NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

social graph_2020-09-22_21-01-00.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
September 23, 2020
Short Description:
social graph via NodeXL https://bit.ly/3mKDDhO
@fox_claire
@salhaj
@tdatascience
@neo4j
@davidsirota
@jacobinmag
@jasmin_virdi
@allisonpearson
@lflopezcalva
@hubofml

Top hashtags:
#neo4j
#machinelearning
#graphdatabase
#100daysofcode
#connecteddata
#protecciónsocial

Description:
Description
The graph represents a network of 2,118 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, 23 September 2020 at 04:02 UTC.

The requested start date was Wednesday, 23 September 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, 13-hour, 57-minute period from Wednesday, 09 September 2020 at 01:50 UTC to Tuesday, 22 September 2020 at 15:47 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 : 2118
Unique Edges : 1309
Edges With Duplicates : 2010
Total Edges : 3319
Number of Edge Types : 5
Retweet : 894
MentionsInRetweet : 1162
Tweet : 303
Mentions : 690
Replies to : 270
Self-Loops : 316
Reciprocated Vertex Pair Ratio : 0.0191339375629406
Reciprocated Edge Ratio : 0.0375494071146245
Connected Components : 439
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 289
Maximum Edges in a Connected Component : 797
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.011199
Graph Density : 0.000451402223914237
Modularity : 0.612282
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,118 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, 23 September 2020 at 04:02 UTC.

The requested start date was Wednesday, 23 September 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, 13-hour, 57-minute period from Wednesday, 09 September 2020 at 01:50 UTC to Tuesday, 22 September 2020 at 15:47 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:
[24] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Flatent-graph-learning-a-new-perspective-on-old-problems-c372926a1e4b%3Fsource%3Dsocial.tw
[20] https://towardsdatascience.com/manifold-learning-2-99a25eeb677d?source=social.tw
[13] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[11] https://www.latinamerica.undp.org/content/rblac/es/home/presscenter/director-s-graph-for-thought/inclusion-requires-capacity---the-role-of-social-registries-in-e.html
[9] https://neo4j.com/blog/introducing-graph-databases-for-dummies/?ref=social-blog
[9] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmachine-learning-tasks-on-graphs-7bc8f175119a%3Fsource%3Dsocial.tw
[8] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmanifold-learning-2-99a25eeb677d%3Fsource%3Dsocial.tw
[6] https://www.unomaha.edu/college-of-communication-fine-arts-and-media/communication/community-engagement/social-media-lab.php
[6] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=235617
[6] https://neo4j.com/blog/combating-money-laundering-graph-data-visualizations/?ref=social-blog

Top URLs in Tweet in G1:
[1] https://twitter.com/MrHarryCole/status/1307983396870795264

Top URLs in Tweet in G2:
[5] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[3] https://www.newstatesman.com/science-tech/social-media/2020/08/better-goodreads-possible-bad-for-books-storygraph-amazon
[3] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=graph-databases-for-dummies-neo4j-graph-database-platform-http-2670009
[3] https://neo4j.com/blog/combating-money-laundering-aml-graph-algorithms/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=combating-money-laundering-aml-graph-algorithms-neo4j-graph-d-2666950
[3] 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
[2] https://www.latinamerica.undp.org/content/rblac/es/home/presscenter/director-s-graph-for-thought/inclusion-requires-capacity---the-role-of-social-registries-in-e.html
[2] https://wpknol.com/open-graph-meta-tags-in-wordpress/
[2] https://www.unrealengine.com/en-US/blog/epic-online-services-featuring-epic-account-and-game-services
[2] https://www.eugenewei.com/blog/2020/8/3/tiktok-and-the-sorting-hat
[1] https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html#.X1huO93YziE.twitter

Top URLs in Tweet in G3:
[9] https://neo4j.com/blog/introducing-graph-databases-for-dummies/?ref=social-blog
[8] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[5] https://neo4j.com/blog/combating-money-laundering-graph-data-visualizations/?ref=social-blog
[4] https://neo4j.com/nodes-2020/?ref=social-&utm_source=promos&utm_medium=social
[3] https://neo4j.com/whitepapers/graph-database-security-visual-overview/?ref=social-camp
[3] https://neo4j.com/blog/introducing-graph-databases-for-dummies/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=introducing-graph-databases-for-dummies-httpgaggl7kdpob-2680015
[3] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmachine-learning-tasks-on-graphs-7bc8f175119a%3Fsource%3Dsocial.tw
[2] https://neo4j.com/blog/combating-money-laundering-aml-graph-algorithms/?ref=social-blog
[2] https://neo4j.com/blog/combating-money-laundering-aml-graph-algorithms/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=combating-money-laundering-aml-graph-algorithms-neo4j-graph-d-2666950
[2] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=graph-databases-for-dummies-neo4j-graph-database-platform-http-2670009

Top URLs in Tweet in G4:
[24] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Flatent-graph-learning-a-new-perspective-on-old-problems-c372926a1e4b%3Fsource%3Dsocial.tw
[20] https://towardsdatascience.com/manifold-learning-2-99a25eeb677d?source=social.tw
[8] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmanifold-learning-2-99a25eeb677d%3Fsource%3Dsocial.tw
[6] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmachine-learning-tasks-on-graphs-7bc8f175119a%3Fsource%3Dsocial.tw
[4] https://towardsdatascience.com/how-to-draw-a-bar-graph-for-your-scientific-paper-with-python-a6c2a5e6bcd7?source=social.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fwhat-is-a-graph-database-249cd7fdf24d%3Fsource%3Dsocial.tw
[1] https://hashnode.com/identity?next=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuZXh0VXJsIjoiaHR0cHM6Ly9qYXNtaW4uaGFzaG5vZGUuZGV2L2NyZWF0ZS1vcGVuLWdyYXBoLWltYWdlcy1mcm9tLWdpdGh1Yi1hY3Rpb25zIiwiaWF0IjoxNjAwMDEyOTMxfQ.MFivJUpEDYVuSW1mWIz7ohn1w5sLfmfJpkxPEl1oPb4
[1] https://twitter.com/salhaj/status/1306553847951822849
[1] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fdata-scientists-the-five-graph-algorithms-that-you-should-know-30f454fa5513%3Fsource%3Dsocial.tw
[1] https://neo4j.com/blog/combating-money-laundering-graph-data-visualizations/?ref=social-blog

Top URLs in Tweet in G7:
[2] https://sirota.substack.com/p/the-labor-day-graph-that-says-it

Top URLs in Tweet in G8:
[9] https://www.latinamerica.undp.org/content/rblac/es/home/presscenter/director-s-graph-for-thought/inclusion-requires-capacity---the-role-of-social-registries-in-e.html
[4] https://www.latinamerica.undp.org/content/rblac/en/home/presscenter/director-s-graph-for-thought/inclusion-requires-capacity---the-role-of-social-registries-in-e.html
[3] https://bit.ly/2DpWEUJ?utm_source=hootsuite&utm_medium=&utm_term=&utm_content=&utm_campaign=
[1] https://twitter.com/PNUDLAC/status/1303720137665712128

Top URLs in Tweet in G9:
[1] https://twitter.com/Lauren_Southern/status/1303647681667977216

Top Domains
Top Domains in Tweet in Entire Graph:
[78] neo4j.com
[52] medium.com
[40] twitter.com
[25] towardsdatascience.com
[16] com.au
[15] undp.org
[12] nodexlgraphgallery.org
[7] substack.com
[6] unomaha.edu
[5] co.uk

Top Domains in Tweet in G1:
[1] twitter.com

Top Domains in Tweet in G2:
[17] twitter.com
[13] neo4j.com
[3] newstatesman.com
[3] postcardmania.com
[3] engage.social
[2] undp.org
[2] linkedin.com
[2] wpknol.com
[2] orbys.net
[2] unrealengine.com

Top Domains in Tweet in G3:
[63] neo4j.com
[6] medium.com
[2] nodexlgraphgallery.org
[1] com.au
[1] kdnuggets.com
[1] technologyreview.com
[1] google.com
[1] axios.com

Top Domains in Tweet in G4:
[44] medium.com
[25] towardsdatascience.com
[2] neo4j.com
[1] hashnode.com
[1] twitter.com
[1] experfy.com
[1] dzone.com

Top Domains in Tweet in G7:
[2] substack.com

Top Domains in Tweet in G8:
[13] undp.org
[3] bit.ly
[1] twitter.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[37] neo4j
[34] machinelearning
[32] graphdatabase
[30] 100daysofcode
[24] connecteddata
[23] protecciónsocial
[22] graphdatabases
[18] graphforthought
[17] nodes2020
[17] registros



Top Hashtags in Tweet in G2:
[9] connecteddata
[7] graphdatabase
[5] graphdatamodel
[4] neo4j
[3] graphdatabases
[2] protecciónsocial
[2] graphforthought
[2] socialmediamarketing
[1] machinelearning
[1] socialnetworks

Top Hashtags in Tweet in G3:
[33] neo4j
[25] graphdatabase
[24] machinelearning
[19] graphdatabases
[17] nodes2020
[15] connecteddata
[10] aml
[7] moneylaundering
[7] neo4jbloom
[6] graphdatamodel

Top Hashtags in Tweet in G4:
[29] 100daysofcode
[7] graph
[7] machinelearning
[2] javascript
[2] nodejs
[2] datascience
[1] github
[1] githubaction
[1] twitter
[1] search

Top Hashtags in Tweet in G8:
[19] protecciónsocial
[17] registros
[14] graphforthought
[12] américalatina
[12] caribe
[10] covid19
[10] lac
[10] reconstruirmejor
[10] temporarybasicincome
[6] cashtransfers

Top Words
Top Words in Tweet in Entire Graph:
[1296] graph
[830] social
[281] again
[278] future
[275] scenario
[274] speculation
[273] irresponsible
[273] 'what
[273] if'
[273] projections

Top Words in Tweet in G1:
[272] graph
[272] irresponsible
[272] 'what
[272] if'
[272] speculation
[272] again
[272] future
[272] scenario
[272] projections
[272] contested

Top Words in Tweet in G2:
[158] graph
[127] social
[21] data
[19] media
[13] people
[12] look
[12] between
[12] tiktok
[10] network
[10] more

Top Words in Tweet in G3:
[114] graph
[69] neo4j
[45] databases
[37] read
[33] #neo4j
[33] dummies
[26] database
[25] #graphdatabase
[25] jimwebber
[24] #machinelearning

Top Words in Tweet in G4:
[91] tdatascience
[86] graph
[57] learning
[53] latent
[33] another
[32] networks
[29] #100daysofcode
[29] mmbronstein
[28] open
[28] problems

Top Words in Tweet in G5:
[2] stevenm95164330
[2] xbasslichtie
[2] swanage123
[2] baz__17
[2] sammyboy1610
[2] daviec66
[2] audiokid3
[2] countofdown
[2] theeurogirl
[2] spending

Top Words in Tweet in G6:
[2] block

Top Words in Tweet in G7:
[53] labor
[53] everyone
[52] day
[52] graph
[52] social
[52] media
[33] tweet
[33] know
[32] davidsirota
[27] one

Top Words in Tweet in G8:
[26] sociales
[24] países
[19] #protecciónsocial
[18] lflopezcalva
[18] mejorar
[17] capacity
[17] #registros
[16] sistemas
[14] #graphforthought
[14] deben

Top Words in Tweet in G9:
[42] ngo
[41] legitimately
[41] cared
[41] migrants
[41] especially
[41] ones
[41] already
[41] secondary
[41] safe
[41] country

Top Words in Tweet in G10:
[51] sweden
[50] destroyed
[25] covid
[25] replaced
[25] immigration
[25] favorite
[25] headline
[25] reporters
[24] chrchristensen
[24] pun

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[273] graph,irresponsible
[273] irresponsible,'what
[273] 'what,if'
[273] if',speculation
[273] speculation,again
[273] again,future
[273] future,scenario
[273] scenario,projections
[273] projections,contested
[272] fox_claire,graph

Top Word Pairs in Tweet in G1:
[272] graph,irresponsible
[272] irresponsible,'what
[272] 'what,if'
[272] if',speculation
[272] speculation,again
[272] again,future
[272] future,scenario
[272] scenario,projections
[272] projections,contested
[271] fox_claire,graph

Top Word Pairs in Tweet in G2:
[44] social,graph
[17] social,media
[12] graph,social
[9] social,distancing
[8] open,graph
[8] graph,databases
[7] interest,graph
[6] crashed,due
[6] due,coronavirus
[6] coronavirus,leads

Top Word Pairs in Tweet in G3:
[44] graph,databases
[33] databases,dummies
[23] graph,database
[17] introducing,graph
[16] re,excited
[16] excited,announce
[16] book,exploring
[16] exploring,basics
[15] basics,#graphdatabases
[14] machine,learning

Top Word Pairs in Tweet in G4:
[51] latent,graph
[27] graph,neural
[27] neural,networks
[27] networks,manifold
[27] manifold,learning
[27] learning,mmbronstein
[24] graph,learning
[24] learning,perspective
[24] perspective,old
[24] old,problems

Top Word Pairs in Tweet in G5:
[2] stevenm95164330,xbasslichtie
[2] xbasslichtie,swanage123
[2] swanage123,baz__17
[2] baz__17,sammyboy1610
[2] sammyboy1610,daviec66
[2] daviec66,audiokid3
[2] audiokid3,countofdown
[2] countofdown,theeurogirl

Top Word Pairs in Tweet in G7:
[52] labor,day
[52] social,media
[33] graph,tweet
[33] everyone,know
[27] one,labor
[27] day,graph
[27] tweet,social
[27] media,send
[27] send,everyone
[26] davidsirota,one

Top Word Pairs in Tweet in G8:
[17] #registros,sociales
[15] sistemas,#protecciónsocial
[14] deben,mejorar
[13] sociales,sistemas
[12] países,#américalatina
[12] #américalatina,#caribe
[12] #caribe,deben
[12] covid,19
[11] mejorar,#registros
[10] #temporarybasicincome,within

Top Word Pairs in Tweet in G9:
[41] ngo,legitimately
[41] legitimately,cared
[41] cared,migrants
[41] migrants,especially
[41] especially,ones
[41] ones,already
[41] already,secondary
[41] secondary,safe
[41] safe,country
[41] country,turkey

Top Word Pairs in Tweet in G10:
[25] sweden,destroyed
[25] destroyed,covid
[25] covid,replaced
[25] replaced,immigration
[25] immigration,destroyed
[25] destroyed,sweden
[25] sweden,favorite
[25] favorite,headline
[25] headline,reporters
[24] chrchristensen,sweden

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@fox_claire
@tdatascience
@neo4j
@lauren_southern
@davidsirota
@mmbronstein
@jimwebber
@chrchristensen
@jasmin_virdi
@chidambara09

Top Mentioned in G1:
@fox_claire

Top Mentioned in G2:
@postcardmania
@virtualtarzan
@samtaecay

Top Mentioned in G3:
@neo4j
@jimwebber
@rvanbruggen
@hadoxn
@kdnuggets
@ronald_vanloon
@graph_aware
@tdatascience
@ikwattro
@jasmin_virdi

Top Mentioned in G4:
@tdatascience
@mmbronstein
@chidambara09
@jasmin_virdi
@unburied_miner
@linked_do
@sudeepkumarpat9
@kelvin_sanchez
@frontenddude
@lylengyan

Top Mentioned in G5:
@xbasslichtie
@swanage123
@baz__17
@sammyboy1610
@daviec66
@audiokid3
@countofdown
@theeurogirl
@angloscot2
@stevenm95164330

Top Mentioned in G6:
@mattp1949
@show_sharp
@jamesrider3
@r_hartman
@bridgetholmstro
@asinister
@ricksheatcool
@ammocrypta
@tokyo_tom
@mark_a_lunn

Top Mentioned in G7:
@davidsirota
@jacobinmag

Top Mentioned in G8:
@lflopezcalva
@pnudlac
@undp
@pnud
@pnudpanama
@ceqinstitute
@noralustig
@cedh_arg
@undpsuriname
@randidavisundp

Top Mentioned in G9:
@lauren_southern

Top Mentioned in G10:
@chrchristensen

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@jurylady5
@chidambara09
@aaroncuddeback
@inquirerdotnet
@gambiste1
@rosenchild
@magicdmw
@codernotesbot
@businessinsider

Top Tweeters in G1:
@magicdmw
@heidiec5
@grancake
@pjpaton
@wisteriawitch
@annbank41695841
@fatfei_
@maturefinancier
@awakenowready
@geoffreyclewes

Top Tweeters in G2:
@edourdoo
@glynmoody
@quorumcall
@semilocon
@tggleeson
@ot7nanmolla
@gerryoat_bot
@lymanstoneky
@ninecomau
@gvenk

Top Tweeters in G3:
@andrewmorrisuk
@ve10ve
@wydmindfeersart
@hubofml
@rosannafreedom1
@ml_tweet_bot
@techtrendingnow
@friday_js_bot
@salhaj
@grjenkin

Top Tweeters in G4:
@sectest9
@chidambara09
@aaroncuddeback
@rosenchild
@codernotesbot
@xaelbot
@codedailybot
@100xcode
@cybersecurityn8
@learn__together

Top Tweeters in G5:
@2351onthelist
@theeurogirl
@sunshineonleith
@keithrsteele
@bellesareblue
@kat_bee_123
@tedditchburnnnp
@proud2bscotbrit
@ladysandison
@barnsh

Top Tweeters in G6:
@tokyo_tom
@asinister
@no2wind
@oscarswild1
@nooil4pacifists
@jamesrider3
@manifesto2000
@zsrenn
@deborahdiltz
@insane_voice

Top Tweeters in G7:
@pppatticake
@farfel54
@ritaleeparanoic
@littlebirdsteph
@brooklynnygirl
@timesmasher
@chrisaikman2
@sparky7u
@mdslock
@natsusanemi

Top Tweeters in G8:
@fintechna
@bagaluesunab
@makyosunim
@undp
@pnud
@gemmylontoc
@magnifintech
@pnudlac
@aldtiare
@jthundp

Top Tweeters in G9:
@rabiddogg
@snoopuhh
@fiddlerforest
@masterninja
@mick_mfc
@mousseman
@happyhobbit4
@akseli_9
@benbreece
@jimsgrigg

Top Tweeters in G10:
@milenaac
@michaelcozens
@volxfahradler
@danielwiklander
@dtzb
@grundbult
@mightyfeklhr
@monrodriguez
@chrchristensen
@3ikhu


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.