graph database, Twitter, 8/3/2021 9:15:56 PM, 259514


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graph database_2021-08-03_07-05-07.xlsx
graph database_2021-08-03_07-05-07.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 03, 2021
Short Description:
graph database via NodeXL https://bit.ly/3ltOvCw
@tigergraphdb
@solutionsreview
@neo4j
@pythonexpertbot
@chidambara09
@nebulagraph
@redislabs
@petehanssens
@bill_pun_
@karanprabhu98

Top hashtags:
#opencypher
#aws
#graph
#database
#neo4j
#mainnet
#testnet
#graphdb

Description:
Description
The graph represents a network of 495 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 03 August 2021 at 14:06 UTC.

The requested start date was Tuesday, 03 August 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, 22-hour, 44-minute period from Tuesday, 20 July 2021 at 01:11 UTC to Monday, 02 August 2021 at 23:55 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 : 495
Unique Edges : 292
Edges With Duplicates : 555
Total Edges : 847
Number of Edge Types : 5
Tweet : 144
Retweet : 234
MentionsInRetweet : 284
Mentions : 144
Replies to : 41
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.0160919540229885
Reciprocated Edge Ratio : 0.0316742081447964
Connected Components : 123
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 121
Maximum Edges in a Connected Component : 267
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.14038
Graph Density : 0.00180754917597023
Modularity : 0.548078
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 495 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 03 August 2021 at 14:06 UTC.

The requested start date was Tuesday, 03 August 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, 22-hour, 44-minute period from Tuesday, 20 July 2021 at 01:11 UTC to Monday, 02 August 2021 at 23:55 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 : graph database
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:
[18] https://aws.amazon.com/blogs/database/announcing-opencypher-for-amazon-neptune-building-better-graph-applications-with-opencypher-and-gremlin-together/
[10] https://aws.amazon.com/blogs/database/introducing-graph-store-protocol-support-for-amazon-neptune/
[8] https://github.com/aws/graph-notebook
[7] https://aws.amazon.com/blogs/database/get-predictions-for-evolving-graph-data-faster-with-amazon-neptune-ml/
[6] https://aws.amazon.com/blogs/database/easier-and-faster-graph-machine-learning-with-amazon-neptune-ml/
[6] https://siliconangle.com/2021/07/28/noetic-cyber-emerges-stealth-security-monitoring-undergirded-graph-database/
[6] https://blogs.sap.com/2021/07/27/database-object-lineage-using-sap-hana-graph/
[5] https://medium.com/@cvtnhpjg/how-we-can-design-a-graph-database-in-sql-way-20eaee79bc28?source=rss------programming-5&utm_source=dlvr.it&utm_medium=twitter
[4] https://towardsdatascience.com/explore-better-materials-using-deep-graph-convolutional-networks-and-bayesian-optimization-144a9b6699fc?source=rss----7f60cf5620c9---4&utm_source=dlvr.it&utm_medium=twitter
[4] https://towardsdatascience.com/what-are-the-most-popular-skills-for-data-science-jobs-ead45f56841?utm_source=dlvr.it&utm_medium=twitter

Top URLs in Tweet in G1:
[2] https://www.tigergraph.com/jaguar-land-rover/
[1] https://www.itnews.com.au/news/ato-embeds-tigergraph-graph-database-to-fight-tax-avoidance-566378?utm_content=174461700&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/tigergraph-benchmark-report-download-0?utm_campaign=2021%20neo4j%20Punch%20in%20the%20Mouth&utm_source=twitter&utm_medium=paidsocial
[1] https://www.tigergraph.com/2020/04/07/using-a-graph-database-for-big-data-entity-resolution/?utm_content=173700384&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/gartner-graph-market-guide?utm_campaign=2021%20Gartner%20Research%3A%20Market%20Guide%20to%20Graph%20Database%20Management%20Solutions&utm_content=173844738&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/gartner-graph-market-guide?utm_campaign=2021%20Gartner%20Research%3A%20Market%20Guide%20to%20Graph%20Database%20Management%20Solutions&utm_content=174461452&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://lnkd.in/eUVgptW?utm_content=174618798&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/the-power-of-tigergraph?utm_content=174924808&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] http://info.tigergraph.com/healthcare?utm_campaign=2019%20Content%3A%20TigerGraph%20White%20Paper&utm_content=174952516&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/dbinsights-white-paper-0?utm_campaign=2020%20Paid%20Twitter-%20Tony%20Baer%20White%20Paper&utm_source=twitter&utm_medium=paidsocial

Top URLs in Tweet in G2:
[3] https://aws.amazon.com/blogs/database/announcing-opencypher-for-amazon-neptune-building-better-graph-applications-with-opencypher-and-gremlin-together/
[3] https://aws.amazon.com/blogs/database/introducing-graph-store-protocol-support-for-amazon-neptune/
[3] https://aws.amazon.com/blogs/database/get-predictions-for-evolving-graph-data-faster-with-amazon-neptune-ml/
[2] https://www.freelancer.com/projects/nodejs/Admin-Panel-Firebase-through-nodejs.html
[2] https://h-savran.blogspot.com/2020/03/connecting-to-cosmos-db-gremlin-api.html
[2] https://manometcurrent.com/global-graph-database-market-swot-analysis-key-indicators-forecast-2027-oracle-international-business-machines-corporation/?utm_source=dlvr.it&utm_medium=twitter
[2] http://dlvr.it/S4W26q
[2] https://www.sesin.at/
[2] https://www.sesin.at/2021/07/31/neo4j-graph-database-4-2-4-3-transaction-privilege-escalation/
[1] https://twinybots.ch/

Top URLs in Tweet in G3:
[3] https://disruptivetechasean.com/big_news/how-neo4j-is-leading-the-graph-revolution-in-apac-following-the-largest-investment-in-database-history/
[1] https://twitter.com/hillelogram/status/1422298442282541063
[1] https://www.graphable.ai/blog/cloud-graph-database-apps-relay-dev/
[1] https://neo4j.com/developer-blog/behind-the-scenes-worlds-biggest-graph-database/?ref=social-blog
[1] https://neo4j.com/whitepapers/top-ten-use-cases-graph-database-technology/?ref=social-camp
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3DREVkXVxvMQE&q=EgS4SO-bGL6apYgGIhDUGwg_kWLSI6dJWETP26wYMgFy
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3DkeZURbOo4-M&q=EgS4SO-bGL6apYgGIhAKDknVrvF7BmZTIde-T_rrMgFy
[1] https://twitter.com/neo4j/status/1314024715585871873
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3DREVkXVxvMQE&q=EgS4SO-bGLyapYgGIhDn7rKJTdPviVG_Bx9Lfx5jMgFy
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3DkeZURbOo4-M&q=EgS4SO-bGLyapYgGIhDLyWcvBpzawyFGOl2JnYY-MgFy

Top URLs in Tweet in G4:
[8] https://github.com/aws/graph-notebook
[7] https://aws.amazon.com/blogs/database/announcing-opencypher-for-amazon-neptune-building-better-graph-applications-with-opencypher-and-gremlin-together/
[3] https://aws.amazon.com/blogs/database/introducing-graph-store-protocol-support-for-amazon-neptune/
[1] https://aws.amazon.com/blogs/database/get-predictions-for-evolving-graph-data-faster-with-amazon-neptune-ml/
[1] https://aws.amazon.com/blogs/database/easier-and-faster-graph-machine-learning-with-amazon-neptune-ml/
[1] https://aws.amazon.com/about-aws/whats-new/2021/07/amazon-neptune-ml-generally-available-support-edge-predictions-automation-and-more/
[1] https://aws.amazon.com/about-aws/whats-new/2021/07/amazon-neptune-announces-support-sparql-1-1-graph-store-http-protocol/

Top URLs in Tweet in G5:
[2] https://github.com/OriginTrail/ot-node/releases/tag/v5.1.0
[2] https://www.youtube.com/watch?v=OLCyZhvNgT4&feature=youtu.be


Top URLs in Tweet in G8:
[1] https://multicoin.capital/2021/07/30/scaling-reads-and-writes/

Top URLs in Tweet in G9:
[1] https://solutionsreview.com/data-management/the-best-graph-databases-to-consider-in-2020/
[1] https://solutionsreview.com/data-management/key-takeaways-the-2021-gartner-market-guide-for-graph-database-management-solutions/

Top Domains
Top Domains in Tweet in Entire Graph:
[51] amazon.com
[19] github.com
[11] tigergraph.com
[10] towardsdatascience.com
[9] google.com
[8] medium.com
[8] dy.si
[7] siliconangle.com
[6] twitter.com
[6] linkedin.com

Top Domains in Tweet in G1:
[9] tigergraph.com
[1] com.au
[1] lnkd.in
[1] theregister.com
[1] informationweek.com
[1] illinoisnewstoday.com
[1] twitter.com

Top Domains in Tweet in G2:
[17] amazon.com
[4] linkedin.com
[4] sesin.at
[3] medium.com
[3] towardsdatascience.com
[2] freelancer.com
[2] blogspot.com
[2] manometcurrent.com
[2] dgraph.io
[2] dlvr.it

Top Domains in Tweet in G3:
[8] google.com
[3] disruptivetechasean.com
[2] twitter.com
[2] neo4j.com
[1] graphable.ai
[1] github.com
[1] medium.com

Top Domains in Tweet in G4:
[14] amazon.com
[8] github.com

Top Domains in Tweet in G5:
[2] github.com
[2] youtube.com

Top Domains in Tweet in G8:
[1] multicoin.capital

Top Domains in Tweet in G9:
[2] solutionsreview.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[31] opencypher
[21] aws
[21] graph
[17] database
[16] neo4j
[13] mainnet
[11] testnet
[11] graphdb
[11] bigdata
[11] graphdatabase



Top Hashtags in Tweet in G1:
[8] graphanalytics
[8] graphdb
[7] bigdata
[6] ai
[5] innovation
[5] ml
[5] bi
[4] analytics
[3] graphdatabase
[3] neo4j

Top Hashtags in Tweet in G2:
[5] aws
[3] awsdata
[2] education
[2] azure
[2] cosmosdb
[2] itpfed
[2] neo4j
[2] ai
[2] ml
[2] graphdatabase

Top Hashtags in Tweet in G3:
[6] neo4j
[6] graph
[5] humeactions
[5] apac
[4] graphdatabases
[4] panamapapers
[3] seriesf
[3] industryleader
[3] investment
[1] appdev

Top Hashtags in Tweet in G4:
[26] opencypher
[3] graphdb
[1] w3c
[1] amazonneptune
[1] rdf
[1] graphdatabases

Top Hashtags in Tweet in G5:
[13] mainnet
[11] testnet
[3] origintrail
[3] ethereum
[3] dyor
[1] trac
[1] traceon

Top Hashtags in Tweet in G6:
[1] proseobject

Top Hashtags in Tweet in G9:
[1] datascience
[1] datasets
[1] data
[1] database
[1] management

Top Words
Top Words in Tweet in Entire Graph:
[393] graph
[335] database
[78] learn
[70] amazon
[69] data
[66] tigergraph
[65] neptune
[61] tigergraphdb
[60] use
[58] neo4j

Top Words in Tweet in G1:
[72] graph
[68] database
[64] tigergraph
[58] tigergraphdb
[57] learn
[50] jaguar
[50] land
[44] rover's
[44] trials
[44] tribulations

Top Words in Tweet in G2:
[69] database
[68] graph
[15] aws
[15] amazon
[14] data
[13] neo4j
[10] blog
[10] neptune
[8] using
[6] more

Top Words in Tweet in G3:
[34] graph
[28] neo4j
[22] database
[12] data
[7] leading
[7] databases
[6] #neo4j
[6] force
[6] read
[6] neo4j's

Top Words in Tweet in G4:
[31] neptune
[28] amazon
[26] #opencypher
[24] graph
[21] announcing
[19] awscloud
[18] together
[17] opencypher
[15] use
[14] customers

Top Words in Tweet in G5:
[26] release
[24] update
[24] v5
[24] released
[24] odn
[24] adds
[24] api
[24] features
[24] improves
[24] replication

Top Words in Tweet in G6:
[3] use
[3] format
[2] afdudley0
[2] auryn_macmillan
[2] nicksdjohnson
[2] graph
[2] database

Top Words in Tweet in G7:
[16] time
[16] enjoy
[16] graph
[16] database
[15] logseq

Top Words in Tweet in G8:
[13] reads
[12] database
[12] applications
[12] ratio
[12] writes
[12] between
[12] 100
[12] 10
[12] 000
[12] multicoincap

Top Words in Tweet in G9:
[5] graph
[3] redislabs
[3] using
[3] database
[2] watching
[2] guyroyce
[2] talk
[2] redis
[2] thatconference
[2] one

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[221] graph,database
[58] amazon,neptune
[54] tigergraph,graph
[51] jaguar,land
[44] learn,jaguar
[44] land,rover's
[44] rover's,trials
[44] trials,tribulations
[44] tribulations,path
[44] path,tigergraph

Top Word Pairs in Tweet in G1:
[68] graph,database
[54] tigergraph,graph
[50] jaguar,land
[44] learn,jaguar
[44] land,rover's
[44] rover's,trials
[44] trials,tribulations
[44] tribulations,path
[44] path,tigergraph
[44] database,scale

Top Word Pairs in Tweet in G2:
[40] graph,database
[10] aws,database
[10] database,blog
[9] neo4j,graph
[8] amazon,neptune
[5] neptune,ml
[4] admin,panel
[4] panel,firebase
[4] database,market
[4] manomet,current

Top Word Pairs in Tweet in G3:
[17] graph,database
[8] neo4j,graph
[6] neo4j's,nik
[6] nik,vora
[6] vora,_nikunjvora
[6] _nikunjvora,shares
[6] shares,neo4j
[6] neo4j,leading
[6] following,largest
[5] read,data

Top Word Pairs in Tweet in G4:
[28] amazon,neptune
[14] neptune,awscloud
[14] awscloud,customers
[14] customers,use
[13] announcing,#opencypher
[13] #opencypher,amazon
[13] use,#opencypher
[13] #opencypher,apachetinkerpop
[13] apachetinkerpop,queries
[13] queries,together

Top Word Pairs in Tweet in G5:
[24] release,update
[24] update,v5
[24] v5,released
[24] released,odn
[24] adds,api
[24] api,features
[24] features,improves
[24] improves,replication
[24] replication,process
[24] process,part

Top Word Pairs in Tweet in G7:
[16] time,enjoy
[16] enjoy,graph
[16] graph,database
[15] logseq,time

Top Word Pairs in Tweet in G8:
[12] database,applications
[12] applications,ratio
[12] ratio,reads
[12] reads,writes
[12] writes,between
[12] between,100
[12] 100,10
[12] 10,000
[12] 000,multicoincap
[12] multicoincap,dives

Top Word Pairs in Tweet in G9:
[3] graph,database
[2] watching,guyroyce
[2] guyroyce,redislabs
[2] redislabs,talk
[2] talk,using
[2] using,redis
[2] redis,graph
[2] database,thatconference

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@tigergraphdb
@origin_trail
@neo4j
@awscloud
@logseq
@sapdevs
@apachetinkerpop
@multicoincap
@b2ebs
@graphprotocol

Top Mentioned in G1:
@tigergraphdb
@tonybaer
@theregister
@itnews_au
@informationweek
@paulreevesagain

Top Mentioned in G2:
@itpfed

Top Mentioned in G3:
@neo4j
@_nikunjvora
@some_wise
@graph_aware
@postpcera
@roamresearch
@graphable1
@graphaware
@vivekshah1801
@pulumicorp

Top Mentioned in G4:
@awscloud
@apachetinkerpop
@b2ebs
@gfxman
@awsblogs
@jordicabot
@bechbd

Top Mentioned in G5:
@origin_trail
@branarakic
@cryptoverlordx
@ivanontech

Top Mentioned in G6:
@afdudley0
@nicksdjohnson
@tjayrush
@auryn_macmillan
@mzargham
@abcoathup
@lex_node
@rariblecom
@stuartsmolen
@chriscatoya

Top Mentioned in G7:
@logseq

Top Mentioned in G8:
@multicoincap
@graphprotocol

Top Mentioned in G9:
@redislabs
@guyroyce
@thatconference
@bsstahl
@bigdata_review
@camsemantics
@datastax
@marklogic
@neo4j
@orientdb

Top Mentioned in G10:
@transformio
@getdbt
@dagsterio
@airbytehq
@meltanodata
@getcensus
@hightouchdata
@modeanalytics
@continual_ai
@montecarlodata

Top Tweeters
Top Tweeters in Entire Graph:
@chidambara09
@asher_wolf
@pickooo
@discovertech3
@coder_487
@ipythonistabot
@calcaware
@innocent_zero
@uhiiman
@nytimes

Top Tweeters in G1:
@pickooo
@calcaware
@vivmilano
@sharmars003
@zibrailmohamma3
@theregister
@thomashilbig2
@snehalkadam1118
@izzatzakwan
@akshayv30742575

Top Tweeters in G2:
@suriyasubraman
@9h0hm
@threatmeter
@www_sesin_at
@eagerbeavertech
@wolfgangsesin
@itpfed
@abap4sap
@savranweb
@cvenew

Top Tweeters in G3:
@dccc_phd
@skpkaruna
@szetoinsitu
@zigmansara
@neo4j
@geologistico
@nutseba
@travisci
@superjohnrtp
@ezhillang

Top Tweeters in G4:
@tiagoooliveira
@rohit_bmw
@jordicabot
@awscloud
@aileengemma
@gem1129
@ikwattro
@pyfundotio
@awsblogs
@gfxman

Top Tweeters in G5:
@hsianghui
@rajkumarbas11
@cryptoverlordx
@ivanontech
@woisau1
@pucko_simon
@drevziga
@chillzoneint
@mucke121
@origin_trail

Top Tweeters in G6:
@iang_fc
@nicksdjohnson
@lefterisjp
@afdudley0
@abcoathup
@lex_node
@danlinna
@commonaccord
@dennisonbertram
@auryn_macmillan

Top Tweeters in G7:
@innocent_zero
@_akamig
@siuying
@_ksoda
@metasj
@realcongyang
@gilbertwat
@byds0
@andrewshell
@thesuperching

Top Tweeters in G8:
@lost_inchains
@do6wkg7o
@darrellclark2_
@kovrusl
@graphprotocol
@n_son2
@lorenafabrisok
@craigburel
@gum672
@indexer_payne

Top Tweeters in G9:
@gartner_inc
@solutionsreview
@marklogic
@redislabs
@camsemantics
@datastax
@bigdata_review
@bsstahl
@thatconference
@orientdb

Top Tweeters in G10:
@modeanalytics
@airbytehq
@mquinsland
@meltanodata
@getdbt
@valentinumbach
@montecarlodata
@getcensus
@hightouchdata
@dagsterio


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