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social graph_2020-09-15_21-01-00.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
September 16, 2020
Short Description:
social graph via NodeXL https://bit.ly/3kj5NhG
@davidsirota
@jacobinmag
@salhaj
@tdatascience
@neo4j
@inetextremism
@lflopezcalva
@pnudlac
@wydmindfeersart
@jasmin_virdi

Top hashtags:
#lac
#covid19
#protecciónsocial
#graphforthought
#cashtransfers
#poverty
#neo4j

Description:
Description
The graph represents a network of 3,920 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, 16 September 2020 at 04:02 UTC.

The requested start date was Wednesday, 16 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, 15-hour, 27-minute period from Wednesday, 02 September 2020 at 00:21 UTC to Tuesday, 15 September 2020 at 15:49 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 : 3920
Unique Edges : 1007
Edges With Duplicates : 6309
Total Edges : 7316
Number of Edge Types : 5
Replies to : 218
Mentions : 526
Retweet : 3031
MentionsInRetweet : 3251
Tweet : 290
Self-Loops : 302
Reciprocated Vertex Pair Ratio : 0.0104356900600052
Reciprocated Edge Ratio : 0.0206558223599277
Connected Components : 394
Single-Vertex Connected Components : 133
Maximum Vertices in a Connected Component : 2695
Maximum Edges in a Connected Component : 5677
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.757177
Graph Density : 0.000252107732605673
Modularity : 0.458855
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,920 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, 16 September 2020 at 04:02 UTC.

The requested start date was Wednesday, 16 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, 15-hour, 27-minute period from Wednesday, 02 September 2020 at 00:21 UTC to Tuesday, 15 September 2020 at 15:49 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:
[31] 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
[22] 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
[12] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[9] 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
[8] https://www.sciencedirect.com/science/article/pii/S2212041620301182
[7] https://wpknol.com/open-graph-meta-tags-in-wordpress/
[6] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F10-graph-algorithms-visually-explained-e57faa1336f3%3Fsource%3Dsocial.tw
[5] 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
[5] https://bit.ly/2DpWEUJ?utm_source=hootsuite&utm_medium=&utm_term=&utm_content=&utm_campaign=

Top URLs in Tweet in G1:
[2] https://sirota.substack.com/p/the-labor-day-graph-that-says-it

Top URLs in Tweet in G3:
[27] 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://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
[8] https://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[5] https://bit.ly/2DpWEUJ?utm_source=hootsuite&utm_medium=&utm_term=&utm_content=&utm_campaign=
[4] https://neo4j.com/nodes-2020/?ref=social-&utm_source=promos&utm_medium=social
[4] https://neo4j.com/blog/combating-money-laundering-aml-graph-algorithms/?ref=social-blog
[3] https://neo4j.com/blog/graph-analytics-business-users-5-minute-interview-robert-allison-kineviz/?ref=social-blog
[2] https://medium.com/@st3llasia/why-you-should-read-hands-on-graph-analytics-with-neo4j-b1a65c7ce654?source=social.tw
[2] https://neo4j.com/blog/run-cypher-to-analyze-neo4j-graph-database-inconsistencies/?ref=social-blog
[2] https://neo4j.com/whitepapers/retailers-graph-technology-neo4j/?ref=social-camp

Top URLs in Tweet in G4:
[7] https://wpknol.com/open-graph-meta-tags-in-wordpress/
[5] 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
[4] 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://neo4j.com/graph-databases-for-dummies/?ref=social-camp
[4] 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://arxiv.org/abs/2008.07939
[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
[2] http://www.vldb.org/pvldb/vol13/p3217-matsunobu.pdf
[2] https://www.fiverr.com/seo_graph/do-youtube-video-promotion-through-social-media
[2] https://www.fiverr.com/seo_graph/be-your-social-media-marketing-manager

Top URLs in Tweet in G5:
[22] 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
[6] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F10-graph-algorithms-visually-explained-e57faa1336f3%3Fsource%3Dsocial.tw
[4] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fmanifold-learning-2-99a25eeb677d%3Fsource%3Dsocial.tw
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-build-a-recommendation-system-in-a-graph-database-using-a-latent-factor-model-fa2d142f874%3Fsource%3Dsocial.tw
[2] https://www.linkedin.com/in/miklosjanoska/
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Ftop-10-learning-resources-for-graph-neural-networks-f24d4eb2cc2b%3Fsource%3Dsocial.tw
[1] https://www.experfy.com/blog/temporal-graph-networks/
[1] https://towardsdatascience.com/how-to-build-a-recommendation-system-in-a-graph-database-using-a-latent-factor-model-fa2d142f874?source=social.tw
[1] https://hashnode.com/identity?next=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuZXh0VXJsIjoiaHR0cHM6Ly9qYXNtaW4uaGFzaG5vZGUuZGV2L2NyZWF0ZS1vcGVuLWdyYXBoLWltYWdlcy1mcm9tLWdpdGh1Yi1hY3Rpb25zIiwiaWF0IjoxNjAwMDEyOTMxfQ.MFivJUpEDYVuSW1mWIz7ohn1w5sLfmfJpkxPEl1oPb4

Top URLs in Tweet in G6:
[1] https://books.google.com/ngrams/graph?smoothing=3&corpus=26&year_end=2019&year_start=1996&content=rothschilds&direct_url=t1%3B%2Crothschilds%3B%2Cc0
[1] https://twitter.com/inetextremism/status/1303065144281292800

Top URLs in Tweet in G7:
[1] https://twitter.com/Lauren_Southern/status/1303647681667977216

Top URLs in Tweet in G8:
[1] https://twitter.com/JDMahama/status/1303244572701712384

Top URLs in Tweet in G9:
[2] https://www.symplur.com/healthcare-social-graph-score/
[1] https://theinformationalturn.net/kardashian-index/

Top Domains
Top Domains in Tweet in Entire Graph:
[59] neo4j.com
[43] medium.com
[43] undp.org
[41] twitter.com
[23] towardsdatascience.com
[9] sciencedirect.com
[7] substack.com
[7] wpknol.com
[6] engage.social
[5] nodexlgraphgallery.org

Top Domains in Tweet in G1:
[2] substack.com

Top Domains in Tweet in G3:
[47] neo4j.com
[36] undp.org
[5] bit.ly
[2] medium.com
[2] twitter.com
[1] com.au
[1] axios.com
[1] kdnuggets.com
[1] nodexlgraphgallery.org

Top Domains in Tweet in G4:
[20] twitter.com
[11] neo4j.com
[7] undp.org
[7] wpknol.com
[6] engage.social
[5] postcardmania.com
[4] arxiv.org
[4] fiverr.com
[2] ne.jp
[2] vldb.org

Top Domains in Tweet in G5:
[38] medium.com
[22] towardsdatascience.com
[2] linkedin.com
[1] experfy.com
[1] hashnode.com
[1] dzone.com
[1] arxiv.org
[1] grakn.ai

Top Domains in Tweet in G6:
[1] google.com
[1] twitter.com

Top Domains in Tweet in G7:
[1] twitter.com

Top Domains in Tweet in G8:
[1] twitter.com

Top Domains in Tweet in G9:
[2] symplur.com
[1] theinformationalturn.net

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[58] lac
[55] covid19
[55] protecciónsocial
[50] graphforthought
[35] cashtransfers
[35] poverty
[28] neo4j
[25] reconstruirmejor
[21] connecteddata
[19] graphdatabases



Top Hashtags in Tweet in G3:
[58] lac
[53] protecciónsocial
[52] covid19
[46] graphforthought
[35] cashtransfers
[35] poverty
[25] reconstruirmejor
[24] neo4j
[17] graphdatabases
[17] inclusivos

Top Hashtags in Tweet in G4:
[12] socialmediamarketing
[6] graphdatabase
[6] connecteddata
[4] neo4j
[4] service
[4] fiverr
[4] graphforthought
[4] graphdatamodel
[3] freelance
[3] digitalmarketingservices

Top Hashtags in Tweet in G5:
[15] 100daysofcode
[5] datascience
[2] ai
[2] javascript
[2] machinelearning
[1] deeplearning
[1] bigdata
[1] iot
[1] tech
[1] data

Top Hashtags in Tweet in G9:
[1] hardmetrics
[1] healthcare

Top Words
Top Words in Tweet in Entire Graph:
[3266] graph
[3129] social
[2541] media
[2408] day
[2404] everyone
[2403] labor
[1937] know
[1913] tweet
[1904] davidsirota
[1868] one

Top Words in Tweet in G1:
[1864] labor
[1864] day
[1864] graph
[1864] social
[1864] media
[1864] everyone
[1863] tweet
[1863] know
[1861] davidsirota
[1729] one

Top Words in Tweet in G2:
[523] labor
[523] everyone
[522] graph
[522] social
[522] media
[522] day
[485] forward
[485] family
[485] friends
[485] feeds

Top Words in Tweet in G3:
[82] graph
[70] sociales
[69] lflopezcalva
[64] registros
[60] países
[58] #lac
[54] neo4j
[53] #protecciónsocial
[52] #covid19
[47] sistemas

Top Words in Tweet in G4:
[170] graph
[148] social
[24] needs
[23] power
[20] media
[20] data
[17] tm
[13] àµ
[13] people
[13] look

Top Words in Tweet in G5:
[105] tdatascience
[91] graph
[75] latent
[50] learning
[30] networks
[30] using
[29] build
[29] recommendation
[29] system
[29] database

Top Words in Tweet in G6:
[60] social
[60] media
[59] graph
[57] boosted
[57] conspiracy
[57] theories
[56] one
[55] inetextremism
[54] measures
[54] rothschild

Top Words in Tweet in G7:
[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 G8:
[70] infra
[35] b4
[35] built
[35] massive
[35] 2013
[35] 16
[35] building
[35] base
[35] schools
[35] under

Top Words in Tweet in G9:
[13] emarianomd
[12] deepak_neuro
[9] social
[8] dr_rajgupta
[7] sapnakmd
[7] symplur
[7] ankeetudani
[7] tomvarghesejr
[6] pascaljabbourmd
[6] harriethopfmd

Top Words in Tweet in G10:
[23] shown
[23] graph
[23] boone
[23] county
[23] experienced
[23] increased
[23] spread
[23] covid
[23] 19
[23] virus

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2536] social,media
[2397] labor,day
[1905] graph,tweet
[1905] everyone,know
[1766] day,graph
[1764] one,labor
[1764] tweet,social
[1764] media,send
[1764] send,everyone
[1763] davidsirota,one

Top Word Pairs in Tweet in G1:
[1864] labor,day
[1864] social,media
[1863] graph,tweet
[1863] everyone,know
[1729] one,labor
[1729] day,graph
[1729] tweet,social
[1729] media,send
[1729] send,everyone
[1728] davidsirota,one

Top Word Pairs in Tweet in G2:
[522] social,media
[522] labor,day
[485] forward,graph
[485] graph,family
[485] family,friends
[485] friends,social
[485] media,feeds
[485] feeds,labor
[485] day,remind
[485] remind,everyone

Top Word Pairs in Tweet in G3:
[57] registros,sociales
[48] países,#lac
[34] inclusion,requires
[34] requires,capacity
[34] capacity,rapidly
[34] rapidly,expanding
[34] expanding,#cashtransfers
[34] #cashtransfers,partially
[34] partially,mitigated
[34] mitigated,impact

Top Word Pairs in Tweet in G4:
[65] social,graph
[23] graph,needs
[20] social,media
[17] tm,power
[12] social,distancing
[11] open,graph
[9] graph,meta
[9] meta,tags
[9] crashed,due
[9] due,coronavirus

Top Word Pairs in Tweet in G5:
[46] latent,graph
[29] build,recommendation
[29] recommendation,system
[29] system,graph
[29] graph,database
[29] database,using
[29] using,latent
[29] latent,factor
[29] factor,model
[29] model,changran

Top Word Pairs in Tweet in G6:
[60] social,media
[57] media,boosted
[57] boosted,conspiracy
[57] conspiracy,theories
[55] theories,one
[54] one,graph
[54] graph,measures
[54] measures,rothschild
[54] rothschild,common
[54] common,name

Top Word Pairs in Tweet in G7:
[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 G8:
[35] b4,built
[35] built,massive
[35] massive,infra
[35] infra,2013
[35] 2013,16
[35] 16,building
[35] building,infra
[35] infra,base
[35] base,schools
[35] schools,under

Top Word Pairs in Tweet in G9:
[6] sapnakmd,tomvarghesejr
[6] tomvarghesejr,dr_rajgupta
[6] dr_rajgupta,pascaljabbourmd
[6] pascaljabbourmd,harriethopfmd
[6] harriethopfmd,gropperucsf
[6] healthcare,social
[5] deepak_neuro,emarianomd
[5] emarianomd,sapnakmd
[5] thanks,interesting
[5] interesting,thread

Top Word Pairs in Tweet in G10:
[23] shown,graph
[23] graph,boone
[23] boone,county
[23] county,experienced
[23] experienced,increased
[23] increased,spread
[23] spread,covid
[23] covid,19
[23] 19,virus
[23] virus,last

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@davidsirota
@jacobinmag
@tdatascience
@lflopezcalva
@inetextremism
@pnudlac
@neo4j
@lauren_southern
@sethterkper
@mmbronstein

Top Mentioned in G1:
@davidsirota
@jacobinmag

Top Mentioned in G2:
@jacobinmag
@davidsirota

Top Mentioned in G3:
@lflopezcalva
@pnudlac
@neo4j
@undp
@pnud
@jimwebber
@kdnuggets
@ronald_vanloon
@pnudbolivia
@hadoxn

Top Mentioned in G4:
@postcardmania
@virtualtarzan

Top Mentioned in G5:
@tdatascience
@mmbronstein
@chidambara09
@jasmin_virdi
@viji112
@linked_do
@aaranged
@hashnode
@taizun_tapia
@theomitsa

Top Mentioned in G6:
@inetextremism
@davidsirota
@travis_view

Top Mentioned in G7:
@lauren_southern

Top Mentioned in G8:
@sethterkper

Top Mentioned in G9:
@deepak_neuro
@emarianomd
@dr_rajgupta
@sapnakmd
@symplur
@ankeetudani
@tomvarghesejr
@pascaljabbourmd
@harriethopfmd
@gropperucsf

Top Mentioned in G10:
@como_healthdept

Top Tweeters
Top Tweeters in Entire Graph:
@jurylady5
@chidambara09
@aaroncuddeback
@twitlertwit
@drdaveanddee
@ggg_says
@b1e56df9ce6549f
@johnjoechad
@rosenchild
@katcapps

Top Tweeters in G1:
@twitlertwit
@ggg_says
@b1e56df9ce6549f
@katcapps
@senseof_outrage
@kimvie
@sar_oso
@bob_stinson1234
@houstonfan00
@allan_crawshaw

Top Tweeters in G2:
@drdaveanddee
@johnjoechad
@tates5a
@pppatticake
@nobiggovduh
@march4progress
@netbacker
@starchyarchie
@senor_sick
@marco_cerdio

Top Tweeters in G3:
@fintechna
@andrewmorrisuk
@hubofml
@rosannafreedom1
@ml_tweet_bot
@josecdiez
@tonymendezr
@salhaj
@makyosunim
@grjenkin

Top Tweeters in G4:
@edourdoo
@glynmoody
@tggleeson
@douchebagstrat
@ot7nanmolla
@gerryoat_bot
@samayamm
@gvenk
@hncynic
@benjaminabock

Top Tweeters in G5:
@chidambara09
@aaroncuddeback
@rosenchild
@codernotesbot
@xaelbot
@codedailybot
@learn__together
@llnuxbot
@codegnuts
@nlognbot

Top Tweeters in G6:
@on_bender
@ve10ve
@wydmindfeersart
@throwbacklib
@eaterofsoles
@postimusmaximus
@cocobadu
@charlie21963535
@purplechrain
@chris0s

Top Tweeters in G7:
@rabiddogg
@snoopuhh
@fiddlerforest
@masterninja
@mick_mfc
@mousseman
@happyhobbit4
@akseli_9
@benbreece
@jimsgrigg

Top Tweeters in G8:
@cheesquire
@dessidarl
@lim_jnr
@awusiadinkra
@teri_devon
@close_range_
@paul_kagame_
@rlcfan
@owuraku_dorsty
@dekoando

Top Tweeters in G9:
@tomvarghesejr
@giasison
@jbbc
@endocrine_witch
@arghavan_salles
@healthhashtags
@amit_pawa
@sapnakmd
@emarianomd
@somedocs

Top Tweeters in G10:
@lzapp16
@knalllen
@imonitnotcrazy1
@ts_hancock
@aboylej
@fleetwood_mads
@ryanfamuliner
@juliel043
@bambi__lovely
@muwomenscenter