social graph, Twitter, 8/5/2020 4:18:16 AM, 231886


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social graph_2020-08-04_21-04-00.xlsx
social graph_2020-08-04_21-04-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 05, 2020
Short Description:
social graph via NodeXL https://bit.ly/3i9GqxG
@tdatascience
@voiceoffranky
@thisisgulshan
@neo4j
@grjenkin
@joanvinallcox
@datasciencebot_
@hubbucket
@mmbronstein
@rosenchild

Top hashtags:
#machinelearning
#datascience
#bigdata
#ai
#analytics
#iot
#got7
#covid19

Description:
Description
The graph represents a network of 2,085 Twitter users whose tweets in the requested range contained "social graph", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 04:05 UTC.

The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 22-hour, 59-minute period from Wednesday, 22 July 2020 at 00:15 UTC to Tuesday, 04 August 2020 at 23:15 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 2085
Unique Edges : 1698
Edges With Duplicates : 1902
Total Edges : 3600
Number of Edge Types : 5
Retweet : 871
MentionsInRetweet : 1545
Replies to : 289
Mentions : 624
Tweet : 271
Self-Loops : 287
Reciprocated Vertex Pair Ratio : 0.00849617672047579
Reciprocated Edge Ratio : 0.016849199663016
Connected Components : 449
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 204
Maximum Edges in a Connected Component : 744
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.202019
Graph Density : 0.000546357539688019
Modularity : 0.652164
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,085 Twitter users whose tweets in the requested range contained "social graph", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 August 2020 at 04:05 UTC.

The requested start date was Wednesday, 05 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 13-day, 22-hour, 59-minute period from Wednesday, 22 July 2020 at 00:15 UTC to Tuesday, 04 August 2020 at 23:15 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : social graph
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[38] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fdo-we-need-deep-graph-neural-networks-be62d3ec5c59%3Fsource%3Dsocial.tw
[23] https://medium.com/stellargraph/can-graph-machine-learning-identify-hate-speech-in-online-social-networks-58e3b80c9f7e
[21] https://towardsdatascience.com/temporal-graph-networks-ab8f327f2efe?source=social.tw
[14] https://towardsdatascience.com/introduction-to-graph-neural-networks-with-deepwalk-f5ac25900772?source=social.tw
[9] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Ftemporal-graph-networks-ab8f327f2efe%3Fsource%3Dsocial.tw
[9] https://wpknol.com/optimize-social-sharing-with-open-graph-meta-tags-wordpress/
[7] https://go.neo4j.com/neo4j-graph-powered-machine-learning-an-interview-with-dr.-alessandro-negro-lp.html?ref=social-camp
[7] http://www.covid.gov.pk
[7] https://www.postcardmania.com/blog/how-we-rebounded-our-leads-and-sales-from-covid-19/?ctcampaign=333&campaign=social+media+post&adgroup=organic+social&ad_description=organic+social+post
[6] https://www.yahoo.com/huffpost/laura-ingraham-graph-texas-cases-twitter-142243474.html?soc_src=social-sh&soc_trk=tw

Top URLs in Tweet in G2:
[9] https://wpknol.com/optimize-social-sharing-with-open-graph-meta-tags-wordpress/
[7] https://www.postcardmania.com/blog/how-we-rebounded-our-leads-and-sales-from-covid-19/?ctcampaign=333&campaign=social+media+post&adgroup=organic+social&ad_description=organic+social+post
[7] http://www.covid.gov.pk
[4] http://socialwall.com.au/instagram-social-wall-instagram-graph-api/
[3] https://www.unrealengine.com/en-US/blog/epic-online-services-featuring-epic-account-and-game-services
[3] https://medium.com/stellargraph/can-graph-machine-learning-identify-hate-speech-in-online-social-networks-58e3b80c9f7e
[2] https://twinybots.ch/
[2] https://www.highcharts.com/docs/chart-and-series-types/networkgraph
[2] https://twitter.com/jyangstar/status/1289940943462895616
[2] https://twitter.com/eugenewei/status/1290629787073908736

Top URLs in Tweet in G3:
[35] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fdo-we-need-deep-graph-neural-networks-be62d3ec5c59%3Fsource%3Dsocial.tw
[21] https://towardsdatascience.com/temporal-graph-networks-ab8f327f2efe?source=social.tw
[14] https://towardsdatascience.com/introduction-to-graph-neural-networks-with-deepwalk-f5ac25900772?source=social.tw
[9] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Ftemporal-graph-networks-ab8f327f2efe%3Fsource%3Dsocial.tw
[3] https://blogs.sap.com/2020/07/10/sap-hana-graph-options-part-2/?source=social-global-sapdevs-twitter-audienceengagement-developers-saphana-spr-3496207802&campaigncode=CRM-XB20-MKT-DGEALL
[2] https://towardsdatascience.com/graph-data-structure-cheat-sheet-for-coding-interviews-a38aadf8aa87?source=social.tw
[2] https://towardsdatascience.com/weve-released-a-covid-19-knowledge-graph-96a15d112fac?source=social.tw
[2] https://towardsdatascience.com/designing-a-3d-healthcare-network-graph-291e4f75e9a5?source=social.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fweve-released-a-covid-19-knowledge-graph-96a15d112fac%3Fsource%3Dsocial.tw
[1] https://www.experfy.com/blog/temporal-graph-networks/

Top URLs in Tweet in G4:
[19] https://medium.com/stellargraph/can-graph-machine-learning-identify-hate-speech-in-online-social-networks-58e3b80c9f7e
[7] https://go.neo4j.com/neo4j-graph-powered-machine-learning-an-interview-with-dr.-alessandro-negro-lp.html?ref=social-camp
[5] https://neo4j.com/blog/graphcast-how-to-solve-a-crime-with-graph-theory/?ref=social-blog
[5] https://dzone.com/articles/how-nebula-graph-stores-a-one-trillion-connections
[3] https://neo4j.com/case-studies/cisco/?ref=social-camp
[3] https://neo4j.com/blog/graphcast-numb3rs-graph-theory/?ref=social-blog
[3] https://neo4j.com/blog/graphcast-how-to-solve-a-crime-with-graph-theory/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=httpgagglrrlgvi-2616531
[3] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fdo-we-need-deep-graph-neural-networks-be62d3ec5c59%3Fsource%3Dsocial.tw
[2] https://neo4j.com/blog/upgrade-your-graph-data-science-library-now/?ref=social-blog
[2] https://neo4j.com/graph-powered-machine-learning-manning-book/?ref=social-camp

Top URLs in Tweet in G5:
[1] https://twitter.com/DrAwab/status/1286992874505150465

Top URLs in Tweet in G7:
[1] https://twitter.com/VoiceOfFranky/status/1289353417526149120

Top URLs in Tweet in G9:
[1] https://www.ox.ac.uk/news/2020-07-08-oxford-covid-19-study-face-masks-and-coverings-work-act-now

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[83] machinelearning
[56] datascience
[38] bigdata
[35] ai
[32] analytics
[32] iot
[24] got7
[22] covid19
[19] graphcast
[18] neo4j



Top Hashtags in Tweet in G2:
[12] instagram
[11] covid19
[9] socialdistancing
[9] wordpress
[9] website
[9] blog
[9] blogger
[9] blogging
[8] socialmedia
[8] coronavirusupdates

Top Hashtags in Tweet in G3:
[4] machinelearning
[2] datascience
[2] covid19
[2] bioinformatics
[1] temporalgraphnetwork
[1] deeplearning
[1] geometricdeeplearning
[1] graphneuralnetworks
[1] algorithms
[1] models

Top Hashtags in Tweet in G4:
[70] machinelearning
[53] datascience
[36] bigdata
[34] ai
[32] analytics
[32] iot
[19] graphcast
[18] neo4j
[18] graphtheory
[18] iiot

Top Words
Top Words in Tweet in Entire Graph:
[1122] graph
[1080] social
[174] networks
[165] more
[144] distancing
[142] cases
[141] health
[123] shows
[115] people
[108] start

Top Words in Tweet in G1:
[107] jyangstar
[107] social
[106] torontostar
[105] ashtuite
[105] topublichealth
[105] more
[105] start
[105] illustration
[105] determinants
[105] health

Top Words in Tweet in G2:
[157] graph
[139] social
[21] covid
[20] media
[20] 19
[18] distancing
[18] 10
[17] gt
[15] network
[15] use

Top Words in Tweet in G3:
[104] graph
[89] networks
[84] tdatascience
[67] mmbronstein
[52] neural
[38] deep
[35] need
[32] temporal
[28] blog
[28] try

Top Words in Tweet in G4:
[114] graph
[70] #machinelearning
[57] social
[53] #datascience
[53] networks
[51] identify
[51] speech
[50] online
[49] hate
[44] neo4j

Top Words in Tweet in G5:
[62] graph
[62] very
[62] interesting
[62] shows
[62] cases
[62] million
[62] friday
[62] take
[62] care
[62] eid

Top Words in Tweet in G6:
[4] stevenm95164330
[4] xbasslichtie
[4] swanage123
[4] baz__17
[4] sammyboy1610
[4] daviec66
[4] audiokid3
[4] countofdown
[4] theeurogirl
[3] angloscot2

Top Words in Tweet in G7:
[56] study
[55] keep
[55] coming
[55] back
[55] social
[55] scientist
[55] values
[55] attitudes
[55] beliefs
[55] ultimately

Top Words in Tweet in G8:
[3] sent
[2] deaths

Top Words in Tweet in G9:
[72] hit
[53] boriquagato
[35] things
[33] overstated
[33] assumes
[33] disease
[33] novel
[33] pre
[33] existing
[33] immunity

Top Words in Tweet in G10:
[37] single
[37] time
[37] see
[37] people
[37] europe
[37] being
[37] careful
[37] social
[37] distancing
[37] still

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[231] social,graph
[143] social,distancing
[106] social,determinants
[106] determinants,health
[105] jyangstar,ashtuite
[105] ashtuite,torontostar
[105] torontostar,topublichealth
[105] topublichealth,more
[105] more,start
[105] start,illustration

Top Word Pairs in Tweet in G1:
[105] jyangstar,ashtuite
[105] ashtuite,torontostar
[105] torontostar,topublichealth
[105] topublichealth,more
[105] more,start
[105] start,illustration
[105] illustration,social
[105] social,determinants
[105] determinants,health
[104] dfisman,jyangstar

Top Word Pairs in Tweet in G2:
[37] social,graph
[19] social,media
[19] covid,19
[18] social,distancing
[15] open,graph
[10] social,sharing
[9] optimize,social
[9] sharing,open
[9] graph,meta
[9] meta,tags

Top Word Pairs in Tweet in G3:
[52] graph,neural
[52] neural,networks
[37] networks,mmbronstein
[35] need,deep
[35] deep,graph
[32] temporal,graph
[32] graph,networks
[28] networks,blog
[28] blog,tdatascience
[28] tdatascience,try

Top Word Pairs in Tweet in G4:
[49] identify,hate
[49] hate,speech
[49] speech,online
[49] online,social
[49] social,networks
[32] #machinelearning,identify
[32] #datascience,#ai
[31] networks,#bigdata
[31] #bigdata,#analytics
[31] #analytics,#datascience

Top Word Pairs in Tweet in G5:
[62] graph,very
[62] very,interesting
[62] interesting,shows
[62] shows,cases
[62] cases,million
[62] million,friday
[62] friday,take
[62] take,care
[62] care,eid
[62] eid,ul

Top Word Pairs in Tweet in G6:
[4] stevenm95164330,xbasslichtie
[4] xbasslichtie,swanage123
[4] swanage123,baz__17
[4] baz__17,sammyboy1610
[4] sammyboy1610,daviec66
[4] daviec66,audiokid3
[4] audiokid3,countofdown
[4] countofdown,theeurogirl
[3] angloscot2,stevenm95164330
[3] theeurogirl,andrewe31

Top Word Pairs in Tweet in G7:
[55] keep,coming
[55] coming,back
[55] back,social
[55] social,scientist
[55] scientist,study
[55] study,values
[55] values,attitudes
[55] attitudes,beliefs
[55] beliefs,ultimately
[54] voiceoffranky,keep

Top Word Pairs in Tweet in G9:
[33] hit,overstated
[33] overstated,assumes
[33] assumes,things
[33] things,disease
[33] disease,novel
[33] novel,pre
[33] pre,existing
[33] existing,immunity
[32] boriquagato,hit
[19] right,idea

Top Word Pairs in Tweet in G10:
[37] single,time
[37] time,see
[37] see,people
[37] people,europe
[37] europe,being
[37] being,careful
[37] careful,social
[37] social,distancing
[37] distancing,still
[37] still,using

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@jyangstar
@ashtuite
@torontostar
@topublichealth
@dfisman
@tdatascience
@mmbronstein
@arifalvi
@voiceoffranky
@boriquagato

Top Mentioned in G1:
@jyangstar
@ashtuite
@torontostar
@topublichealth
@dfisman
@epdevilla
@joe_cressy
@voiceoffranky

Top Mentioned in G2:
@adrianoespartan
@klngkuya

Top Mentioned in G3:
@tdatascience
@mmbronstein
@emaros96
@nhudinhtuan
@sapdevs
@karsergios
@hubbucket
@luizhenrique_sf
@patri_vaquero_
@st3llasia

Top Mentioned in G4:
@neo4j
@thisisgulshan
@jessbaum22
@machinelearnflx
@dayus4heaven
@alessandronegro
@numb3rs_cbs
@bwmerkl
@gp_pulipaka
@barrasadv

Top Mentioned in G5:
@arifalvi

Top Mentioned in G6:
@xbasslichtie
@swanage123
@baz__17
@sammyboy1610
@daviec66
@audiokid3
@countofdown
@theeurogirl
@angloscot2
@stevenm95164330

Top Mentioned in G7:
@voiceoffranky

Top Mentioned in G8:
@martin000023
@rossgilroy
@debbiepalm44
@praisehisname50
@cern_lxxl
@wolfpak561
@verniejim
@yourmomspants1
@thegodd69623245
@jayconcerto

Top Mentioned in G9:
@boriquagato
@ian56789
@getmadnetwork
@wrenasaurus

Top Mentioned in G10:
@baekdal

Top Tweeters
Top Tweeters in Entire Graph:
@chidambara09
@deejayiwan
@rosenchild
@2351onthelist
@reagancbrown
@reuters
@xaelbot
@60sreno
@libsuperstar
@albertarabbit

Top Tweeters in G1:
@suepeac
@torontostar
@june4th
@djdynamicnc
@nealjennings
@joanvinallcox
@uniquelygillian
@giantponygp
@gforbes
@mlgg2

Top Tweeters in G2:
@douchebagstrat
@erstkate
@67capt_canuck
@faarwell
@gerryoat_bot
@philcampbell
@klngkuya
@janiehsieh
@shanley
@generativist

Top Tweeters in G3:
@rosenchild
@nicochan33
@drumeshprabhu
@2601manish
@markmichdomnic
@ceobillionaire
@adamsfantasy
@montreal_ai
@grjenkin
@fabriziobustama

Top Tweeters in G4:
@chidambara09
@deejayiwan
@xaelbot
@machinelearnflx
@openmarketingtv
@ricardo_ik_ahau
@redianbot
@thecuriousluke
@hubofml
@nlognbot

Top Tweeters in G5:
@salman0800
@karachikings19s
@srasheedsalman
@smkaleemp
@g8maq
@dur_nayaab
@ssgpa1
@mudassarklodhi
@fayyaz_fayaz
@mujtabasharf

Top Tweeters in G6:
@2351onthelist
@theeurogirl
@sunshineonleith
@captblueballs
@keithrsteele
@bellesareblue
@kat_bee_123
@tedditchburnnnp
@kennyfarq
@proud2bscotbrit

Top Tweeters in G7:
@albertarabbit
@paladine
@uncleree1
@gadflyquebec
@hopealdridge
@gmarie55
@sunnydays180
@pennyvane10
@edwebb
@torontoddg

Top Tweeters in G8:
@zapher134
@rmbctious
@awayfromthekeys
@zypisfy
@debbiepalm44
@greekvikingx
@janetb172
@cern_lxxl
@tklforgiven
@praisehisname50

Top Tweeters in G9:
@garthgodsman
@francvs
@rwaynefischer1
@ian56789
@rabiddogg
@minizorg
@jslate__
@oystergirl3
@raukar7
@cky30091704

Top Tweeters in G10:
@fernandezpm
@tveskov
@baekdal
@gerellen
@thuotila
@marcusmunch
@alexey_r
@katjapresnal
@m4mysoul
@thomaslund71


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