The graph represents a network of 147 Twitter users whose recent tweets contained "dazaviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Friday, 20 May 2022 at 13:24 UTC.
The tweets in the network were tweeted over the 19-hour, 44-minute period from Thursday, 19 May 2022 at 17:21 UTC to Friday, 20 May 2022 at 13:06 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
Vertices : 147
Unique Edges : 571
Edges With Duplicates : 1874
Total Edges : 2445
Number of Edge Types : 5
Tweet : 22
Mentions : 160
Retweet : 990
MentionsInRetweet : 973
Replies to : 300
Self-Loops : 46
Reciprocated Vertex Pair Ratio : 0.0306818181818182
Reciprocated Edge Ratio : 0.0595369349503859
Connected Components : 7
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 134
Maximum Edges in a Connected Component : 2432
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.20815
Graph Density : 0.0422607399124033
Modularity : 0.150256
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 147 Twitter users whose recent tweets contained "dazaviz OR datavis", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Friday, 20 May 2022 at 13:24 UTC.
The tweets in the network were tweeted over the 19-hour, 44-minute period from Thursday, 19 May 2022 at 17:21 UTC to Friday, 20 May 2022 at 13:06 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 : TwitterSearch
Graph Term : dazaviz OR datavis
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1006] #fintech,#insurtech [972] #wordpress,#security [962] #javascript,#reactjs [951] #mlops,#flutter [951] #flutter,#html [950] #reactjs,#wordpress [946] #datavis,#infosec [936] #html,#azure [928] #tensorflow,#datavis [920] #iot,#iiot Top Word Pairs in Tweet in G1:
[387] #fintech,#insurtech [385] #mlops,#flutter [385] #flutter,#html [383] #wordpress,#security [378] #html,#azure [374] #datavis,#infosec [373] #javascript,#reactjs [369] #reactjs,#wordpress [366] #tensorflow,#datavis [362] #iot,#iiot Top Word Pairs in Tweet in G2:
[325] #javascript,#reactjs [325] #wordpress,#security [323] #fintech,#insurtech [321] #reactjs,#wordpress [321] #datavis,#infosec [319] #mlops,#flutter [319] #flutter,#html [314] #html,#azure [311] #tensorflow,#datavis [309] #security,#defi Top Word Pairs in Tweet in G3:
[73] #fintech,#insurtech [63] #finserv,#marketing [58] #iot,#iiot [55] #javascript,#reactjs [52] #reactjs,#wordpress [52] #wordpress,#security [51] #insurtech,#ai [50] #security,#defi [50] #datavis,#infosec [50] #mlops,#flutter Top Word Pairs in Tweet in G4:
[223] #fintech,#insurtech [212] #wordpress,#security [209] #javascript,#reactjs [208] #reactjs,#wordpress [203] #tensorflow,#datavis [201] #datavis,#infosec [201] #insurtech,#ai [197] #mlops,#flutter [197] #flutter,#html [196] #iot,#iiot Top Word Pairs in Tweet in G5:
[2] fantastic,day [2] day,#analysisingovernmentmonth [2] #analysisingovernmentmonth,events [2] events,chat [2] chat,bar [2] bar,busy [2] busy,during [2] during,morning [2] morning,#accessibility [2] #accessibility,#datavis Top Word Pairs in Tweet in G6:
[2] hi,industry [2] industry,job [2] job,market [2] market,hci [2] hci,research [2] research,postdoc [2] postdoc,roles [2] roles,interdisciplinary [2] interdisciplinary,phd [2] phd,researcher Top Word Pairs in Tweet in G8:
[3] #todayinhistory,#datavis [3] #datavis,#historicaldatavis [3] #historicaldatavis,#onthisday [3] #onthisday,#otd [3] #otd,20 [2] 20,1796 [2] 1796,adolphe [2] adolphe,d'angeville [2] d'angeville,born [2] born,lompnes Top Word Pairs in Tweet in G9:
[2] use,remedybg [2] remedybg,debugging [2] debugging,instead [2] instead,visual [2] visual,studio [2] studio,dramatically [2] dramatically,smaller [2] smaller,faster [2] faster,more [2] more,flexible Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: