Analysing Large Mobile Messaging Networks Data Using Apache Spark Graphframes

Simple item page
dc.date.accessioned2020-06-22T10:57:39Z
dc.date.available2020-06-22T10:57:39Z
dc.description.abstractThe lab will use an applied example to help participants conduct a virtual social network analysis with simulated data Our focus will be on showing participants how social network analysis can be implemented at scale and to illustrate how insights on social diffusion and peer influence mechanisms within mobile messaging services can be found Lab participants will work through an applied example using social network analysis to model contagion processes i e spread of fake news triggered by a behaviour change intervention The example will use Apache SPARK a free open source software package and the tech industry standard for Big Data analysis Participants need to pre register in order to receive information on open source software installations on their laptops before attending the workshop Speakers include Eli Grant Head of Research PraekeltNathan Begbie Data Scientist PraekeltCharles Copley Head of Data Science Praekelt
dc.identifier.urihttps://lib.digitalsquare.io/handle/123456789/77122
dc.subjectGlobal Digital Health Forum Presentations
dc.subjectGlobal Digital Health Forum 2018
dc.titleAnalysing Large Mobile Messaging Networks Data Using Apache Spark Graphframesen
dcterms.abstractThe lab will use an applied example to help participants conduct a virtual social network analysis with simulated data Our focus will be on showing participants how social network analysis can be implemented at scale and to illustrate how insights on social diffusion and peer influence mechanisms within mobile messaging services can be found Lab participants will work through an applied example using social network analysis to model contagion processes i e spread of fake news triggered by a behaviour change intervention The example will use Apache SPARK a free open source software package and the tech industry standard for Big Data analysis Participants need to pre register in order to receive information on open source software installations on their laptops before attending the workshop Speakers include Eli Grant Head of Research PraekeltNathan Begbie Data Scientist PraekeltCharles Copley Head of Data Science Praekelt
dcterms.subjectGlobal Digital Health Forum Presentations
dcterms.subjectGlobal Digital Health Forum 2018
dcterms.titleAnalysing Large Mobile Messaging Networks Data Using Apache Spark Graphframesen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
20181210_gdhf_sna_spark_neo4j_workshop_gpe_presentations.pptx
Size:
3.61 MB
Format:
Microsoft Powerpoint XML
Description:
Download
Collections
GDHN Resources