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#data4good_2022-11-28_11-45-01.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
November 28, 2022
Short Description:
#data4good via NodeXL https://bit.ly/3AR6Hwy
@appsilon
@coleridge4data
@ameisen_strasse
@carlos_santiso
@correlaid
@nourishing_sch
@datakind
@baltic_cod
@werobotics
@dataalgosocitam

Top hashtags:
#data4good
#data
#datascience
#climatecrisis
#forests
#analytics

Description:
Description
The graph represents a network of 81 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 November 2022 at 19:45 UTC.

The requested start date was Monday, 28 November 2022 at 01:01 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, 3-hour, 33-minute period from Monday, 14 November 2022 at 13:02 UTC to Friday, 25 November 2022 at 16:35 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 : 81
Unique Edges : 52
Edges With Duplicates : 115
Total Edges : 167
Number of Edge Types : 4
Retweet : 50
MentionsInRetweet : 60
Mentions : 30
Tweet : 27
Self-Loops : 32
Reciprocated Vertex Pair Ratio : 0.150684931506849
Reciprocated Edge Ratio : 0.261904761904762
Connected Components : 23
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 11
Maximum Edges in a Connected Component : 27
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.257831
Graph Density : 0.012962962962963
Modularity : 0.453835
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 81 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 November 2022 at 19:45 UTC.

The requested start date was Monday, 28 November 2022 at 01:01 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, 3-hour, 33-minute period from Monday, 14 November 2022 at 13:02 UTC to Friday, 25 November 2022 at 16:35 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 : #data4good
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:
[3] https://www.latech4good.org/dataworkshop-public
[2] https://apo.org.au/node/320678
[2] https://twitter.com/roundaboutdrama/status/1592903755816894464
[2] https://go.appsilon.com/forests/
[1] https://www.youtube.com/c/PyLadiesBerlin
[1] https://twitter.com/pyladiesber/status/1595477861242404864
[1] https://twitter.com/CorrelAid/status/1595454254885527556
[1] https://www.sas.com/en_us/news/press-releases/2022/november/shorty-impact.html
[1] https://brightinitiative.com/blog/public-policy/digital-facelift-how-governments-can-use-public-web-data-to-boost-efficiency-in-the-public-sector%EF%BF%BC?utm_content=229161602&utm_medium=social&utm_source=twitter&hss_channel=tw-1425359125425397772
[1] https://www.sas.com/en_us/news/press-releases/2022/november/sas-hackathon-2023-registration.html?utm_source=TWITTER&utm_medium=social-advocacy&utm_content=8197569481&utm_campaign=SAS+Brand

Top URLs in Tweet in G1:
[2] https://go.appsilon.com/forests/
[1] https://connect.appsilon.com/future-forests/
[1] https://appsilon.com/climate-change-and-pine-forests/?utm_medium=social&utm_source=twitter&utm_campaign=futureforests-sm
[1] https://twitter.com/Baltic_Cod/status/1592515957238689792

Top URLs in Tweet in G3:
[1] https://www.youtube.com/c/PyLadiesBerlin
[1] https://twitter.com/pyladiesber/status/1595477861242404864
[1] https://twitter.com/CorrelAid/status/1595454254885527556

Top URLs in Tweet in G4:
[1] https://members.dataforpolicy.org/2022-conference/

Top URLs in Tweet in G6:
[2] https://twitter.com/roundaboutdrama/status/1592903755816894464
[1] https://twitter.com/daniel_d_kang/status/1592617350687510528

Top URLs in Tweet in G7:
[1] https://vimeo.com/768165030?embedded=true&source=vimeo_logo&owner=5929072

Top URLs in Tweet in G8:
[1] https://medium.com/geekculture/time-series-analysis-and-time-aware-ml-the-vast-and-deep-relationship-between-statistics-and-time-5ec2b4f31d29
[1] https://akvo-1891949.hs-sites.com/webinar/digital-for-good/?utm_content=228352373&utm_medium=social&utm_source=twitter&hss_channel=tw-15659052
[1] https://twitter.com/GV_Statistician/status/1594286179402354688
[1] https://brightinitiative.com/blog/public-policy/digital-facelift-how-governments-can-use-public-web-data-to-boost-efficiency-in-the-public-sector%EF%BF%BC?utm_content=229161602&utm_medium=social&utm_source=twitter&hss_channel=tw-1425359125425397772
[1] https://www.sas.com/en_us/news/press-releases/2022/november/shorty-impact.html

Top URLs in Tweet in G9:
[1] https://blog.werobotics.org/2022/11/07/gender-responsible-ai-network-taking-shape-using-our-inclusive-networks-model/?utm_content=buffer934dd&utm_medium=Social+Media&utm_source=Twitter&utm_campaign=Buffer
[1] https://blog.werobotics.org/2022/11/07/gender-responsible-ai-network-taking-shape-using-our-inclusive-networks-model/?utm_content=bufferc4573&utm_medium=Social+Media&utm_source=Twitter&utm_campaign=Buffer

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[58] data4good
[18] data
[10] datascience
[6] climatecrisis
[6] forests
[5] analytics
[4] rstats
[4] dataanalytics
[4] shiny
[4] dataliteracy



Top Hashtags in Tweet in G1:
[8] data4good
[6] climatecrisis
[6] forests
[4] shiny
[1] futureforests
[1] futureforest
[1] climatechange

Top Hashtags in Tweet in G2:
[3] datendialog
[3] data4good
[1] datadialog
[1] community

Top Hashtags in Tweet in G3:
[4] rstats
[3] data4good
[1] datascience

Top Hashtags in Tweet in G4:
[5] data4good
[5] data
[1] dataforpolicy2022

Top Hashtags in Tweet in G5:
[11] data4good
[5] datascience
[4] dataliteracy
[2] evidencebasedpolicy
[1] dataeducation
[1] publicsector
[1] dataproducts
[1] dataforpolicy
[1] wednesdaywisdom
[1] datalinkage

Top Hashtags in Tweet in G6:
[3] data4good
[2] datascience
[1] jobalert

Top Hashtags in Tweet in G7:
[3] adolescents
[1] d4n2022
[1] nutrition
[1] research
[1] datahub
[1] data4good

Top Hashtags in Tweet in G8:
[8] data4good
[4] data
[3] machinelearning
[2] timeseriesanalysis
[2] datascience
[2] deeplearning
[2] 100daysofmlcode
[2] analytics
[2] dataanalytics
[2] salesforecasting

Top Hashtags in Tweet in G9:
[2] techforgood
[2] data4good

Top Hashtags in Tweet in G10:
[1] data4good

Top Words
Top Words in Tweet in Entire Graph:
[56] #data4good
[42] data
[18] #data
[15] public
[13] future
[12] more
[10] appsilon
[10] used
[10] agencies
[10] #datascience

Top Words in Tweet in G1:
[10] appsilon
[8] change
[8] #data4good
[7] part
[6] curious
[6] future
[6] #climatecrisis
[6] affect
[6] #forests
[6] baltic_cod

Top Words in Tweet in G2:
[4] correlaid
[3] unserer
[3] verschiedene
[3] teams
[3] stunden
[3] nächsten
[3] begonnen
[3] diskutieren
[3] #datendialog
[3] #data4good

Top Words in Tweet in G3:
[4] step
[4] excited
[4] meetup
[4] #rstats
[4] autumn
[4] comfort
[4] ameisen_strasse
[4] zone
[4] conference
[4] continues

Top Words in Tweet in G4:
[5] innovations
[5] public
[5] interested
[5] governance
[5] learning
[5] sector
[5] impacting
[5] #data4good
[5] driven
[5] #data

Top Words in Tweet in G5:
[29] data
[11] #data4good
[10] agencies
[10] public
[9] used
[8] coleridge4data
[6] programs
[6] operations
[6] evidence
[6] daily

Top Words in Tweet in G6:
[3] #data4good
[2] datakinduk
[2] #datascience

Top Words in Tweet in G7:
[3] minute
[3] healthy
[3] #adolescents
[3] challenge
[3] practices
[3] summarise
[3] promoting
[3] dietary
[3] impact
[3] amongst

Top Words in Tweet in G8:
[8] #data4good
[4] using
[4] #data
[3] #machinelearning
[2] #deeplearning
[2] #analytics
[2] aware'
[2] deep
[2] error
[2] #demandforecasting

Top Words in Tweet in G9:
[8] ai
[7] responsible
[6] gender
[5] network
[5] grain
[4] looking
[3] working
[3] werobotics
[3] organizations
[3] researchers

Top Words in Tweet in G10:
[3] come
[3] umichsph
[3] happy
[3] representing
[3] um_midas
[3] symposium
[3] biostatistics
[3] annual
[3] statcom_um
[3] happening

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7] responsible,ai
[6] affect,future
[6] interested,learning
[6] #forests,part
[6] future,european
[6] initiative,appsilon
[6] part,#data4good
[6] public,agencies
[6] #data4good,initiative
[6] #data4good,#datascience

Top Word Pairs in Tweet in G1:
[6] european,#forests
[6] #forests,part
[6] #climatecrisis,affect
[6] curious,#climatecrisis
[6] #data4good,initiative
[6] affect,future
[6] part,#data4good
[6] initiative,appsilon
[6] future,european
[5] appsilon,pre

Top Word Pairs in Tweet in G2:
[3] nächsten,stunden
[3] teams,unserer
[3] verschiedene,teams
[3] diskutieren,verschiedene
[3] #datendialog,correlaid
[3] begonnen,nächsten
[3] stunden,diskutieren
[3] correlaid,begonnen
[2] bertelsmannst,#datendialog
[2] unserer,stiftun

Top Word Pairs in Tweet in G3:
[4] autumn,continues
[4] #rstats,comfort
[4] excited,step
[4] comfort,zone
[4] step,#rstats
[4] meetup,autumn
[4] continues,excited
[4] conference,meetup
[3] ameisen_strasse,conference
[3] zone,pyladiesbe

Top Word Pairs in Tweet in G4:
[5] public,sector
[5] innovations,governance
[5] #data4good,interested
[5] driven,innovations
[5] learning,#data
[5] governance,public
[5] #data,driven
[5] interested,learning
[5] sector,impacting
[4] carlos_santiso,#data4good

Top Word Pairs in Tweet in G5:
[6] coleridge4data,data
[6] public,agencies
[5] evidence,based
[4] determine,effectiveness
[4] agency,operations
[4] based,policymaking
[4] operations,used
[4] daily,public
[4] involves,using
[4] course,daily

Top Word Pairs in Tweet in G6:
[2] datakinduk,#data4good
[2] #data4good,#datascience

Top Word Pairs in Tweet in G7:
[3] amongst,#adolescents
[3] challenge,accepted
[3] impact,promoting
[3] dietary,practices
[3] #adolescents,minute
[3] minute,challenge
[3] summarise,impact
[3] practices,amongst
[3] healthy,dietary
[3] promoting,healthy

Top Word Pairs in Tweet in G8:
[4] #data,#data4good
[2] comparison,using
[2] #demandforecasting,#forecasting
[2] #analytics,#dataanalytics
[2] #100daysofmlcode,#analytics
[2] intro,#timeseriesanalysis
[2] #salesforecasting,#demandforecasting
[2] 'time,aware'
[2] know,companies
[2] deep,intro

Top Word Pairs in Tweet in G9:
[7] responsible,ai
[5] network,grain
[5] ai,network
[5] gender,responsible
[3] cross,cutting
[3] organizations,working
[3] looking,researchers
[3] working,cross
[3] researchers,organizations
[3] grain,looking

Top Word Pairs in Tweet in G10:
[3] statcom_um,happy
[3] annual,symposium
[3] symposium,come
[3] happening,statcom_um
[3] biostatistics,um_midas
[3] um_midas,annual
[3] umichsph,biostatistics
[3] happy,representing
[3] representing,umichsph
[2] stephensalerno4,happening

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@appsilon
@ume_kyd
@coleridge4data
@baltic_cod
@ameisen_strasse
@carlos_santiso
@bertelsmannst
@correlaid
@werobotics

Top Mentioned in G1:
@appsilon
@baltic_cod
@mkdyderski

Top Mentioned in G2:
@bertelsmannst
@correlaid
@fairlanguage
@querstadtein

Top Mentioned in G3:
@ameisen_strasse
@pyladiesber

Top Mentioned in G4:
@carlos_santiso
@dataforpolicy
@data_and_policy

Top Mentioned in G5:
@coleridge4data

Top Mentioned in G6:
@datakinduk
@uofillinois
@daniel_d_kang
@datakind

Top Mentioned in G7:
@nourishing_sch
@sinharchana
@drsanaelahi1
@ifpri

Top Mentioned in G8:
@openblender

Top Mentioned in G9:
@werobotics

Top Mentioned in G10:
@statcom_um
@umichsph
@um_midas
@stephensalerno4

Top Tweeters
Top Tweeters in Entire Graph:
@o_fabriciosouza
@rstatstweet
@datasciencebot_
@0214towel
@nordicgeo
@pardoe_ai
@ucloudifyai
@openblender
@rstats4ds
@sozialpr

Top Tweeters in G1:
@oluwakemi_od
@pestka_
@recleev
@mkdyderski
@thatpolymathguy
@baltic_cod
@appsilon
@parmsam_
@eduu_rubilar
@pawel_appsilon

Top Tweeters in G2:
@bertelsmannst
@fairlanguage
@correlaid
@querstadtein
@joergfaust
@cfreihse

Top Tweeters in G3:
@rstatstweet
@datasciencebot_
@rstats4ds
@fubits
@ameisen_strasse
@pyladiesber

Top Tweeters in G4:
@johngmcnutt
@thegovlab
@mcx83
@carlos_santiso
@dataforpolicy
@data_and_policy

Top Tweeters in G5:
@o_fabriciosouza
@pardoe_ai
@ucloudifyai
@alphapromega
@bpgrady
@coleridge4data

Top Tweeters in G6:
@uofillinois
@datakind
@datakinduk
@vizimpact
@daniel_d_kang

Top Tweeters in G7:
@ifpri
@poshansm
@sinharchana
@nourishing_sch
@drsanaelahi1

Top Tweeters in G8:
@openblender
@cjdinger
@akvo
@victorowusu79
@bright_init

Top Tweeters in G9:
@nordicgeo
@werobotics
@femi__adekoya
@precisionfield_

Top Tweeters in G10:
@umichsph
@um_midas
@stephensalerno4
@statcom_um


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