social graph, Twitter, 9/9/2020 4:18:18 AM, 234823


FAQ | Problem?

social graph_2020-09-08_21-04-00.xlsx
social graph_2020-09-08_21-04-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 09, 2020
Short Description:
social graph via NodeXL https://bit.ly/338h7Gs
@davidsirota
@jacobinmag
@wydmindfeersart
@inetextremism
@mehdirhasan
@mrroma17
@tdatascience
@kevingutowski2
@neo4j
@grjenkin

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

Description:
Description
The graph represents a network of 3,462 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, 09 September 2020 at 04:05 UTC.

The requested start date was Wednesday, 09 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 11-day, 13-hour, 25-minute period from Friday, 28 August 2020 at 02:08 UTC to Tuesday, 08 September 2020 at 15:33 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 : 3462
Unique Edges : 727
Edges With Duplicates : 5609
Total Edges : 6336
Number of Edge Types : 5
Retweet : 2720
MentionsInRetweet : 2822
Tweet : 217
Mentions : 386
Replies to : 191
Self-Loops : 225
Reciprocated Vertex Pair Ratio : 0.00301659125188537
Reciprocated Edge Ratio : 0.00601503759398496
Connected Components : 324
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 2297
Maximum Edges in a Connected Component : 4666
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.380395
Graph Density : 0.000277499999582707
Modularity : 0.44004
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,462 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, 09 September 2020 at 04:05 UTC.

The requested start date was Wednesday, 09 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 11-day, 13-hour, 25-minute period from Friday, 28 August 2020 at 02:08 UTC to Tuesday, 08 September 2020 at 15:33 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:
[23] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F10-graph-algorithms-visually-explained-e57faa1336f3%3Fsource%3Dsocial.tw
[22] 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://wpknol.com/open-graph-meta-tags-in-wordpress/
[8] https://towardsdatascience.com/part-2-exploring-pathfinding-graph-algorithms-e194ffb7f569?source=social.tw
[7] 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
[6] https://neo4j.com/blog/graph-analytics-business-users-5-minute-interview-robert-allison-kineviz/?ref=social-blog
[5] https://towardsdatascience.com/spatial-data-graph-spectrum-as-features-da5d10ec2d68?source=social.tw
[5] https://towardsdatascience.com/drug-discovery-with-graph-neural-networks-part-2-b1b8d60180c4?source=social.tw
[5] https://towardsdatascience.com/text-generation-from-knowledge-graphs-with-graph-transformers-c84156ddd446?source=social.tw
[4] https://www.sciencedirect.com/science/article/pii/S2212041620301182

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:
[9] https://wpknol.com/open-graph-meta-tags-in-wordpress/
[4] 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://www.covid.gov.pk/
[2] http://www.vldb.org/pvldb/vol13/p3217-matsunobu.pdf
[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://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
[2] https://www.highcharts.com/docs/chart-and-series-types/networkgraph
[2] https://arxiv.org/abs/2008.07939
[2] https://www.sciencedirect.com/science/article/pii/S2212041620301182

Top URLs in Tweet in G4:
[20] 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
[7] 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=

Top URLs in Tweet in G5:
[22] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F10-graph-algorithms-visually-explained-e57faa1336f3%3Fsource%3Dsocial.tw
[7] https://towardsdatascience.com/part-2-exploring-pathfinding-graph-algorithms-e194ffb7f569?source=social.tw
[4] https://towardsdatascience.com/text-generation-from-knowledge-graphs-with-graph-transformers-c84156ddd446?source=social.tw
[4] https://towardsdatascience.com/drug-discovery-with-graph-neural-networks-part-2-b1b8d60180c4?source=social.tw
[4] https://towardsdatascience.com/spatial-data-graph-spectrum-as-features-da5d10ec2d68?source=social.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
[2] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fdo-we-need-deep-graph-neural-networks-be62d3ec5c59%3Fsource%3Dsocial.tw
[1] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fthe-motivation-behind-sparsemax-and-its-relation-to-softmax-c84066c255c1%3Fsource%3Dsocial.tw
[1] https://towardsdatascience.com/how-to-build-a-recommendation-system-in-a-graph-database-using-a-latent-factor-model-fa2d142f874?source=social.tw

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

Top URLs in Tweet in G7:
[6] https://neo4j.com/blog/graph-analytics-business-users-5-minute-interview-robert-allison-kineviz/?ref=social-blog
[4] https://neo4j.com/blog/graph-analytics-business-users-5-minute-interview-robert-allison-kineviz/?ref=social-team&utm_source=GaggleAMP-Neo4j&utm_medium=Twitter%20(GaggleAMP)&utm_campaign=none%20(GaggleAMP)&utm_content=graph-analytics-for-business-users-5-minute-interview-with-robe-2655712
[2] https://neo4j.com/blog/combating-money-laundering-sprints-with-money-queries/?ref=social-blog
[2] https://neo4j.com/whitepapers/retailers-graph-technology-neo4j/?ref=social-camp
[1] https://neo4j.com/blog/lean-graph-data-models-drive-fast-innovation-fireside-chat-david-fox-adobe/?ref=social-blog
[1] https://go.neo4j.com/insiders-guide-to-enterprise-graph-data-science-lp.html?ref=social-camp
[1] https://neo4j.com/blog/discovering-hidden-skills-enterprise-knowledge-graph/?ref=social-blog
[1] https://neo4j.com/whitepapers/graph-algorithms-optimized-neo4j/?ref=social-camp
[1] https://neo4j.com/whitepapers/financial-fraud-detection-graph-data-science/?ref=social-camp
[1] https://neo4j.com/blog/combating-money-laundering-enterprise-aml-technology/?ref=social-blog

Top URLs in Tweet in G9:
[1] https://twitter.com/JDMahama/status/1303244572701712384

Top Domains
Top Domains in Tweet in Entire Graph:
[39] neo4j.com
[32] undp.org
[31] medium.com
[28] twitter.com
[25] towardsdatascience.com
[9] wpknol.com
[5] sciencedirect.com
[5] arxiv.org
[4] substack.com
[4] fiverr.com

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

Top Domains in Tweet in G3:
[13] twitter.com
[9] wpknol.com
[5] undp.org
[5] towardsdatascience.com
[4] engage.social
[4] postcardmania.com
[4] fiverr.com
[3] gov.pk
[3] ne.jp
[3] arxiv.org

Top Domains in Tweet in G4:
[27] undp.org
[3] bit.ly

Top Domains in Tweet in G5:
[29] medium.com
[20] towardsdatascience.com
[2] linkedin.com
[1] twitter.com
[1] grakn.ai
[1] experfy.com

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

Top Domains in Tweet in G7:
[37] neo4j.com
[3] ow.ly
[1] twitter.com
[1] flancia.org

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[51] lac
[50] covid19
[40] protecciónsocial
[38] graphforthought
[31] cashtransfers
[31] poverty
[19] neo4j
[18] reconstruirmejor
[15] inclusivos
[14] ingresobásicotemporal



Top Hashtags in Tweet in G3:
[13] socialmediamarketing
[4] covid19
[4] socialdistancing
[4] service
[4] fiverr
[3] coronavirusupdates
[3] staysafe
[3] freelance
[3] digitalmarketingservices
[3] digitalmarketer

Top Hashtags in Tweet in G4:
[51] lac
[43] covid19
[40] protecciónsocial
[36] graphforthought
[31] cashtransfers
[31] poverty
[18] reconstruirmejor
[15] inclusivos
[14] ingresobásicotemporal
[9] socialprotection

Top Hashtags in Tweet in G5:
[4] datascience
[2] algorithms
[2] graphs
[2] computerscience
[1] featured
[1] datastructures
[1] knowledgegraph
[1] covid19
[1] ai
[1] ontologies

Top Hashtags in Tweet in G7:
[18] neo4j
[9] graphdatascience
[8] graphtechnology
[7] graphanalytics
[5] connecteddata
[5] nodes
[4] graphalgorithms
[4] frauddetection
[3] graphdatabase
[3] graphtheory

Top Words
Top Words in Tweet in Entire Graph:
[2942] graph
[2879] social
[2414] media
[2294] everyone
[2292] day
[2291] labor
[1869] know
[1850] tweet
[1843] davidsirota
[1799] one

Top Words in Tweet in G1:
[1808] labor
[1808] day
[1808] graph
[1808] social
[1808] media
[1808] everyone
[1807] tweet
[1807] know
[1805] davidsirota
[1680] one

Top Words in Tweet in G2:
[469] labor
[469] everyone
[468] graph
[468] social
[468] media
[468] day
[433] forward
[433] family
[433] friends
[433] feeds

Top Words in Tweet in G3:
[109] graph
[93] social
[20] media
[16] data
[13] covid
[13] àµ
[13] #socialmediamarketing
[11] more
[10] 19
[9] distancing

Top Words in Tweet in G4:
[57] lflopezcalva
[56] sociales
[54] registros
[51] #lac
[49] países
[43] #covid19
[40] pnudlac
[40] #protecciónsocial
[38] sistemas
[36] #graphforthought

Top Words in Tweet in G5:
[77] graph
[68] tdatascience
[30] algorithms
[28] 10
[26] build
[26] recommendation
[26] system
[26] database
[26] using
[26] latent

Top Words in Tweet in G6:
[56] social
[56] media
[55] graph
[53] boosted
[53] conspiracy
[53] theories
[52] one
[51] inetextremism
[50] measures
[50] rothschild

Top Words in Tweet in G7:
[54] graph
[22] neo4j
[18] #neo4j
[15] archives
[14] social
[13] blog
[11] read
[9] #graphdatascience
[9] interview
[8] #graphtechnology

Top Words in Tweet in G8:
[34] social
[33] lincolnsbible
[33] pernicious
[33] part
[33] russia
[33] malign
[33] actors
[33] access
[33] broader
[33] connections

Top Words in Tweet in G9:
[56] infra
[28] b4
[28] built
[28] massive
[28] 2013
[28] 16
[28] building
[28] base
[28] schools
[28] under

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:
[2412] social,media
[2284] labor,day
[1846] everyone,know
[1845] graph,tweet
[1714] day,graph
[1712] one,labor
[1712] tweet,social
[1712] media,send
[1712] send,everyone
[1711] davidsirota,one

Top Word Pairs in Tweet in G1:
[1808] labor,day
[1808] social,media
[1807] graph,tweet
[1807] everyone,know
[1680] one,labor
[1680] day,graph
[1680] tweet,social
[1680] media,send
[1680] send,everyone
[1679] davidsirota,one

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

Top Word Pairs in Tweet in G3:
[33] social,graph
[19] social,media
[10] covid,19
[9] social,distancing
[9] open,graph
[9] graph,meta
[9] meta,tags
[8] optimize,open
[8] tags,wordpress
[8] wordpress,#socialmediamarketing

Top Word Pairs in Tweet in G4:
[48] registros,sociales
[43] países,#lac
[31] inclusion,requires
[31] requires,capacity
[31] capacity,rapidly
[31] rapidly,expanding
[31] expanding,#cashtransfers
[31] #cashtransfers,partially
[31] partially,mitigated
[31] mitigated,impact

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

Top Word Pairs in Tweet in G6:
[56] social,media
[53] media,boosted
[53] boosted,conspiracy
[53] conspiracy,theories
[51] theories,one
[50] one,graph
[50] graph,measures
[50] measures,rothschild
[50] rothschild,common
[50] common,name

Top Word Pairs in Tweet in G7:
[8] interview,robert
[8] robert,allison
[8] best,blog
[8] blog,archives
[7] graph,technology
[7] business,users
[7] users,minute
[7] minute,interview
[7] allison,kineviz
[6] graph,data

Top Word Pairs in Tweet in G8:
[33] lincolnsbible,pernicious
[33] pernicious,part
[33] part,russia
[33] russia,malign
[33] malign,actors
[33] actors,access
[33] access,broader
[33] broader,social
[33] social,connections
[32] zevshalev,lincolnsbible

Top Word Pairs in Tweet in G9:
[28] b4,built
[28] built,massive
[28] massive,infra
[28] infra,2013
[28] 2013,16
[28] 16,building
[28] building,infra
[28] infra,base
[28] base,schools
[28] schools,under

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
@zevshalev
@lincolnsbible
@sethterkper
@viji112

Top Mentioned in G1:
@davidsirota
@jacobinmag

Top Mentioned in G2:
@jacobinmag
@davidsirota

Top Mentioned in G3:
@postcardmania

Top Mentioned in G4:
@lflopezcalva
@pnudlac
@pnudbolivia
@pnud
@siubenrd
@pnud_algenera
@inkamattila
@pnudecuador
@pnuduruguay
@pnudargentina

Top Mentioned in G5:
@tdatascience
@viji112
@st3llasia
@connected_data
@joe_trash_talk
@solyarisoftware
@mmbronstein
@trailhub1
@trailmarks
@rightrelevance

Top Mentioned in G6:
@inetextremism
@travis_view
@davidsirota

Top Mentioned in G7:
@neo4j
@amyhodler
@kineviz
@codexeditor
@joychao
@jimwebber
@liminal_warmth
@yow_conf
@neo4
@flancian

Top Mentioned in G8:
@zevshalev
@lincolnsbible

Top Mentioned in G9:
@sethterkper

Top Mentioned in G10:
@como_healthdept

Top Tweeters
Top Tweeters in Entire Graph:
@twitlertwit
@drdaveanddee
@ggg_says
@b1e56df9ce6549f
@johnjoechad
@mayirmamay14
@rosenchild
@katcapps
@senseof_outrage
@kimvie

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
@nobiggovduh
@march4progress
@netbacker
@starchyarchie
@senor_sick
@marco_cerdio
@alexagudelo10

Top Tweeters in G3:
@douchebagstrat
@film_girl
@samayamm
@loh
@hncynic
@arxiv_cscl
@c4chaos
@amarpatel001
@badc0da
@cpm5280

Top Tweeters in G4:
@josecdiez
@tonymendezr
@salhaj
@miamenabar
@undp
@hcrffngo
@henry_caceresr
@hugonopo
@leonpres
@pnud

Top Tweeters in G5:
@rosenchild
@parvez1
@grjenkin
@edrc30
@renato_umeton
@tiagoooliveira
@danielscarvalho
@ancarrillo964
@jadp
@hampshire67

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

Top Tweeters in G7:
@billseitz
@neo4j
@adobe
@sn_fk_n
@rasulvatsan
@sayhi2amethyst
@jack
@dhbbaw
@yow_conf
@liminal_warmth

Top Tweeters in G8:
@mayirmamay14
@politeperson123
@cammac491
@rhapsodysbiues
@dry_observer
@lovemydogsxo
@savvytroll
@patlcswmssm
@kramer_susan
@stuartsyvret

Top Tweeters in G9:
@cheesquire
@dessidarl
@lim_jnr
@awusiadinkra
@teri_devon
@close_range_
@paul_kagame_
@rlcfan
@owuraku_dorsty
@carrieglynd

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


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.