social graph, Twitter, 7/15/2020 5:51:13 AM, 230659


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social graph_2020-07-14_21-15-18.xlsx
social graph_2020-07-14_21-15-18.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 15, 2020
Short Description:
social graph via NodeXL https://bit.ly/38Z4pMP
@neo4j
@tdatascience
@st3llasia
@mquinsland
@alpublichealth
@angloscot2
@aliciaframe1
@nudelhalbweiner
@avichal
@moxie

Top hashtags:
#covid19
#neo4j
#graphdatascience
#connecteddata
#knowledgegraph
#childpoverty

Description:
Description
The graph represents a network of 1,849 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, 15 July 2020 at 04:15 UTC.

The requested start date was Wednesday, 15 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 23-hour, 10-minute period from Wednesday, 01 July 2020 at 00:08 UTC to Tuesday, 14 July 2020 at 23:19 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 : 1849
Unique Edges : 1486
Edges With Duplicates : 1250
Total Edges : 2736
Number of Edge Types : 5
Tweet : 288
Replies to : 332
Mentions : 683
Retweet : 524
MentionsInRetweet : 909
Self-Loops : 296
Reciprocated Vertex Pair Ratio : 0.0168539325842697
Reciprocated Edge Ratio : 0.0331491712707182
Connected Components : 482
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 113
Maximum Edges in a Connected Component : 419
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.641776
Graph Density : 0.000529711860160751
Modularity : 0.677742
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,849 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, 15 July 2020 at 04:15 UTC.

The requested start date was Wednesday, 15 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 23-hour, 10-minute period from Wednesday, 01 July 2020 at 00:08 UTC to Tuesday, 14 July 2020 at 23:19 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:
[13] https://neo4j.com/blog/building-enterprise-knowledge-graph/?ref=social-blog
[11] https://towardsdatascience.com/modeling-healthcare-data-with-graph-databases-3e3695bcae3c?source=social.tw
[11] http://www.covid.gov.pk
[7] https://neo4j.com/whitepapers/anti-money-laundering-framework-solution-guide/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=Asset%20Promo%20(GaggleAMP)&utm_content=solution-guide-how-to-combat-money-laundering-using-graph-techn-2571215
[6] 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://neo4j.com/blog/introducing-drivine-graph-database-client-for-node-js-and-typescript/?ref=social-blog
[5] https://neo4j.com/blog/pokegraph-gotta-graph-em-all/?ref=social-blog
[5] https://signal.org/blog/secure-value-recovery/
[4] https://neo4j.com/blog/introducing-drivine-graph-database-client-for-node-js-and-typescript/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=introducing-drivine-graph-database-client-for-nodejs-and-types-2572458
[4] https://neo4j.com/blog/upgrade-your-graph-data-science-library-now/?ref=social-blog

Top URLs in Tweet in G1:
[6] 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
[3] http://cs.SI
[2] https://medium.com/front-end-weekly/javascript-graph-visualization-libraries-updated-check-out-anychart-8-7-0-with-new-cool-features-cc9b744c6bc5?source=rss----c539d790d38a---4&utm_campaign=javascript-graph-visualization-libraries-updated-check-out-anychart-870-with-new-cool-features&utm_medium=social_link&utm_source=missinglettr
[2] http://arxiv.org/abs/2007.03316
[2] https://arxiv.org/abs/2007.03983
[2] https://neo4j.com/blog/introducing-drivine-graph-database-client-for-node-js-and-typescript/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=introducing-drivine-graph-database-client-for-nodejs-and-types-2572458
[2] https://neo4j.com/blog/graphs-everywhere-5-minute-interview-jean-villedieu-linkurious/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=graphs-everywhere-5-minute-interview-with-jean-villedieu-co-fo-2561091
[2] https://neo4j.com/whitepapers/anti-money-laundering-framework-solution-guide/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=Asset%20Promo%20(GaggleAMP)&utm_content=solution-guide-how-to-combat-money-laundering-using-graph-techn-2571215
[1] https://neo4j.com/blog/improving-patient-outcomes-algorithms-graphconnect/?ref=social-blog
[1] https://neo4j.com/blog/pokegraph-gotta-graph-em-all/?ref=social-blog

Top URLs in Tweet in G2:
[13] https://neo4j.com/blog/building-enterprise-knowledge-graph/?ref=social-blog
[6] https://neo4j.com/blog/introducing-drivine-graph-database-client-for-node-js-and-typescript/?ref=social-blog
[5] https://neo4j.com/whitepapers/anti-money-laundering-framework-solution-guide/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=Asset%20Promo%20(GaggleAMP)&utm_content=solution-guide-how-to-combat-money-laundering-using-graph-techn-2571215
[4] https://neo4j.com/blog/pokegraph-gotta-graph-em-all/?ref=social-blog
[4] https://neo4j.com/blog/graph-data-science-5-minute-interview-alicia-frame/?ref=social-blog
[4] https://neo4j.com/blog/upgrade-your-graph-data-science-library-now/?ref=social-blog
[3] https://neo4j.com/graph-powered-machine-learning-manning-book/?ref=social-camp
[3] https://neo4j.com/case-studies/boston-scientific/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=Asset%20Promo%20(GaggleAMP)&utm_content=neo4j-boston-scientific-case-study-httpgaggln96odr-2562606
[3] https://neo4j.com/blog/graphcast-what-is-graph-database-in-10-minutes/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=Blog%20(GaggleAMP)&utm_content=graphcast-what-is-a-graph-database-in-10-minutes-httpgaggl-2569332
[2] https://go.neo4j.com/WBR200716Elsevier_Registration.html?ref=social-camp

Top URLs in Tweet in G3:
[11] http://www.covid.gov.pk
[1] https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7

Top URLs in Tweet in G5:
[1] https://twitter.com/HarryStebbings/status/1279896170127654914?s=20

Top URLs in Tweet in G7:
[5] https://signal.org/blog/secure-value-recovery/

Top URLs in Tweet in G8:
[10] https://towardsdatascience.com/modeling-healthcare-data-with-graph-databases-3e3695bcae3c?source=social.tw
[3] https://towardsdatascience.com/benchmarking-graph-neural-networks-d644e0bf54d5?source=social.tw
[2] https://towardsdatascience.com/understanding-the-building-blocks-of-graph-neural-networks-intro-56627f0719d5?source=social.tw
[2] https://towardsdatascience.com/expressive-power-of-graph-neural-networks-and-the-weisefeiler-lehman-test-b883db3c7c49?source=social.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fbeyond-weisfeiler-lehman-using-substructures-for-provably-expressive-graph-neural-networks-d476ad665fa3%3Fsource%3Dsocial.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fgraph-databases-whats-the-big-deal-ec310b1bc0ed%3Fsource%3Dsocial.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fbenchmarking-graph-neural-networks-d644e0bf54d5%3Fsource%3Dsocial.tw
[1] https://blog.twitter.com/en_us/topics/company/2019/Twitter-acquires-Fabula-AI.html
[1] https://towardsdatascience.com/beyond-weisfeiler-lehman-using-substructures-for-provably-expressive-graph-neural-networks-d476ad665fa3?source=social.tw
[1] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fpythons-one-liner-graph-creation-library-with-animations-hans-rosling-style-f2cb50490396%3Fsource%3Dsocial.tw

Top URLs in Tweet in G9:
[1] https://twitter.com/StevenTDennis/status/1282442536305426432
[1] https://cdn.cnn.com/cnnnext/dam/assets/200622125748-us-eu-coronavirus-comparison-graph-large-169.jpg

Top URLs in Tweet in G10:
[1] https://twitter.com/resi_analyst/status/1281147557520048128

Top Domains
Top Domains in Tweet in Entire Graph:
[94] neo4j.com
[57] twitter.com
[20] towardsdatascience.com
[19] medium.com
[11] gov.pk
[9] arxiv.org
[6] postcardmania.com
[6] kpop-radar.com
[5] co.uk
[5] google.com

Top Domains in Tweet in G1:
[25] twitter.com
[9] neo4j.com
[8] arxiv.org
[6] postcardmania.com
[4] medium.com
[3] cs.si
[1] teenagerstartups.com
[1] mckinsey.com
[1] ieee.org
[1] dev4press.com

Top Domains in Tweet in G2:
[82] neo4j.com
[1] towardsdatascience.com
[1] medium.com
[1] twitter.com

Top Domains in Tweet in G3:
[11] gov.pk
[1] arcgis.com

Top Domains in Tweet in G5:
[1] twitter.com

Top Domains in Tweet in G7:
[5] signal.org

Top Domains in Tweet in G8:
[18] towardsdatascience.com
[10] medium.com
[1] twitter.com

Top Domains in Tweet in G9:
[1] twitter.com
[1] cnn.com

Top Domains in Tweet in G10:
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[103] covid19
[60] neo4j
[30] graphdatascience
[19] connecteddata
[19] knowledgegraph
[18] childpoverty
[17] typescript
[16] graphdatabase
[16] drivine
[16] exo



Top Hashtags in Tweet in G1:
[3] covid19
[2] neo4j
[2] graphdatabases
[2] javascript
[2] programming
[2] graph
[2] ai
[1] theinternet
[1] graphalgorithms
[1] similarity

Top Hashtags in Tweet in G2:
[57] neo4j
[30] graphdatascience
[19] connecteddata
[19] knowledgegraph
[17] typescript
[16] drivine
[15] python
[14] graphdatabase
[13] datascience
[12] machinelearning

Top Hashtags in Tweet in G3:
[78] covid19
[11] coronavirusupdates
[11] socialdistancing
[11] flattenthecurve
[11] togetherathome

Top Hashtags in Tweet in G8:
[2] artificialintelligence
[1] dataviz
[1] neuralnetworks

Top Hashtags in Tweet in G9:
[1] trumpvirus
[1] worstpresidentever
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[945] graph
[720] social
[222] cases
[222] ø
[159] distancing
[141] data
[138] ù
[109] people
[103] #covid19
[99] media

Top Words in Tweet in G1:
[222] ø
[167] graph
[152] social
[138] ù
[32] media
[19] distancing
[19] ùšø
[15] people
[14] data
[13] time

Top Words in Tweet in G2:
[120] graph
[90] neo4j
[63] data
[57] #neo4j
[38] using
[36] machine
[36] learning
[30] #graphdatascience
[25] alessandronegro
[25] database

Top Words in Tweet in G3:
[146] cases
[78] #covid19
[67] alabama
[67] highest
[67] number
[67] yesterday
[67] over
[67] 1800
[67] urge
[67] wash

Top Words in Tweet in G4:
[22] stevenm95164330
[22] xbasslichtie
[22] swanage123
[22] baz__17
[22] sammyboy1610
[22] daviec66
[22] audiokid3
[22] countofdown
[22] theeurogirl
[21] angloscot2

Top Words in Tweet in G5:
[39] social
[27] twitter
[21] cancel
[21] culture
[21] creates
[21] mega
[21] opportunity
[21] network
[21] pseudonymous
[21] verified

Top Words in Tweet in G6:
[2] smears

Top Words in Tweet in G7:
[28] social
[27] graph
[16] moxie
[14] svr
[12] signal
[12] non
[12] phone
[10] number
[10] addressing
[10] address

Top Words in Tweet in G8:
[37] graph
[32] tdatascience
[21] neural
[21] networks
[15] expressive
[15] lehman
[13] using
[13] mmbronstein
[13] weisfeiler
[12] databases

Top Words in Tweet in G9:
[11] social
[10] realdonaldtrump
[10] graph
[6] distancing
[5] masks
[4] wear
[4] mask
[3] protests
[3] failed
[3] europe

Top Words in Tweet in G10:
[22] renters
[21] important
[21] graph
[21] today's
[21] english
[21] housing
[21] survey
[21] clearly
[21] shows
[21] private

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[207] social,graph
[159] social,distancing
[90] ø,ø
[85] social,media
[76] ø,ù
[73] ù,ø
[69] wash,hands
[68] #covid19,cases
[67] alabama,highest
[67] highest,number

Top Word Pairs in Tweet in G1:
[90] ø,ø
[76] ø,ù
[73] ù,ø
[40] social,graph
[34] ù,ù
[29] social,media
[19] social,distancing
[12] ø,ùšø
[10] graph,social
[10] ø,ùƒø

Top Word Pairs in Tweet in G2:
[36] machine,learning
[24] graph,database
[19] graph,powered
[18] powered,machine
[18] using,graph
[18] alicia,frame
[18] frame,aliciaframe1
[17] data,organized
[17] organized,form
[17] form,knowledge

Top Word Pairs in Tweet in G3:
[67] alabama,highest
[67] highest,number
[67] number,#covid19
[67] #covid19,cases
[67] cases,yesterday
[67] yesterday,over
[67] over,1800
[67] 1800,cases
[67] cases,urge
[67] urge,wash

Top Word Pairs in Tweet in G4:
[22] stevenm95164330,xbasslichtie
[22] xbasslichtie,swanage123
[22] swanage123,baz__17
[22] baz__17,sammyboy1610
[22] sammyboy1610,daviec66
[22] daviec66,audiokid3
[22] audiokid3,countofdown
[22] countofdown,theeurogirl
[21] angloscot2,stevenm95164330
[20] theeurogirl,andrewe31â

Top Word Pairs in Tweet in G5:
[21] cancel,culture
[21] culture,creates
[21] creates,mega
[21] mega,opportunity
[21] opportunity,social
[21] social,network
[21] network,twitter
[21] twitter,pseudonymous
[21] pseudonymous,verified
[21] verified,profiles

Top Word Pairs in Tweet in G7:
[27] social,graph
[10] non,phone
[10] phone,number
[9] number,based
[9] based,addressing
[9] address,book
[8] enable,non
[7] qrs,signalapp
[6] live,address
[5] maettig,0xdea

Top Word Pairs in Tweet in G8:
[21] graph,neural
[21] neural,networks
[13] weisfeiler,lehman
[12] graph,databases
[12] beyond,weisfeiler
[12] lehman,using
[12] using,substructures
[12] substructures,provably
[12] provably,expressive
[12] expressive,graph

Top Word Pairs in Tweet in G9:
[6] social,distancing
[3] social,distance
[2] wear,mask
[2] mask,social
[2] wear,masks

Top Word Pairs in Tweet in G10:
[21] important,graph
[21] graph,today's
[21] today's,english
[21] english,housing
[21] housing,survey
[21] survey,clearly
[21] clearly,shows
[21] shows,private
[21] private,renters
[21] renters,spending

Top Replied-To
Top Replied-To in Entire Graph:
@moxie
@devopstom
@edefic
@tom_bigt_herman
@cj_cyclist
@steventdennis
@deplorable_me87
@0xdade
@maettig
@cryptogopher

Top Replied-To in G1:

Top Replied-To in G4:
@stevenm95164330

Top Replied-To in G5:
@drnovac
@genxpolitico1
@leaacta
@icarusglider
@orthonormalist
@shaayohn

Top Replied-To in G6:
@taznum8

Top Replied-To in G7:
@moxie
@maettig
@cryptogopher
@qrs
@markus_ottela
@fuzztech
@jiripospisil
@jimkleiber
@chris_paul86
@skry

Top Replied-To in G8:
@ryanjgallag

Top Replied-To in G9:
@realdonaldtrump
@trumpdefender8
@abelltiger
@trumpstudents
@bhwms
@richandblind24
@malinois1
@herlinburch

Top Mentioned
Top Mentioned in Entire Graph:
@neo4j
@alpublichealth
@tdatascience
@alessandronegro
@xbasslichtie
@swanage123
@baz__17
@sammyboy1610
@daviec66
@audiokid3

Top Mentioned in G1:
@julieta39093823
@chavros2
@gnafinancial
@chi_sy_rhu

Top Mentioned in G2:
@neo4j
@alessandronegro
@aliciaframe1
@doctor_cerulean
@manningbooks
@bwmerkl
@liberation_data
@joedepeau

Top Mentioned in G3:
@alpublichealth
@ipacfoundation

Top Mentioned in G4:
@xbasslichtie
@swanage123
@baz__17
@sammyboy1610
@daviec66
@audiokid3
@countofdown
@theeurogirl
@angloscot2
@stevenm95164330

Top Mentioned in G5:
@avichal
@harrystebbings
@vgr
@antoniogm
@balajis
@zeynep
@sonyasupposedly
@urbit
@theageofshoddy

Top Mentioned in G6:
@emirsejdik
@shaun_girk
@darcman
@marvinkey74
@dk_stephan
@gallivanscott
@quadboy9
@smileyt22
@monsoon2112
@aca_sherpa

Top Mentioned in G7:
@signalapp
@moxie
@qrs
@0xdea
@corcra
@maettig
@rswestmoreland
@sziggle
@hdevalence
@taviso

Top Mentioned in G8:
@tdatascience
@mmbronstein
@vijaypradwi
@giuseppe_futia
@faviovaz
@fabula_ai
@frederickmonti
@damonmannion
@ernestoschmitt
@mlwhiz

Top Mentioned in G9:
@realdonaldtrump
@matthewjshow
@vp
@gop
@presssec
@devinscowsdog
@n2g2bt
@mattgaetz
@richardgrenell
@donaldjtrumpjr

Top Mentioned in G10:
@victoria_spratt

Top Tweeters
Top Tweeters in Entire Graph:
@clairebotai
@monty_chadha
@tenji95
@rosenchild
@marty713
@2351onthelist
@randlight
@rvp
@1catherinesiena
@pwm62

Top Tweeters in G1:
@douchebagstrat
@gerryoat_bot
@realadamhorne
@god_loves_women
@klngkuya
@avcvdb
@businesson_line
@tiagoooliveira
@daniellefong
@arxivml

Top Tweeters in G2:
@justbementalist
@thecuriousluke
@hubofml
@jsnewsbot
@fmfrancoise
@ml_tweet_bot
@lucasoft_co_uk
@timpatalpostma
@jadp
@manningbooks

Top Tweeters in G3:
@1catherinesiena
@austinlouis5
@naattuvarthakal
@jaimelondonboy
@publichealthmap
@jhardingal
@bob_grip
@nabilas_here
@gardeegodrich
@jgarrettgilmore

Top Tweeters in G4:
@2351onthelist
@mgt_coull26
@theeurogirl
@sunshineonleith
@keithrsteele
@bellesareblue
@ka83k
@armdpm
@thetradingsheep
@kat_bee_123

Top Tweeters in G5:
@marvinliao
@vgr
@hettinga
@hernandez_a
@thenetworkhub
@xchixm
@zeynep
@genemurphy
@orthonormalist
@nighterrantry

Top Tweeters in G6:
@pwm62
@smileyt22
@pelosisquadfive
@carogonza
@anootchka
@piatfernandez
@cajsa
@reginaa1981
@wonderbitchtoo
@grnmedina_chris

Top Tweeters in G7:
@skry
@rswestmoreland
@svetapinto
@fluffypony
@thefalken
@railmeat
@ryanaraine
@hdevalence
@stephanneuhaus1
@qrs

Top Tweeters in G8:
@rosenchild
@jorgeoc
@brizendinesean
@taizun_tapia
@tdatascience
@tmrhyne
@faviovaz
@ryanjgallag
@tequehead
@rdzeniu

Top Tweeters in G9:
@matthewjshow
@johncardillo
@thedailyedge
@mileslunn
@realdonaldtrump
@ingrahamangle
@gop
@donaldjtrumpjr
@jmiller423
@bhwms

Top Tweeters in G10:
@harryscoffin
@dannyjpalmer
@dumbassmiliband
@jamiesboyle
@emmajolly
@samuel_stafford
@judecambridge
@tomforex
@smoulderstoat
@noblefrancis


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