The graph represents a network of 4,030 Twitter users whose recent tweets contained "powerbi", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 05:49 UTC.
The tweets in the network were tweeted over the 1229-day, 20-hour, 6-minute period from Thursday, 05 September 2019 at 04:53 UTC to Tuesday, 17 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4030
Unique Edges : 1588
Edges With Duplicates : 9216
Total Edges : 10804
Number of Edge Types : 9
Retweet : 3413
MentionsInRetweet : 4354
Tweet : 1309
Replies to : 471
MentionsInReplyTo : 833
Quote : 44
Mentions : 336
MentionsInQuoteReply : 17
MentionsInQuote : 27
Self-Loops : 1644
Reciprocated Vertex Pair Ratio : 0.0227526210127147
Reciprocated Edge Ratio : 0.0444929116684842
Connected Components : 449
Single-Vertex Connected Components : 270
Maximum Vertices in a Connected Component : 2873
Maximum Edges in a Connected Component : 8546
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.318214
Graph Density : 0.000282382010818588
Modularity : 0.412835
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,030 Twitter users whose recent tweets contained "powerbi", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 05:49 UTC.
The tweets in the network were tweeted over the 1229-day, 20-hour, 6-minute period from Thursday, 05 September 2019 at 04:53 UTC to Tuesday, 17 January 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : powerbi
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[1169] excess,death [1168] death,data [1120] non,covid [1100] covid,excess [1100] data,england [1099] increases,mortality [1099] england,devastating [1099] breaking,latest [1099] latest,non [1099] mortality,start Top Word Pairs in Tweet in G1:
[1092] increases,mortality [1092] non,covid [1092] latest,non [1092] devastating,larger [1092] death,data [1092] excess,death [1092] covid,excess [1092] mortality,start [1092] larger,increases [1092] england,devastating Top Word Pairs in Tweet in G2:
[483] power,bi [95] #powerbi,#powerapps [86] covid,19 [62] more,insights [59] 2023,more [59] coronavirus,covid [50] #coronavirus,#covid19 [50] insights,#coronavirus [44] #coronaupdate,#coronavirusoutbreak [44] #covid19pandemic,#coronaupdate Top Word Pairs in Tweet in G3:
[457] skills,statistics [457] sql,data [457] statistics,algebra [457] excel,sql [457] algebra,excel [457] technical,skills [457] data,analyst [455] map,follow [455] ezekiel_aleke,technical [455] follow,ezekiel_aleke Top Word Pairs in Tweet in G4:
[86] power,bi [15] viva,goals [13] thank,power [13] microsoft,teams [13] bi,community [13] time,zones [13] collaboration,experiences [13] teams,collaboration [13] experiences,improvements [12] ver,info Top Word Pairs in Tweet in G5:
[89] first,published [89] hello,#datafam [89] sales,analysis [89] pharmaceutical,manufacturing [89] work,sales [89] #datafam,first [89] published,work [89] analysis,pharmaceutical [89] company,using [89] manufacturing,company Top Word Pairs in Tweet in G6:
[148] vezes,gente [148] organizei,os [148] né,então [148] gastos,estoura [148] os,gastos [148] perde,gastos [148] oi,jairbolsonaro [148] mil,em [148] gente,perde [148] estoura,cartão Top Word Pairs in Tweet in G7:
[106] power,bi [48] #powerapps,#powerautomate [45] #powerautomate,#powerbi [37] programação,global [36] download,lista [36] os,dias [36] #brazilsfe,#office365 [36] lista,os [36] 2023,programação [36] dias,2023 Top Word Pairs in Tweet in G8:
[18] non,covid [16] dernières,données [16] données,publiées [16] angleterre,excédent [16] aujourd'hui,angleterre [16] excédent,non [16] publiées,aujourd'hui [16] basé,dernières [15] tatiann69922625,basé [5] source,data Top Word Pairs in Tweet in G9:
[76] training,starting [76] 2nd,cohort [76] months,intensive [76] intensive,training [76] cohort,data [76] february,months [76] training,excel [76] starting,february [76] data,analysis [76] analysis,training Top Word Pairs in Tweet in G10:
[88] gt,learn [43] tableau,gt [43] learn,tableau [43] learn,excel [43] excel,gt [43] sql,gt [43] learn,sql [42] thegoldsuite,learn [42] gt,lear [39] power,bi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: