graph database, Twitter, 9/28/2021 2:32:20 PM, 263103


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graph database_2021-09-28_07-28-01.xlsx
graph database_2021-09-28_07-28-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 28, 2021
Short Description:
graph database via NodeXL https://bit.ly/2ZEeu17
@neo4j
@tigergraphdb
@perpetualmaniac
@bigdataconf
@datasciencebot_
@freecodecamp
@sbreddy2021
@shinyzhu
@youtube
@guyzaantey

Top hashtags:
#database
#analytics
#datascience
#graph
#machinelearning
#neo4j
#deeplearning

Description:
Description
The graph represents a network of 523 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, 28 September 2021 at 14:28 UTC.

The requested start date was Tuesday, 28 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, 22-hour, 23-minute period from Tuesday, 14 September 2021 at 00:36 UTC to Monday, 27 September 2021 at 23:00 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 : 523
Unique Edges : 254
Edges With Duplicates : 630
Total Edges : 884
Number of Edge Types : 5
Retweet : 279
MentionsInRetweet : 326
Mentions : 117
Replies to : 58
Tweet : 104
Self-Loops : 104
Reciprocated Vertex Pair Ratio : 0.0130718954248366
Reciprocated Edge Ratio : 0.0258064516129032
Connected Components : 119
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 95
Maximum Edges in a Connected Component : 224
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.957121
Graph Density : 0.00170325926902705
Modularity : 0.535977
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 523 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, 28 September 2021 at 14:28 UTC.

The requested start date was Tuesday, 28 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, 22-hour, 23-minute period from Tuesday, 14 September 2021 at 00:36 UTC to Monday, 27 September 2021 at 23:00 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:
[15] http://www.globalbigdataconference.com/news/146914/the-next-wave-of-cognitive-analytics-graph-aware-machine-learning.html
[7] https://youtu.be/9VlENe-jpig
[7] https://gksriharsha.medium.com/facial-recognition-and-configuration-wrapping-up-7-142c1a82843?source=rss------python-5&utm_source=dlvr.it&utm_medium=twitter
[6] https://h-savran.blogspot.com/2017/05/introduction-to-graph-tables-in-sql.html
[4] https://www.tigergraph.com/tigergraph-db/
[3] https://www.youtube.com/watch?v=zG6CHYCx6ag&feature=youtu.be

[3] https://github.com/cayleygraph/cayley
[3] https://info.cambridgesemantics.com/graph-database-management-solution-market-guide-gartner?utm_campaign=Gartner
[3] Database
[3] Mgmt

Top URLs in Tweet in G2:
[4] https://www.tigergraph.com/tigergraph-db/
[3] https://info.tigergraph.com/gartner-graph-market-guide?utm_campaign=2021%20Gartner%20Research%3A%20Market%20Guide%20to%20Graph%20Database%20Management%20Solutions&utm_content=180494949&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[2] https://www.itworldcanada.com/blog/how-to-select-a-graph-database/435451?utm_content=147218516&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[2] https://info.tigergraph.com/ebook-4-1-0-0?utm_campaign=2020%20Paid%20Twitter-%20eBook%20N%20America&utm_source=twitter&utm_medium=paidsocial
[2] https://www.tigergraph.com/jaguar-land-rover/
[2] https://info.tigergraph.com/the-power-of-tigergraph?utm_content=180446843&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[2] https://www.zdnet.com/article/graph-databases-must-meet-developers-and-business-analysts-on-their-own-turf/?utm_content=179982464&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[2] https://www.pscp.tv/w/c_-wvXR3LTM1MjAzMzE5fDFZcEtrekJNbXpOeGr9BEIswr3N7VhPoY6O1lGVtjslEAx8AZzlwuMyo6mU6A==
[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://app.swapcard.com/event/ai4-2021-finance-summit/planning/UGxhbm5pbmdfMzU3MTQ3?utm_content=156294175&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786

Top URLs in Tweet in G3:
[7] https://youtu.be/9VlENe-jpig
[3] https://www.codementor.io/@aminmeyghani/gundb-a-graph-database-in-javascript-oxp2yhss4
[2] https://neo4j.com/event/neo4j-training-series-aura/
[1] https://okt.to/flkhY7
[1] https://okt.to/aB5cPN
[1] https://okt.to/WPvodH
[1] https://www.linkedin.com/slink?code=gXUhRGa4
[1] https://www.youtube.com/watch?v=oO4ZGdq5YP0&feature=youtu.be

[1] https://www.freecodecamp.org/news/graph-database-vs-relational-database/
[1] https://attendee.gotowebinar.com/register/3403350644548265742?utm_campaign=ODSC%20APAC&utm_content=178840424&utm_medium=social&utm_source=twitter&hss_channel=tw-3018841323

Top URLs in Tweet in G4:
[2] https://analyticsindiamag.com/graph-data-science/https:/analyticsindiamag.com/graph-data-science/
[1] https://www.freecodecamp.org/news/graph-database-vs-relational-database/?utm_content=179462680&utm_medium=social&utm_source=twitter&hss_channel=tw-3285745698
[1] http://mundoenpositivo.com/graph-database-neo4j-para-compartir-de-manera-justa-especialista-ideas-en-idate-2014/
[1] https://livesocial.seismic.com/t7I0i9
[1] http://aosabook.org/en/500L/dagoba-an-in-memory-graph-database.html
[1] https://www.freecodecamp.org/news/graph-database-vs-relational-database/?fbclid=IwAR2G6J8Wwo7rBmaMCD_jMvStrPJxFmfEj9yMB6e1_sQNBCE5SEopdQZDMXA
[1] https://mark-burgess-oslo-mb.medium.com/universal-data-analytics-as-semantic-spacetime-e5a296a74c48
[1] https://theoryof.predictable.software/articles/some-requirements-for-a-universal-asset-graph/
[1] https://artillry.co/artillry-intelligence/spatial-computing-2020-lessons-2021-outlook/?utm_source=twitter&utm_medium=social&utm_campaign=ReviveOldPost
[1] https://www.tomsawyer.com/graph-database-browser?utm_content=bufferb7254&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Top URLs in Tweet in G5:
[15] http://www.globalbigdataconference.com/news/146914/the-next-wave-of-cognitive-analytics-graph-aware-machine-learning.html
[7] https://gksriharsha.medium.com/facial-recognition-and-configuration-wrapping-up-7-142c1a82843?source=rss------python-5&utm_source=dlvr.it&utm_medium=twitter
[3] https://aws.amazon.com/blogs/machine-learning/build-a-cognitive-search-and-a-health-knowledge-graph-using-amazon-healthlake-amazon-kendra-and-amazon-neptune/
[2] https://ethical.institute/mle/145.html

Top URLs in Tweet in G6:
[3] https://info.cambridgesemantics.com/graph-database-management-solution-market-guide-gartner?utm_campaign=Gartner
[3] Database
[3] Mgmt
[3] Market
[2] Guide&utm_content=180595727&utm_medium=social&utm_source=twitter&hss_channel=tw-61001779
[2] https://towardsdatascience.com/graph-database-graphql-and-machine-learning-for-carbohydrate-active-enzymes-dba8500b45cf?source=social.tw
[2] https://neo4j.com/news/next-wave-disruption-graph-based-machine-learning/?utm_campaign=crowdfire&utm_content=crowdfire&utm_medium=social&utm_source=twitter
[1] Guide&utm_content=180596616&utm_medium=social&utm_source=twitter&hss_channel=tw-61001779
[1] https://graphorum2019.dataversity.net/?utm_content=103208064&utm_medium=social&utm_source=twitter&hss_channel=tw-61001779
[1] https://www.biorxiv.org/content/10.1101/765305v1

Top URLs in Tweet in G8:
[1] https://medium.com/neo4j/java-17-explore-the-newly-released-java-version-in-a-graph-database-14fd11d4f4
[1] https://medium.com/@mesirii/graph-analyse-wahl-o-mat-bundestagswahl-2021-41e9676d3ce1

Top URLs in Tweet in G10:
[2] https://venturebeat.com/2021/09/03/what-are-graph-database-query-languages/
[2] https://venturebeat.com/?p=2719280
[1] https://venturebeat.com/2021/09/03/what-are-graph-database-query-languages/?utm_source=bti-social-media&utm_medium=social&utm_campaign=bti-social-2021-09-03

Top Domains
Top Domains in Tweet in Entire Graph:
[15] globalbigdataconference.com
[14] tigergraph.com
[10] medium.com
[8] youtube.com
[8] codementor.io
[7] twitter.com
[7] github.com
[7] neo4j.com
[7] youtu.be
[6] linkedin.com

Top Domains in Tweet in G2:
[14] tigergraph.com
[2] itworldcanada.com
[2] zdnet.com
[2] pscp.tv
[1] swapcard.com
[1] theregister.com
[1] linkedin.com

Top Domains in Tweet in G3:
[7] youtu.be
[3] okt.to
[3] codementor.io
[2] neo4j.com
[1] linkedin.com
[1] youtube.com
[1] freecodecamp.org
[1] gotowebinar.com

Top Domains in Tweet in G4:
[2] freecodecamp.org
[2] tomsawyer.com
[2] analyticsindiamag.com
[2] google.com
[2] leeent.net
[1] mundoenpositivo.com
[1] seismic.com
[1] aosabook.org
[1] medium.com
[1] predictable.software

Top Domains in Tweet in G5:
[15] globalbigdataconference.com
[7] medium.com
[3] amazon.com
[2] ethical.institute

Top Domains in Tweet in G6:
[3] cambridgesemantics.com
[3] towardsdatascience.com
[3] linkedin.com
[2] neo4j.com
[1] dataversity.net
[1] biorxiv.org
[1] techcrunch.com

Top Domains in Tweet in G8:
[2] medium.com

Top Domains in Tweet in G10:
[5] venturebeat.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[28] database
[23] analytics
[21] datascience
[20] graph
[20] machinelearning
[16] neo4j
[15] deeplearning
[13] graphdatabase
[11] python
[10] developers



Top Hashtags in Tweet in G2:
[9] graphdb
[9] graphanalytics
[7] analytics
[6] bigdata
[6] innovation
[4] ml
[3] graphdatabase
[3] neo4j
[3] ai
[3] bi

Top Hashtags in Tweet in G3:
[6] twin4j
[4] neo4j
[3] javascript
[2] datascience
[2] graphdatabase
[1] antibiotic
[1] card
[1] cypher
[1] java17
[1] java

Top Hashtags in Tweet in G4:
[3] graphdatabase
[3] bigdata
[2] graph
[2] dataviz
[2] datascience
[2] cdo
[2] cto
[1] graphdatabases
[1] datamodeling
[1] datamanagement

Top Hashtags in Tweet in G5:
[18] machinelearning
[15] analytics
[15] datascience
[15] deeplearning
[9] python
[8] database
[7] configuration
[7] graph
[3] knowledgegraph
[3] amazonneptune

Top Hashtags in Tweet in G6:
[3] knowledgegraph
[2] graphorum
[1] digitaltransformation
[1] datafabric
[1] medtech
[1] cito
[1] biotech
[1] dataengineering
[1] database
[1] machinelearning

Top Hashtags in Tweet in G8:
[6] neo4j
[1] graph
[1] database
[1] rdbms

Top Words
Top Words in Tweet in Entire Graph:
[465] graph
[393] database
[82] deaths
[80] tigergraph
[77] learn
[77] tigergraphdb
[77] vaers
[75] rate
[75] going
[75] long

Top Words in Tweet in G1:
[75] rate
[74] vaers
[74] database
[74] registered
[74] deaths
[74] fall
[74] keeps
[74] going
[74] question
[74] long

Top Words in Tweet in G2:
[89] graph
[85] database
[77] tigergraph
[76] tigergraphdb
[64] jaguar
[64] land
[61] learn
[60] scale
[55] rover's
[55] trials

Top Words in Tweet in G3:
[55] graph
[45] databases
[43] think
[37] database
[32] neo4j
[24] relational
[22] freecodecamp
[21] type
[21] growing
[20] populari

Top Words in Tweet in G4:
[59] graph
[54] database
[18] data
[7] service
[5] knowledge
[5] easy
[5] need
[5] store
[5] query
[5] graphql

Top Words in Tweet in G5:
[18] graph
[18] #machinelearning
[15] next
[15] wave
[15] cognitive
[15] #analytics
[15] aware
[15] #datascience
[15] #deeplearning
[14] bigdataconf

Top Words in Tweet in G6:
[26] graph
[17] database
[9] machine
[9] learning
[6] databases
[5] find
[5] neo4j
[5] more
[4] join
[4] help

Top Words in Tweet in G7:
[3] data
[2] different
[2] argentina

Top Words in Tweet in G8:
[8] graph
[7] mesirii
[7] java
[6] #neo4j
[5] soo
[5] cool
[5] jmhreif
[5] exploring
[5] differences
[5] follow

Top Words in Tweet in G10:
[8] w3c
[8] graph
[8] database
[8] query
[8] languages
[8] venturebeat
[8] support
[5] rdf
[5] model
[4] news

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[223] graph,database
[76] vaers,database
[74] database,registered
[74] registered,deaths
[74] deaths,rate
[74] rate,fall
[74] fall,keeps
[74] keeps,going
[74] going,question
[74] question,long

Top Word Pairs in Tweet in G1:
[74] vaers,database
[74] database,registered
[74] registered,deaths
[74] deaths,rate
[74] rate,fall
[74] fall,keeps
[74] keeps,going
[74] going,question
[74] question,long
[74] long,graph

Top Word Pairs in Tweet in G2:
[83] graph,database
[64] jaguar,land
[58] tigergraph,graph
[55] learn,jaguar
[55] land,rover's
[55] rover's,trials
[55] trials,tribulations
[55] tribulations,path
[55] path,tigergraph
[55] database,scale

Top Word Pairs in Tweet in G3:
[23] graph,database
[22] graph,databases
[21] think,databases
[21] databases,think
[21] think,relational
[21] relational,type
[21] type,graph
[21] databases,growing
[20] freecodecamp,think
[20] growing,populari

Top Word Pairs in Tweet in G4:
[33] graph,database
[5] database,market
[4] knowledge,graph
[4] purpose,built
[4] built,high
[4] high,performance
[4] performance,graph
[4] database,service
[3] relational,database
[3] big,data

Top Word Pairs in Tweet in G5:
[15] next,wave
[15] wave,cognitive
[15] cognitive,#analytics
[15] #analytics,graph
[15] graph,aware
[15] aware,#machinelearning
[15] #machinelearning,#datascience
[15] #datascience,#deeplearning
[14] bigdataconf,next
[14] #deeplearning,#ar

Top Word Pairs in Tweet in G6:
[15] graph,database
[9] machine,learning
[4] neo4j,graph
[4] explore,databases
[4] databases,more
[4] more,visual
[4] visual,interactive
[4] interactive,way
[4] way,gain
[4] gain,better

Top Word Pairs in Tweet in G8:
[5] soo,cool
[5] cool,jmhreif
[5] jmhreif,exploring
[5] exploring,java
[5] java,differences
[5] differences,graph
[5] graph,#neo4j
[5] #neo4j,follow
[5] follow,along
[5] along,free

Top Word Pairs in Tweet in G10:
[8] graph,database
[8] database,query
[8] query,languages
[6] languages,venturebeat
[5] rdf,model
[4] w3c,news
[4] news,graph
[4] venturebeat,support
[4] support,rdf
[4] model,others

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@tigergraphdb
@perpetualmaniac
@neo4j
@freecodecamp
@bigdataconf
@jmhreif
@leetcode
@venturebeat
@graphileon
@mesirii

Top Mentioned in G1:
@perpetualmaniac

Top Mentioned in G2:
@tigergraphdb
@itworldca
@theregister
@zdnet
@evankirstel
@ai4conferences

Top Mentioned in G3:
@neo4j
@freecodecamp
@graphileon
@jmhreif
@ellazal
@kkeshavjee
@shinyzhu
@yworks
@ag_grid
@jqwidgets

Top Mentioned in G5:
@bigdataconf
@akbarth3great
@awscloud
@ethicalml
@riz_emba
@axsaucedo
@neo4j
@jathanism
@laurenancona
@hl7

Top Mentioned in G6:
@tdatascience
@gartner
@camsemantics
@dgg32
@virineyamr
@ubunta
@medtechdirectry
@davidkoslicki
@tigergraphdb
@ai4conferences

Top Mentioned in G7:
@sandia_1985
@amicocolorido
@alwayslearni
@girardotmarc
@tb_tb_tb_tb_tb
@nickhudsonct
@fatemperor
@pandata19
@pedrofacon
@vanguchtsteven

Top Mentioned in G8:
@jmhreif
@java
@mesirii
@marcandsweep

Top Mentioned in G9:
@roja1866
@mapihema
@emerge_obs
@todomejorqenada
@borja_gonzalez
@dt3sc0
@frayjosepho
@eslamananadefjl

Top Mentioned in G10:
@venturebeat
@w3c

Top Tweeters
Top Tweeters in Entire Graph:
@chidambara09
@5fec93919a544d3
@evankirstel
@rosenchild
@ipythonistabot
@morolswediu
@tess_blue815
@exbulletinuk
@godfrey_g_
@cece_23spalding

Top Tweeters in G1:
@raeganlady
@ziffykat
@baizuobu
@simon32445788
@jgzgurl24
@metcalfemegan
@matthewstover7
@kerjacerdas
@lisalovestrumps
@fj3isback

Top Tweeters in G2:
@chidambara09
@5fec93919a544d3
@evankirstel
@godfrey_g_
@vishnus47793080
@sharmars003
@sharu_das
@zdnet
@4c7f21ac5bb74b0
@truptis05939191

Top Tweeters in G3:
@javascriptflx
@mg92__2
@collabrius
@levelsio
@odsc
@ali19baba
@neo4j
@blackhatbot1
@kevinctofel
@praveensinghv

Top Tweeters in G4:
@exbulletinuk
@suriyasubraman
@call_user_func
@rehownet2
@tntmoline2011
@howtopam
@pacofigo
@mstine
@keefmoon
@databaseshare

Top Tweeters in G5:
@ipythonistabot
@serverlessfan
@pythonexpertbot
@akbarth3great
@getmazak
@blkhwk0ps
@ztsecure
@agent_guzman
@codewithtwitchi
@developerbot_v1

Top Tweeters in G6:
@rosenchild
@tess_blue815
@tdatascience
@virineyamr
@nsashi
@piotrkrosniak
@camsemantics
@medtechdirectry
@ubunta
@gartner

Top Tweeters in G7:
@fatemperor
@johnbeaudoinsr
@federicolois
@alwayslearni
@nickhudsonct
@tb_tb_tb_tb_tb
@amicocolorido
@lorenzoridolfi
@girardotmarc
@pedrofacon

Top Tweeters in G8:
@rotnroll666
@corneil
@java
@mesirii
@kirkbushell
@persiacai
@nrchtct
@jmhreif
@marcandsweep
@jschaafcgn

Top Tweeters in G9:
@todomejorqenada
@frayjosepho
@avinute
@dt3sc0
@mapihema
@eslamananadefjl
@emerge_obs
@borja_gonzalez
@imgweb_es
@roja1866

Top Tweeters in G10:
@venturebeat
@cpuprogramme
@w3c
@trustinsights
@karima_rafes
@carlos_f_enguix
@atomgraphhq
@sefikavarlioglu


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