiv
pre-print
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The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behavior. ...
Although most online social networks are recent (less than fifteen years old), a vast amount of scientific papers was already published on this topic, dealing with a broad range of analytical methods and ...
Part of the results presented in this work were obtained through the project "Training in Information Technology", funded by Samsung Eletronics of Amazonia LTDA., using resources from Law of Informatics ...
arXiv:1504.05655v2
fatcat:cgtic45w2bdqpdg36u6hjwzdcy
A dissemination model based on psychological theories in complex social networks
2021
IEEE Transactions on Cognitive and Developmental Systems
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Information spread on social media has been extensively studied through both model-driven theoretical research and data-driven case studies. ...
These results demonstrate that the RLT model is able to capture the patterns of information dissemination on social media and thus provide model-driven insights into the interpretation of public opinion ...
The dissemination process for information in a network is restricted by many factors and highly complex. ...
doi:10.1109/tcds.2021.3052824
fatcat:arj7gnosbraxlbqp4rpoj3pjey
The Spanish "Indignados" Movement: Time Dynamics, Geographical Distribution, and Recruitment Mechanisms
[chapter]
2014
Lecture Notes in Social Networks
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The online trace of the 15M protests provides a unique opportunity to tackle central issues in the social network literature, like recruitment patterns or information cascades. ...
Online social networks have an enormous impact on opinions and cultural trends. Also, these platforms have revealed as a fundamental organizing mechanism in country--wide social movements. ...
The Network Position of Information Spreaders Information diffusion tells us not how the system attains a critical mass, but how it maintains its activity. ...
doi:10.1007/978-3-7091-1340-0_9
fatcat:amgbjeyjkzghbnmgm4v2cdi5um
The Dynamics of Protest Recruitment through an Online Network
2011
Scientific Reports
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We identify the network position of early participants (i.e. the leaders of the recruitment process) and of the users who acted as seeds of message cascades (i.e. the spreaders of information). ...
We find that early participants cannot be characterized by a typical topological position but spreaders tend to me more central to the network. ...
Acknowledgements We thank Mason A. Porter for helpful comments and suggestions. S.G.B. is "partially supported by the Spanish MICINN projects CSO2009-09890 and CSD2010-00034. J. ...
doi:10.1038/srep00197
pmid:22355712
pmcid:PMC3240992
fatcat:my3bi5xnk5aybloqstq4ycgzsi
Predicting trending messages and diffusion participants in microblogging network
2014
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14
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One of the most important features of microblog over traditional social networks is the extensive proliferation in information diffusion. ...
As the outbreak of information diffusion often brings in valuable opportunities or devastating effects, it will be beneficial if a mechanism can be provided to predict whether a piece of information will ...
[9] raised the question of cascading outbreak prediction. Based on the historical cascade data, a data driven approach was proposed to select important nodes as sensors. ...
doi:10.1145/2600428.2609616
dblp:conf/sigir/BianYC14
fatcat:cecomaxbufcwrfdc6vxkofctoq
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