social graph, Twitter, 9/29/2021 4:18:19 AM, 263170


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social graph_2021-09-28_21-04-00.xlsx
social graph_2021-09-28_21-04-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 29, 2021
Short Description:
social graph via NodeXL https://bit.ly/3zKR0DO
@tdatascience
@graphprotocol
@neal_cowboy
@callin_bull
@neo4j
@ml_tweet_bot
@gerimonsen1
@pool_pm
@social_seer
@n4v1111

Top hashtags:
#datascience
#100daysofcode
#gds
#graphdatascience
#networkanalysis
#holochain
#neo4j

Description:
Description
The graph represents a network of 1,106 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, 29 September 2021 at 04:05 UTC.

The requested start date was Wednesday, 29 September 2021 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, 16-hour, 31-minute period from Wednesday, 15 September 2021 at 00:33 UTC to Tuesday, 28 September 2021 at 17:05 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 : 1106
Unique Edges : 688
Edges With Duplicates : 891
Total Edges : 1579
Number of Edge Types : 5
Retweet : 380
MentionsInRetweet : 492
Replies to : 174
Mentions : 335
Tweet : 198
Self-Loops : 205
Reciprocated Vertex Pair Ratio : 0.0212992545260916
Reciprocated Edge Ratio : 0.0417101147028154
Connected Components : 300
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 57
Maximum Edges in a Connected Component : 182
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.812524
Graph Density : 0.000784695572484106
Modularity : 0.627368
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,106 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, 29 September 2021 at 04:05 UTC.

The requested start date was Wednesday, 29 September 2021 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, 16-hour, 31-minute period from Wednesday, 15 September 2021 at 00:33 UTC to Tuesday, 28 September 2021 at 17:05 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:
[16] https://pool.pm/
[10] https://towardsdatascience.com/a-very-simple-guide-of-knowledge-graph-for-health-data-scientists-bb8cefc1db31?source=social.tw
[10] https://inspiretothrive.com/adding-open-graph-tags-to-your-header-for-social-media-optimization/
[7] https://towardsdatascience.com/graph-neural-network-gnn-architectures-for-recommendation-systems-7b9dd0de0856?source=social.tw
[7] https://www.thegatewaypundit.com/2021/09/going-arizona-recently-processed-67300-voter-identities-social-security-administration-58-no-match-found/?utm_source=Twitter&utm_medium=PostTopSharingButtons&utm_campaign=websitesharingbuttons
[6] https://towardsdatascience.com/build-your-first-graph-neural-network-model-to-predict-traffic-speed-in-20-minutes-b593f8f838e5?source=social.tw
[5] https://okt.to/y1NmAL
[5] https://www.nodexlgraphgallery.org/Pages/Graph.aspx?graphID=262091
[4] https://networks.skewed.de/net/flickr_aminer
[4] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=262209

Top URLs in Tweet in G1:
[4] https://networks.skewed.de/net/flickr_aminer
[2] https://khamsat.com/user/motion-graph
[2] https://mostaql.com/u/motion_graphic
[2] https://kafiil.com/?ref=ba0cde18-3a2b
[2] https://www.fiverr.com/s2/92adbce330
[1] https://developers.facebook.com/docs/graph-api/webhooks/getting-started#configure-webhooks-product
[1] https://amritvichar.com/rising-cyber-crime-graph-in-india-statistics-telling-the-reality-of-fake-information-on-social-media/
[1] https://twitter.com/JonHaidt/status/1437836289332629505?s=20
[1] https://osf.io/vyn6z/
[1] http://scforum.info/index.php?topic=18403.0&utm_source=dlvr.it&utm_medium=twitter

Top URLs in Tweet in G2:
[10] https://towardsdatascience.com/a-very-simple-guide-of-knowledge-graph-for-health-data-scientists-bb8cefc1db31?source=social.tw
[7] https://towardsdatascience.com/graph-neural-network-gnn-architectures-for-recommendation-systems-7b9dd0de0856?source=social.tw
[6] https://towardsdatascience.com/build-your-first-graph-neural-network-model-to-predict-traffic-speed-in-20-minutes-b593f8f838e5?source=social.tw
[3] http://Race.io
[2] https://medium.com/m/global-identity?redirectUrl=https://towardsdatascience.com/lets-talk-about-graph-neural-network-python-libraries-a0b23ec983b0%3Fsource%3Dsocial.tw
[2] https://towardsdatascience.com/basic-molecular-representation-for-machine-learning-b6be52e9ff76?source=social.tw
[2] https://towardsdatascience.com/fuse-graph-neural-networks-with-semantic-reasoning-to-produce-complimentary-predictions-33a238d555c0?source=social.tw
[2] https://towardsdatascience.com/graph-database-graphql-and-machine-learning-for-carbohydrate-active-enzymes-dba8500b45cf?source=social.tw
[2] https://medium.com/m/global-identity?redirectUrl=https://towardsdatascience.com/creating-a-community-specific-reputation-score-for-users-of-web3-platform-mirror-xyz-14d494a25ea8%3Fsource%3Dsocial.tw
[2] http://Gender.ly

Top URLs in Tweet in G3:
[1] https://www.youtube.com/watch?v=T3LOyB2oJu8&feature=youtu.be

[1] https://medium.com/@amexicotte/the-role-of-the-graph-in-the-web3-data-economy-955a901af99b?source=social.tw

Top URLs in Tweet in G5:
[1] https://www.nytimes.com/2021/09/22/upshot/murder-rise-2020.html

Top URLs in Tweet in G6:
[5] https://okt.to/y1NmAL
[4] https://neo4j.com/blog/global-growth-graphs-interview-with-graphaware/?ref=social-blog
[3] https://okt.to/ZfvTlE
[2] https://neo4j.com/blog/how-the-financial-services-industry-uses-graph-technology-infographic/?ref=social-blog
[1] https://okt.to/kKX4dG
[1] https://go.neo4j.com/de-210922-graph-data-science-and-machine-learning.html?ref=social-event
[1] https://go.neo4j.com/de-210928-neo4j-live-demo-neo4j-aura-the-fastest-path-to-graph.html?ref=social-event
[1] https://okt.to/RViU25
[1] https://neo4j.com/whitepapers/artificial-intelligence-standards/?ref=social-camp

Top URLs in Tweet in G7:
[2] https://www.nydailynews.com/opinion/ny-oped-a-real-get-out-of-jail-card-20210918-3yaozax67zamlkx5ixle7ivx7e-story.html
[1] https://twitter.com/DLeonhardt/status/1442456189661589506
[1] https://www1.nyc.gov/site/doh/covid/covid-19-data-totals.page

Top URLs in Tweet in G9:
[16] https://pool.pm/
[1] https://pool.pm/5a532a00879f64e1c97333686477dd6722ac61f06e0d34a65d3f996e.FacelessPainter0781

Top Domains
Top Domains in Tweet in Entire Graph:
[45] twitter.com
[30] towardsdatascience.com
[17] pool.pm
[10] medium.com
[10] inspiretothrive.com
[10] okt.to
[10] nodexlgraphgallery.org
[9] neo4j.com
[7] thegatewaypundit.com
[5] skewed.de

Top Domains in Tweet in G1:
[13] twitter.com
[5] skewed.de
[2] ugent.be
[2] khamsat.com
[2] mostaql.com
[2] kafiil.com
[2] fiverr.com
[2] vimeo.com
[2] bing.com
[2] cardanocube.io

Top Domains in Tweet in G2:
[30] towardsdatascience.com
[9] medium.com
[3] race.io
[2] gender.ly
[1] gender.io
[1] marginality.ly
[1] humanagency.org
[1] brandbucket.com

Top Domains in Tweet in G3:
[1] youtube.com
[1] medium.com

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

Top Domains in Tweet in G6:
[10] okt.to
[9] neo4j.com

Top Domains in Tweet in G7:
[2] nydailynews.com
[1] twitter.com
[1] nyc.gov

Top Domains in Tweet in G9:
[17] pool.pm

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] datascience
[7] 100daysofcode
[6] gds
[6] graphdatascience
[6] networkanalysis
[5] holochain
[5] neo4j
[4] puppetize
[4] knowledgegraph
[4] shrm21



Top Hashtags in Tweet in G1:
[1] cybercrime
[1] socialmediamarketing
[1] is434
[1] covid19ab
[1] fireshandro
[1] anujkapadia
[1] maan
[1] tw06
[1] lw03
[1] twitter_share

Top Hashtags in Tweet in G2:
[1] machinelearning
[1] ai
[1] deeplearning
[1] neuralnetworks

Top Hashtags in Tweet in G6:
[7] datascience
[6] gds
[6] graphdatascience
[5] neo4j
[4] knowledgegraph
[3] graphdatabases
[3] graphcast
[3] graphdatabase
[2] finserv
[2] ai

Top Hashtags in Tweet in G8:
[1] bsc
[1] bnb
[1] ama
[1] swg

Top Hashtags in Tweet in G9:
[1] cnft

Top Words
Top Words in Tweet in Entire Graph:
[712] graph
[588] social
[159] media
[98] find
[78] need
[78] open
[75] more
[75] based
[66] data
[65] network

Top Words in Tweet in G1:
[100] social
[92] graph
[20] network
[19] media
[12] user
[9] people
[8] sharing
[8] more
[8] fb
[8] twitter

Top Words in Tweet in G2:
[86] graph
[58] tdatascience
[50] based
[50] format
[44] social
[40] power
[40] needs
[31] tm
[29] looks
[27] molecular

Top Words in Tweet in G3:
[52] graphprotocol
[42] defi
[42] nfts
[42] social
[42] media
[42] blockchain
[42] need
[42] information
[42] portrayed
[42] front

Top Words in Tweet in G4:
[3] left
[3] center
[2] right
[2] issues

Top Words in Tweet in G5:
[90] find
[45] obviously
[45] murder
[45] rate
[45] dreadful
[45] thing
[45] ways
[45] reduce
[45] graph
[44] callin_bull

Top Words in Tweet in G6:
[28] graph
[26] neo4j
[11] data
[10] science
[10] based
[10] code
[10] analysis
[7] #datascience
[6] #gds
[6] #graphdatascience

Top Words in Tweet in G7:
[11] graph
[4] people
[3] more
[3] makes
[3] higher
[3] scores
[2] particularly
[2] amazing
[2] one
[2] harrysiegel

Top Words in Tweet in G8:
[16] swg
[15] 1d
[15] graph
[15] swgtoken
[15] indicates
[15] huge
[15] accumulation
[15] range
[15] it'll
[15] breaking

Top Words in Tweet in G9:
[15] long
[15] due
[15] finally
[15] supports
[15] open
[15] graph
[15] twitter
[15] cards
[15] asset
[15] means

Top Words in Tweet in G10:
[2] economyinformal
[2] oecd
[2] oecd_social
[2] oecd_stat
[2] chileoecd
[2] eu_commission
[2] jacindaardern
[2] justintrudeau
[2] emmanuelmacron
[2] unhumanrights

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[211] social,graph
[151] social,media
[50] based,format
[45] nfts,social
[45] open,graph
[45] obviously,murder
[45] murder,rate
[45] rate,dreadful
[45] dreadful,thing
[45] thing,find

Top Word Pairs in Tweet in G1:
[38] social,graph
[16] social,media
[8] في,موقع
[5] social,network
[5] graph,network
[5] network,contains
[5] contains,social
[5] network,users
[5] directed,edge
[5] edge,means

Top Word Pairs in Tweet in G2:
[50] based,format
[40] social,graph
[40] graph,needs
[31] tm,power
[25] franky,looks
[25] looks,several
[25] several,molecular
[25] molecular,representations
[25] representations,including
[25] including,string

Top Word Pairs in Tweet in G3:
[42] defi,nfts
[42] nfts,social
[42] social,media
[42] media,blockchain
[42] blockchain,need
[42] need,information
[42] information,portrayed
[42] portrayed,front
[42] front,end
[41] graphprotocol,defi

Top Word Pairs in Tweet in G5:
[45] obviously,murder
[45] murder,rate
[45] rate,dreadful
[45] dreadful,thing
[45] thing,find
[45] find,ways
[45] ways,reduce
[45] reduce,find
[45] find,graph
[44] callin_bull,obviously

Top Word Pairs in Tweet in G6:
[11] graph,data
[10] data,science
[10] graph,based
[10] based,code
[10] code,analysis
[6] #graphdatascience,#datascience
[6] neo4j,live
[6] live,demo
[6] pt,register
[5] science,gds

Top Word Pairs in Tweet in G7:
[3] higher,scores
[2] graph,particularly
[2] particularly,amazing
[2] one,graph
[2] graph,harrysiegel
[2] harrysiegel,tells
[2] tells,less
[2] less,more
[2] more,act
[2] act,desperately

Top Word Pairs in Tweet in G8:
[15] 1d,graph
[15] graph,swgtoken
[15] swgtoken,swg
[15] swg,indicates
[15] indicates,huge
[15] huge,accumulation
[15] accumulation,range
[15] range,it'll
[15] it'll,breaking
[15] breaking,very

Top Word Pairs in Tweet in G9:
[15] long,due
[15] due,finally
[15] finally,supports
[15] supports,open
[15] open,graph
[15] graph,twitter
[15] twitter,cards
[15] cards,asset
[15] asset,means
[14] pool_pm,long

Top Word Pairs in Tweet in G10:
[2] economyinformal,oecd
[2] oecd,oecd_social
[2] oecd_social,oecd_stat
[2] oecd_stat,chileoecd
[2] chileoecd,eu_commission
[2] eu_commission,jacindaardern
[2] jacindaardern,justintrudeau
[2] justintrudeau,emmanuelmacron
[2] emmanuelmacron,unhumanrights
[2] unhumanrights,un_pga

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@graphprotocol
@tdatascience
@callin_bull
@neo4j
@swirgenetwork
@pool_pm
@n4v1111
@hhwu
@cawfree
@thewebconf

Top Mentioned in G1:
@aoyamakawaraban
@pavtalk

Top Mentioned in G2:
@tdatascience
@hhwu
@goodcurlyhead
@weihaohello
@rohithteja15
@dgg32
@anuradhawick
@andrewhong5297
@techideasgen
@mesumrazahemani

Top Mentioned in G3:
@graphprotocol
@cawfree
@alexmexicotte
@theklineventure
@impranavm_
@hashingitoutpod

Top Mentioned in G4:
@everclay1
@battle_bullshit
@joethejoe4
@roboticshoe72
@princesspbbaby
@angryfleas
@infoguru16
@jimlikesbb
@rawkrari
@tanyayoakum

Top Mentioned in G5:
@callin_bull

Top Mentioned in G6:
@neo4j
@graph_aware
@amyhodler

Top Mentioned in G7:
@harrysiegel
@kbandersen
@dleonhardt
@anneapplebaum
@rebeccakkatz
@cherylrofer
@nytimes
@edbott
@lkumar31
@inthenameofsaf1

Top Mentioned in G8:
@swirgenetwork
@n4v1111
@mrjaycrypto
@bitcoinkeith
@stalkerscrypto

Top Mentioned in G9:
@pool_pm

Top Mentioned in G10:
@oecd
@oecd_social
@oecd_stat
@chileoecd
@eu_commission
@jacindaardern
@justintrudeau
@emmanuelmacron
@un
@unhumanrights

Top Tweeters
Top Tweeters in Entire Graph:
@chidambara09
@rosenchild
@chuddles11
@mr_luck07
@moreandagain
@artificialbra1n
@100xcode
@estarianne
@cwharlow
@adekleine

Top Tweeters in G1:
@sundersays
@rejectionking
@neoconmaudit
@ultjinhwan
@burritopatents
@andres4ny
@amritvichar
@offby1
@ugentbiblio
@spiderfoods

Top Tweeters in G2:
@rosenchild
@ml_tweet_bot
@machinelearnflx
@hubbucket
@junjudapi
@edrc30
@hatzbymm
@dolhani
@tiagoooliveira
@dd_nana_

Top Tweeters in G3:
@steffanoferrari
@lost_inchains
@iamchrisani
@dyobs
@defi_png_avax
@crypto_herald
@qntmaxi
@do6wkg7o
@johngea90557473
@almutasemalhaj

Top Tweeters in G4:
@symonsez13
@hrhorchid
@poguemoran
@604raincouver
@neville1776
@billgroner1
@nickdone8
@princesspbbaby
@angryfleas
@fighterth

Top Tweeters in G5:
@estarianne
@cwharlow
@mumbly_joe
@makarov__
@zefirotorna
@otdderamin
@misandryalex
@navinpokala
@ladambell
@krisarmstrong1

Top Tweeters in G6:
@chidambara09
@artificialbra1n
@fabriciosx
@neo4j
@geologistico
@craigaatkinson
@mcolebrook
@ikwattro
@jorgaf
@apectoryinc

Top Tweeters in G7:
@nytimes
@social_seer
@edbott
@cherylrofer
@drericding
@karenvaites
@aslavitt
@harrysiegel
@rebeccakkatz
@gerimonsen1

Top Tweeters in G8:
@evandaescobar
@misterkellz_
@bitcoinkeith
@pasindubro
@etiene_umoren
@ajaygamer2002
@mrjaycrypto
@n4v1111
@shaimaranbir89
@pujienggar90

Top Tweeters in G9:
@vvisenu
@rajapokemon19
@bmore710
@1080lt
@smaugpool
@sushi_yakimandu
@marshallchow
@_babycrypto
@pool_pm
@bajuzki

Top Tweeters in G10:
@un
@eu_commission
@justintrudeau
@unhumanrights
@oecd
@un_pga
@emmanuelmacron
@oecd_social
@jacindaardern
@pol_core


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