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infoviz OR infovis_2021-06-17_17-44-42.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
June 18, 2021
Short Description:
infoviz OR infovis via NodeXL https://bit.ly/3vAdh5f
@benbendc
@infovis
@thenewyorkermag
@weblyzard
@jessicahullman
@jordanjamesetem
@nacho_ls
@rackhamlenoir
@jeongeon8
@rmohan9

Top hashtags:
#dataviz
#siggraph
#ieeevis
#ieeecga
#colourlovers
#infovis

Description:
Description
The graph represents a network of 60 Twitter users whose tweets in the requested range contained "infoviz OR infovis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 June 2021 at 00:44 UTC.

The requested start date was Friday, 18 June 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 12-day, 3-hour, 53-minute period from Friday, 04 June 2021 at 16:32 UTC to Wednesday, 16 June 2021 at 20:25 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 : 60
Unique Edges : 64
Edges With Duplicates : 66
Total Edges : 130
Number of Edge Types : 5
Replies to : 4
Retweet : 25
MentionsInRetweet : 59
Tweet : 25
Mentions : 17
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0.038961038961039
Reciprocated Edge Ratio : 0.075
Connected Components : 18
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 25
Maximum Edges in a Connected Component : 77
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.623626
Graph Density : 0.0225988700564972
Modularity : 0.431021
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 60 Twitter users whose tweets in the requested range contained "infoviz OR infovis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 June 2021 at 00:44 UTC.

The requested start date was Friday, 18 June 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 12-day, 3-hour, 53-minute period from Friday, 04 June 2021 at 16:32 UTC to Wednesday, 16 June 2021 at 20:25 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 : infoviz OR infovis
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:
[2] https://booth.lse.ac.uk/learn-more/download-maps
[1] http://geotests.net/couleurs/frequences_en.html#ce
[1] http://cu-visualab.org/ColorCrafter/
[1] https://www.newyorker.com/magazine/2021/06/21/when-graphs-are-a-matter-of-life-and-death
[1] https://www.malofiejgraphics.com/views/philippe-rekacewicz-the-human-and-emotional-dimensions-of-maps/2020/09
[1] https://infovis-wiki.net/wiki/Information_Visualization
[1] https://us5.campaign-archive.com/?u=5c43decd8cb9392fc762895d7&id=93e464f28f
[1] https://nachols1986.github.io/infovis/tablero_covid.html
[1] https://infovis-wiki.net/wiki/Lie_Factor
[1] https://twitter.com/ineffectivemath/status/1402324187398787072

Top URLs in Tweet in G1:
[1] https://www.newyorker.com/magazine/2021/06/21/when-graphs-are-a-matter-of-life-and-death

Top URLs in Tweet in G2:
[2] https://booth.lse.ac.uk/learn-more/download-maps
[1] https://twitter.com/emollick/status/1400885452261974020
[1] https://kosara.net/publications/Ziemkiewicz-InfoVis-2008.html
[1] https://kosara.net/publications/Ziemkiewicz-InfoVis-2010.html
[1] https://twitter.com/LacePadilla/status/1401920601086824449
[1] https://twitter.com/ineffectivemath/status/1402324187398787072
[1] https://infovis-wiki.net/wiki/Lie_Factor
[1] http://cu-visualab.org/ColorCrafter/
[1] http://geotests.net/couleurs/frequences_en.html#ce

Top URLs in Tweet in G3:
[1] https://us5.campaign-archive.com/?u=5c43decd8cb9392fc762895d7&id=93e464f28f

Top URLs in Tweet in G4:
[1] https://mucollective.northwestern.edu/files/2011-VisRhetoric-InfoVis.pdf

Top URLs in Tweet in G6:
[1] https://nachols1986.github.io/infovis/tablero_covid.html

Top URLs in Tweet in G9:
[1] https://www.malofiejgraphics.com/views/philippe-rekacewicz-the-human-and-emotional-dimensions-of-maps/2020/09

Top URLs in Tweet in G10:
[1] https://infovis-wiki.net/wiki/Information_Visualization

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[14] dataviz
[14] siggraph
[13] ieeevis
[13] ieeecga
[12] colourlovers
[12] infovis
[12] visualanalytics
[12] albers_lucy
[12] infoviz
[10] durhamcountylib



Top Hashtags in Tweet in G2:
[14] siggraph
[13] dataviz
[13] ieeevis
[13] ieeecga
[12] colourlovers
[12] infovis
[12] visualanalytics
[12] albers_lucy
[10] durhamcountylib
[9] colortheory

Top Hashtags in Tweet in G3:
[1] infoviz
[1] ai
[1] emotiondetection

Top Hashtags in Tweet in G7:
[2] visualization
[2] infoviz
[1] schwimmen
[1] colour

Top Words
Top Words in Tweet in Entire Graph:
[21] infovis
[19] interesting
[18] engaging
[18] article
[18] thenewyorkermag
[18] tells
[18] history
[18] shows
[18] info
[18] vis

Top Words in Tweet in G1:
[18] engaging
[18] interesting
[18] article
[18] thenewyorkermag
[18] tells
[18] history
[18] infovis
[18] shows
[18] info
[18] vis

Top Words in Tweet in G2:
[14] #siggraph
[13] #dataviz
[13] #ieeevis
[13] #ieeecga
[12] #colourlovers
[12] #infovis
[12] #visualanalytics
[12] #albers_lucy
[10] #durhamcountylib
[9] #colortheory

Top Words in Tweet in G3:
[9] weblyzard
[5] newsletter
[5] #39
[5] horizon
[5] europe
[5] green
[5] deal
[5] start
[5] eu
[5] flagship

Top Words in Tweet in G5:
[3] 2005
[2] ieee

Top Words in Tweet in G7:
[2] anne
[2] klammt
[2] daten
[2] geodaten
[2] visualisierungen
[2] raumbezug
[2] erste
[2] schritte
[2] archaeoklammt
[2] #visualization

Top Words in Tweet in G9:
[2] philippe
[2] rekacewicz
[2] cartógrafo
[2] geógrafo
[2] infografista
[2] trata
[2] temas
[2] tales
[2] guerras
[2] crisis

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[18] engaging,interesting
[18] interesting,article
[18] article,thenewyorkermag
[18] thenewyorkermag,tells
[18] tells,history
[18] history,infovis
[18] infovis,shows
[18] shows,info
[18] info,vis
[18] vis,helps

Top Word Pairs in Tweet in G1:
[18] engaging,interesting
[18] interesting,article
[18] article,thenewyorkermag
[18] thenewyorkermag,tells
[18] tells,history
[18] history,infovis
[18] infovis,shows
[18] shows,info
[18] info,vis
[18] vis,helps

Top Word Pairs in Tweet in G2:
[12] #dataviz,#infovis
[8] #ieeecga,#durhamcountylib
[7] #siggraph,#ieeevis
[7] #colortheory,#visualanalytics
[6] #ieeevis,#ieeecga
[5] summer,sun
[5] #infovis,#visualanalytics
[5] #siggraph,#ieeecga
[4] #albersloc,spin
[4] spin,gt

Top Word Pairs in Tweet in G3:
[5] weblyzard,newsletter
[5] newsletter,#39
[5] #39,horizon
[5] horizon,europe
[5] europe,green
[5] green,deal
[5] deal,start
[5] start,eu
[5] eu,flagship
[5] flagship,funding

Top Word Pairs in Tweet in G7:
[2] anne,klammt
[2] klammt,daten
[2] daten,geodaten
[2] geodaten,visualisierungen
[2] visualisierungen,raumbezug
[2] raumbezug,erste
[2] erste,schritte
[2] schritte,archaeoklammt
[2] archaeoklammt,#visualization

Top Word Pairs in Tweet in G9:
[2] philippe,rekacewicz
[2] rekacewicz,cartógrafo
[2] cartógrafo,geógrafo
[2] geógrafo,infografista
[2] infografista,trata
[2] trata,temas
[2] temas,tales
[2] tales,guerras
[2] guerras,crisis
[2] crisis,migratorias

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@thenewyorkermag
@infovis
@benbendc
@weblyzard
@archaeoklammt
@hcil_umd
@umdcs
@ischoolumd
@katycns
@albertocairo

Top Mentioned in G1:
@thenewyorkermag
@infovis
@benbendc
@hcil_umd
@umdcs
@ischoolumd
@katycns
@albertocairo
@datavizsociety
@ieee_tvcg

Top Mentioned in G2:
@lselibrary

Top Mentioned in G3:
@weblyzard
@cordis_eu
@retv_eu

Top Mentioned in G4:
@scotthmurray
@ndiakopoulos

Top Mentioned in G5:
@bradsmi
@microsoft

Top Mentioned in G6:
@fedetiberti

Top Mentioned in G7:
@archaeoklammt
@wpippich

Top Mentioned in G9:
@infografiasucm

Top Tweeters
Top Tweeters in Entire Graph:
@ricardo_ik_ahau
@maelorin
@visakanv
@albertocairo
@james3neal
@vitufagundes
@jmochicago
@mapolo1978
@amirsariaslan
@eagereyes

Top Tweeters in G1:
@maelorin
@albertocairo
@james3neal
@jmochicago
@juan__gonzalez
@rackhamlenoir
@ischoolumd
@umdcs
@barefootprofe
@benbendc

Top Tweeters in G2:
@vitufagundes
@eagereyes
@rickmunoz
@tmrhyne
@f_dion
@lselibrary
@dhuha_nawab
@cardinalb

Top Tweeters in G3:
@cordis_eu
@decarbonet
@weblyzard
@retv_eu
@ecoresearch
@asap_eu

Top Tweeters in G4:
@ndiakopoulos
@scotthmurray
@smtology
@jessicahullman

Top Tweeters in G5:
@microsoft
@jordanjamesetem
@bradsmi

Top Tweeters in G6:
@mapolo1978
@nacho_ls
@fedetiberti

Top Tweeters in G7:
@archaeoklammt
@wpippich
@keimelia

Top Tweeters in G8:
@amirsariaslan
@galinash

Top Tweeters in G9:
@infovis_
@infografiasucm

Top Tweeters in G10:
@visakanv
@lauracsc_