graph database, Twitter, 9/15/2020 10:22:49 PM, 235209


FAQ | Problem?

graph database_2020-09-15_07-20-17.xlsx
graph database_2020-09-15_07-20-17.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 15, 2020
Short Description:
graph database via NodeXL https://bit.ly/3klEYto
@gp_pulipaka
@tdatascience
@neo4j
@nebulagraph
@rosenchild
@duckyd07
@learn__together
@hubofml
@codegnuts
@thecuriousluke

Top hashtags:
#machinelearning
#datascience
#bigdata
#analytics
#database
#iot
#ai
#python
#iiot

Description:
Description
The graph represents a network of 618 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, 15 September 2020 at 14:21 UTC.

The requested start date was Tuesday, 15 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, 18-hour, 52-minute period from Tuesday, 01 September 2020 at 00:11 UTC to Monday, 14 September 2020 at 19:03 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 : 618
Unique Edges : 444
Edges With Duplicates : 788
Total Edges : 1232
Number of Edge Types : 5
Retweet : 304
MentionsInRetweet : 426
Tweet : 186
Replies to : 86
Mentions : 230
Self-Loops : 189
Reciprocated Vertex Pair Ratio : 0.0278207109737249
Reciprocated Edge Ratio : 0.0541353383458647
Connected Components : 138
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 311
Maximum Edges in a Connected Component : 848
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.193469
Graph Density : 0.00174400612631325
Modularity : 0.529154
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 618 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, 15 September 2020 at 14:21 UTC.

The requested start date was Tuesday, 15 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, 18-hour, 52-minute period from Tuesday, 01 September 2020 at 00:11 UTC to Monday, 14 September 2020 at 19:03 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:
[22] https://nebula-graph.io/
[14] https://aws.amazon.com/blogs/opensource/dgraph-on-aws-setting-up-a-horizontally-scalable-graph-database/
[12] http://www.datasciencecentral.com/profiles/blogs/data-modelling-topologies-of-a-graph-database
[9] https://www.youtube.com/watch?v=eQQ4r2PK-kM

[7] https://aws.amazon.com/blogs/opensource/dgraph-on-aws-setting-up-a-horizontally-scalable-graph-database/?sc_channel=sm&sc_campaign=Open_Source&sc_publisher=TWITTER&sc_country=Open+Source&sc_geo=GLOBAL&sc_outcome=awareness&trk=open_source_TWITTER&linkId=98598171
[6] https://nebula-graph.io/posts/batch-data-importing-to-nebula-graph-via-spark-writer/
[5] https://aws.amazon.com/blogs/database/using-collaborative-filtering-on-yelp-data-to-build-a-recommendation-system-in-amazon-neptune/
[5] 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
[4] https://www.forbes.com/sites/craigsmith/2020/08/31/your-life-is-a-graph-look-at-it-that-way/
[4] https://www.zdnet.com/article/graph-machine-learning-hype-and-beyond-arangodb-open-source-multi-model-database-releases-version-3-7/

Top URLs in Tweet in G1:
[2] https://www.youtube.com/watch?v=W2Z7fbCLSTw

[2] https://www.rswebsols.com/tutorials/programming/graph-database-future-technologies
[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://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
[1] https://towardsdatascience.com/how-to-build-a-recommendation-system-in-a-graph-database-using-a-latent-factor-model-fa2d142f874
[1] https://www.youtube.com/watch?v=CHbl_tHtr3o&feature=youtu.be&t=4504

[1] https://twitter.com/pospigos/status/1230466577046237184
[1] https://dormoshe.io/trending-news/how-to-build-a-recommendation-system-in-a-graph-database-using-a-latent-factor-model-12849?utm_source=twitter&utm_campaign=twitter
[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://www.infoworld.com/article/3388649/anzograph-a-graph-database-for-deep-analytics.html

Top URLs in Tweet in G2:
[21] https://nebula-graph.io/
[9] https://www.youtube.com/watch?v=eQQ4r2PK-kM

[6] https://nebula-graph.io/posts/batch-data-importing-to-nebula-graph-via-spark-writer/
[4] Graph
[4] Database
[3] https://nebula-graph.io/posts/nebula-graph-pick-of-the-week-aug-28-2020/
[3] https://www.youtube.com/watch?v=nN8Wjab69VU&t=6791s

[2] https://dzone.com/articles/analyzing-relationships-in-game-of-thrones-with-ne
[2] https://info.cambridgesemantics.com/bloor-graph-database-market-update-2020?utm_campaign=Bloor
[2] Market

Top URLs in Tweet in G3:
[4] https://www.forbes.com/sites/craigsmith/2020/08/31/your-life-is-a-graph-look-at-it-that-way/
[3] http://www.datasciencecentral.com/profiles/blogs/data-modelling-topologies-of-a-graph-database
[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
[3] 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
[2] https://www.itproportal.com/features/how-to-use-graph-database-and-analytics-to-manage-effectively-during-turbulent-times/
[2] https://aws.amazon.com/blogs/opensource/dgraph-on-aws-setting-up-a-horizontally-scalable-graph-database/
[2] http://www.vldb.org/pvldb/vol13/p3217-matsunobu.pdf
[2] https://newsbrok.com/uncategorized/352851/graph-database-market-2020swot-analysis-by-top-key-players-aws-oracle-ibm-mongodb-neo4j-microsoft-others/?utm_source=dlvr.it&utm_medium=twitter
[2] https://thedailychronicle.in/tag/graph-database-market-growth/?utm_source=dlvr.it&utm_medium=twitter
[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%3Dcollection_home---4------1-----------------------

Top URLs in Tweet in G4:
[4] https://aws.amazon.com/blogs/database/using-collaborative-filtering-on-yelp-data-to-build-a-recommendation-system-in-amazon-neptune/
[4] https://aws.amazon.com/blogs/database/visualize-query-results-using-the-amazon-neptune-workbench/
[2] https://neo4j.com/whitepapers/graph-database-security-visual-overview/?ref=social-camp
[2] https://neo4j.com/blog/run-cypher-to-analyze-neo4j-graph-database-inconsistencies/?ref=social-blog
[2] https://aithority.com/it-and-devops/cloud/neo4j-delivers-first-and-only-integrated-graph-database-service-on-google-cloud-platform/
[1] https://neo4j.com/blog/graphcast-what-is-graph-database-in-10-minutes
[1] https://martechseries.com/analytics/data-visualization/neo4j-delivers-first-and-only-integrated-graph-database-service/
[1] https://neo4j.com/sandbox?utm_source=twitter&utm_medium=ppc&utm_campaign=sandbox-twitter-ads&utm_content=usecase_image&utm_term=blank-sandbox
[1] https://neo4j.com/sandbox?utm_source=twitter&utm_medium=ppc&utm_campaign=sandbox-twitter-ads&utm_content=usecase_image&utm_term=pole
[1] https://neo4j.com/sandbox?utm_source=twitter&utm_medium=ppc&utm_campaign=sandbox-twitter-ads&utm_content=usecase_image&utm_term=graph-data-science

Top URLs in Tweet in G5:
[12] https://aws.amazon.com/blogs/opensource/dgraph-on-aws-setting-up-a-horizontally-scalable-graph-database/
[5] https://aws.amazon.com/blogs/opensource/dgraph-on-aws-setting-up-a-horizontally-scalable-graph-database/?sc_channel=sm&sc_campaign=Open_Source&sc_publisher=TWITTER&sc_country=Open+Source&sc_geo=GLOBAL&sc_outcome=awareness&trk=open_source_TWITTER&linkId=98598171

Top URLs in Tweet in G6:
[8] http://www.datasciencecentral.com/profiles/blogs/data-modelling-topologies-of-a-graph-database
[1] 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

Top URLs in Tweet in G7:
[3] https://ad.doubleclick.net/ddm/trackclk/N223801.3035528MITTECHNOLOGYREVI/B24523953.279433600;dc_trk_aid=473435164;dc_trk_cid=135733404;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=
[2] https://docs.microsoft.com/en-us/azure/cosmos-db/graph-modeling
[1] http://www.datasciencecentral.com/profiles/blogs/data-modelling-topologies-of-a-graph-database
[1] https://www.technologyreview.com/2020/08/20/1000438/e-learning-theres-a-database-for-that-real-time-data-that-too/

Top URLs in Tweet in G8:
[2] https://www.zdnet.com/article/graph-machine-learning-hype-and-beyond-arangodb-open-source-multi-model-database-releases-version-3-7/
[1] https://aws.amazon.com/blogs/database/using-collaborative-filtering-on-yelp-data-to-build-a-recommendation-system-in-amazon-neptune/
[1] https://www.linkedin.com/slink?code=gdxwqwr
[1] https://www.meetup.com/PyData-Hamburg/events/272638097/

Top URLs in Tweet in G10:
[1] https://info.tigergraph.com/dbinsights-white-paper?utm_campaign=2020%20Content%3A%20Tony%20Baer%20dbInsights%20White%20Paper&utm_content=139736137&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://info.tigergraph.com/entity-resolution-mini-guide-0?utm_campaign=2020%20Paid%20Twitter-%20Entity%20Resolution%20Mini%20Guide&utm_source=twitter&utm_medium=paidsocial
[1] https://info.tigergraph.com/entity-resolution-mini-guide?utm_campaign=2020%20Entity%20Resolution%20Mini%20Guide&utm_content=138983731&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] http://www.tigergraph.com/graphaiworld?utm_content=139627869&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://www.connectbycorp.com/big-data-et-ai-paris-2020/registration?utm_content=139811975&utm_medium=social&utm_source=twitter&hss_channel=tw-509849786
[1] https://bit.ly/2YHPZNg
[1] https://bit.ly/32xDPrd
[1] https://azuremarketplace.microsoft.com/en-us/marketplace/apps/tigergraph.tigergraph-hourly-singleserver?tab=Overview
[1] https://www.zdnet.com/article/graph-machine-learning-hype-and-beyond-arangodb-open-source-multi-model-database-releases-version-3-7/?utm_source=contentstudio.io&utm_medium=referral
[1] https://www.itproportal.com/features/how-to-use-graph-database-and-analytics-to-manage-effectively-during-turbulent-times/

Top Domains
Top Domains in Tweet in Entire Graph:
[35] amazon.com
[31] nebula-graph.io
[22] neo4j.com
[17] youtube.com
[13] medium.com
[12] linkedin.com
[12] datasciencecentral.com
[8] twitter.com
[6] github.com
[5] towardsdatascience.com

Top Domains in Tweet in G1:
[4] medium.com
[3] youtube.com
[2] towardsdatascience.com
[2] rswebsols.com
[2] linkedin.com
[1] twitter.com
[1] dormoshe.io
[1] infoworld.com

Top Domains in Tweet in G2:
[30] nebula-graph.io
[13] youtube.com
[5] cambridgesemantics.com
[5] linkedin.com
[4] amazon.com
[2] dzone.com
[2] towardsdatascience.com
[2] idk.dev
[1] medium.com
[1] wistia.com

Top Domains in Tweet in G3:
[7] neo4j.com
[4] amazon.com
[4] forbes.com
[4] twitter.com
[3] ne.jp
[3] datasciencecentral.com
[3] medium.com
[3] reddit.com
[3] techcrunch.com
[2] itproportal.com

Top Domains in Tweet in G4:
[14] neo4j.com
[8] amazon.com
[2] aithority.com
[1] martechseries.com
[1] com.au
[1] zdnet.com
[1] medium.com

Top Domains in Tweet in G5:
[17] amazon.com

Top Domains in Tweet in G6:
[8] datasciencecentral.com
[1] medium.com

Top Domains in Tweet in G7:
[3] doubleclick.net
[2] microsoft.com
[1] datasciencecentral.com
[1] technologyreview.com

Top Domains in Tweet in G8:
[2] zdnet.com
[1] amazon.com
[1] linkedin.com
[1] meetup.com

Top Domains in Tweet in G10:
[4] tigergraph.com
[2] bit.ly
[1] connectbycorp.com
[1] microsoft.com
[1] zdnet.com
[1] itproportal.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[53] machinelearning
[48] datascience
[46] bigdata
[42] analytics
[41] database
[38] iot
[36] ai
[36] python
[35] iiot
[35] recsys



Top Hashtags in Tweet in G1:
[35] datascience
[35] machinelearning
[32] bigdata
[32] analytics
[32] ai
[32] iot
[32] iiot
[32] recsys
[32] python
[8] javascript

Top Hashtags in Tweet in G2:
[18] nebulagraph
[18] graphdatabase
[17] database
[16] knowledgegraph
[11] data
[8] interview
[6] features
[6] graphtechnology
[6] graphdb
[5] youtube

Top Hashtags in Tweet in G3:
[4] microsoft
[2] cloud
[2] towardsdatascience
[2] cryptocurrency
[2] graphdatabases
[2] neo4j
[2] connecteddata
[1] awsopensource
[1] vldb2020
[1] microsoftflow

Top Hashtags in Tweet in G4:
[12] neo4j
[8] aws
[6] database
[6] graph
[6] nodes2020
[5] googlecloudplatform
[5] graphalgorithms
[5] datascience
[5] gameofthrones
[3] recommendations

Top Hashtags in Tweet in G5:
[1] graphqlinspace
[1] cloud

Top Hashtags in Tweet in G6:
[4] machinelearning
[4] ml
[4] recommendation
[4] database
[4] model

Top Hashtags in Tweet in G7:
[7] graphdata
[7] azurecosmosdb
[6] datamodeling
[3] nosql

Top Hashtags in Tweet in G8:
[6] machinelearning
[5] recommendersystem
[5] graph
[3] datascience
[3] python
[2] bigdata
[2] analytics
[2] ai
[2] iot
[2] iiot

Top Hashtags in Tweet in G10:
[11] bigdata
[5] graphdatabase
[5] analytics
[3] graphdb
[3] datascience
[3] iot
[2] entityresolution
[2] healthcare
[1] datalake
[1] datawarehouse

Top Words
Top Words in Tweet in Entire Graph:
[549] graph
[488] database
[146] data
[124] using
[100] system
[96] build
[94] model
[86] recommendation
[82] neo4j
[55] open

Top Words in Tweet in G1:
[69] build
[69] recommendation
[69] system
[66] database
[57] graph
[40] using
[40] model
[37] latent
[37] factor
[35] #datascience

Top Words in Tweet in G2:
[134] graph
[87] database
[45] nebula
[43] data
[28] edges
[27] vertices
[26] graphs
[26] using
[24] open
[23] nodes

Top Words in Tweet in G3:
[76] graph
[65] database
[14] neo4j
[12] dgraph
[12] ãƒ
[10] graphql
[9] using
[8] platform
[7] use
[7] aws

Top Words in Tweet in G4:
[56] database
[52] graph
[48] neo4j
[32] today
[31] try
[31] something
[26] data
[23] explore
[22] step
[21] using

Top Words in Tweet in G5:
[17] database
[14] dgraphlabs
[12] dgraph
[12] awscloud
[11] joachim8675309
[10] blog
[10] introduction
[10] kubernetesio
[7] horizontally
[7] aws

Top Words in Tweet in G6:
[12] graph
[8] data
[8] modelling
[8] topologies
[8] database
[7] datasciencectrl
[4] hubbucket
[4] build
[4] #machinelearning
[4] #ml

Top Words in Tweet in G7:
[16] database
[13] learn
[12] audible
[12] business
[12] enterprise
[12] service
[12] lists
[12] thousands
[12] juggles
[10] sponsored

Top Words in Tweet in G8:
[14] database
[13] graph
[11] join
[11] evening
[11] inspiring
[11] talks
[11] cheukting_ho
[11] ai
[11] industry
[11] needs

Top Words in Tweet in G9:
[9] graph
[8] database
[5] roamresearch
[3] colby95113256
[3] use
[3] make
[3] entity
[2] databases
[2] first
[2] references

Top Words in Tweet in G10:
[24] database
[23] graph
[13] model
[11] #bigdata
[11] arangodb
[11] open
[11] source
[11] multi
[10] data
[9] machine

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[328] graph,database
[86] build,recommendation
[86] recommendation,system
[51] database,using
[50] system,graph
[50] using,latent
[50] latent,factor
[46] factor,model
[46] nebula,graph
[46] open,source

Top Word Pairs in Tweet in G1:
[69] build,recommendation
[69] recommendation,system
[52] graph,database
[37] system,graph
[37] database,using
[37] using,latent
[37] latent,factor
[37] factor,model
[32] system,#bigdata
[32] #bigdata,#analytics

Top Word Pairs in Tweet in G2:
[73] graph,database
[45] nebula,graph
[21] graph,open
[21] open,source
[21] source,graph
[21] database,unmatched
[21] unmatched,ability
[21] ability,host
[21] host,super
[21] super,large

Top Word Pairs in Tweet in G3:
[50] graph,database
[9] ãƒ,ãƒ
[7] database,using
[6] neo4j,graph
[6] database,platform
[6] slash,graphql
[4] open,source
[4] scalable,graph
[4] lsm,tree
[4] tree,database

Top Word Pairs in Tweet in G4:
[43] graph,database
[31] try,something
[31] something,today
[25] neo4j,try
[23] today,explore
[17] database,easy
[13] data,set
[11] easy,started
[11] started,friendly
[11] friendly,step

Top Word Pairs in Tweet in G5:
[10] blog,awscloud
[10] awscloud,introduction
[10] introduction,dgraphlabs
[10] dgraphlabs,database
[10] database,kubernetesio
[9] joachim8675309,blog
[6] graph,database
[5] dgraph,aws
[5] aws,setting
[5] setting,horizontally

Top Word Pairs in Tweet in G6:
[8] data,modelling
[8] modelling,topologies
[8] topologies,graph
[8] graph,database
[7] datasciencectrl,data
[4] build,#machinelearning
[4] #machinelearning,#ml
[4] #ml,#recommendation
[4] #recommendation,system
[4] system,graph

Top Word Pairs in Tweet in G7:
[12] audible,business
[12] enterprise,service
[12] service,lists
[12] lists,thousands
[10] sponsored,audible
[10] titles,juggles
[9] step,successful
[9] successful,database
[9] learn,model
[8] business,audible_com

Top Word Pairs in Tweet in G8:
[11] join,evening
[11] evening,inspiring
[11] inspiring,talks
[11] talks,cheukting_ho
[11] cheukting_ho,ai
[11] ai,industry
[11] industry,needs
[11] needs,revision
[11] revision,control
[11] control,graph

Top Word Pairs in Tweet in G9:
[3] graph,database
[2] entity,node
[2] bring,back

Top Word Pairs in Tweet in G10:
[13] graph,database
[11] open,source
[11] multi,model
[9] graph,machine
[9] machine,learning
[9] learning,hype
[9] hype,beyond
[9] beyond,arangodb
[9] arangodb,open
[9] source,multi

Top Replied-To
Top Replied-To in Entire Graph:
@bloorresearch
@hillelogram
@againquentin
@colby95113256
@francois_nguyen
@aaranged
@barrasadv
@refresh_daemon
@patallenstein
@tomzeppenfeldt

Top Replied-To in G2:
@bloorresearch
@francois_nguyen
@richardeudes
@macklin_hartley
@jimwebber
@krishnan
@duckyd07
@kidehen
@myles_younger
@ccambron

Top Replied-To in G4:
@tomr4vn
@jackellis

Top Replied-To in G5:
@azza_314
@joachim8675309

Top Replied-To in G7:
@azurecosmosdb

Top Replied-To in G9:
@colby95113256
@vivaldibrowser
@edsonedge
@rroudt

Top Mentioned
Top Mentioned in Entire Graph:
@neo4j
@tdatascience
@gp_pulipaka
@awscloud
@kurt_cagle
@dgraphlabs
@cheukting_ho
@pydatahamburg
@la
@thomivar

Top Mentioned in G1:
@tdatascience
@gp_pulipaka
@redislabs
@trailhub1
@sharadregoti
@graphqltrends
@naveens16
@philipvollet
@cassandra
@mongodb

Top Mentioned in G2:
@kurt_cagle
@camsemantics
@linked_do
@ajanning
@stewartlbond
@kejriwal_mayank
@juansequeda
@marklogic
@aaranged
@nebulagraph

Top Mentioned in G3:
@tokenjay
@yangjiayi82

Top Mentioned in G4:
@neo4j
@hadoxn
@danilop
@martechseries
@slackhq
@jimwebber
@om_henners
@adamcowley
@aithority
@craigbrownphd

Top Mentioned in G5:
@dgraphlabs
@awscloud
@joachim8675309
@kubernetesio
@awsopen
@azza_314

Top Mentioned in G6:
@datasciencectrl
@hubbucket
@tensorflow
@tdatascience
@hubdevops
@hubharbor
@hubdataops
@hubfabric
@hubfunctions
@hubernetes

Top Mentioned in G7:
@audible_com
@techreview
@azurecosmosdb
@awscloud
@datasciencectrl
@tdatascience
@mit_insights

Top Mentioned in G8:
@cheukting_ho
@pydatahamburg
@la
@dattarajr
@gp_pulipaka
@danilop
@lais_bsc
@jicksonstephen

Top Mentioned in G9:
@roamresearch
@colby95113256
@mrkhdly
@wirtzdan
@austen
@theannagat
@kevinrose
@notionhq

Top Mentioned in G10:
@tigergraphdb
@craigbrownphd
@ds_analytics
@tonybaer
@azure
@andnlp

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@chidambara09
@aaroncuddeback
@quintero_funes
@rosenchild
@csa_dvillamizar
@codernotesbot
@taieb_bot
@xaelbot
@pimmaiden

Top Tweeters in G1:
@sectest9
@aaroncuddeback
@codernotesbot
@taieb_bot
@xaelbot
@cybersecurityn8
@learn__together
@codegnuts
@nlognbot
@thedeveloperbot

Top Tweeters in G2:
@merckxcycling
@bigbrutha_
@krishnan
@harishpillay
@kidehen
@webanalyste
@medium
@richardeudes
@refresh_daemon
@lgomezperu

Top Tweeters in G3:
@csa_dvillamizar
@dataaugmented
@crm_cws_cloud
@pvynckier
@nakayoshix
@hncynic
@tokenjay
@shelearnsonline
@itproportal
@quinnypig

Top Tweeters in G4:
@quintero_funes
@pimmaiden
@slackhq
@hubofml
@ml_tweet_bot
@friday_js_bot
@soyrobotico
@lucasoft_co_uk
@thenroteaux
@elsenala

Top Tweeters in G5:
@awscloud
@halftroll
@rikkiends
@094459
@joachim8675309
@insanitybit
@tdinkar
@sonatard
@awsopen
@kubernetesio

Top Tweeters in G6:
@hubbucket
@angelinux3000
@nopiedra
@datasciencectrl
@prosumersoft
@topazzcrapazz
@agusspark
@ignite_insights
@yamlbooks
@hubclouds

Top Tweeters in G7:
@rosenchild
@techaggreg
@techreview
@pmenonkp
@audible_com
@edgar_villegas
@ajmarcelle4real
@azurecosmosdb
@hassan14_pk
@abhi_tweeter

Top Tweeters in G8:
@andrewmorrisuk
@dariosailor86
@thecuriousluke
@blackpeopledata
@api_daily
@api_learnn
@beakpeaklogic
@jicksonstephen
@jesperdramsch
@la

Top Tweeters in G9:
@theannagat
@notionhq
@vivaldibrowser
@austen
@mrkhdly
@codexeditor
@kevinrose
@gabemott
@rroudt
@roamresearch

Top Tweeters in G10:
@chidambara09
@cas_main_stream
@datasciencebot_
@craigbrownphd
@azure
@ds_analytics
@tonybaer
@rod_pardo
@andnlp
@tigergraphdb