The graph represents a network of 1,830 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 20,000 tweets, tweeted between 11/8/2022 4:59:29 PM and 11/15/2022 4:59:29 PM. The network was obtained from Twitter on Tuesday, 15 November 2022 at 16:04 UTC.
The tweets in the network were tweeted over the 734-day, 1-hour, 28-minute period from Wednesday, 11 November 2020 at 14:30 UTC to Tuesday, 15 November 2022 at 15:58 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.
[480] data
[261] microsoft
[246] power
[234] bi
[151] business
[120] platform
[99] mvp
[92] analyst
[90] #powerbi
[76] consultant
[12] data
[9] datos
[8] phd
[8] ingeniero
[7] salud
[7] tecnología
[7] lic
[6] sistemas
[6] science
[6] social
[115] data
[81] bi
[65] power
[49] microsoft
[26] business
[24] consultant
[23] platform
[23] intelligence
[22] #powerbi
[22] mvp
[67] data
[39] microsoft
[27] business
[26] solutions
[23] power
[23] bi
[16] analytics
[14] services
[13] partner
[13] #powerbi
[42] data
[41] microsoft
[35] power
[20] business
[18] bi
[17] platform
[13] sql
[13] 365
[11] dynamics
[11] excel
[54] data
[20] power
[18] bi
[18] microsoft
[16] business
[15] bot
[14] analyst
[13] python
[13] software
[11] platform
[21] data
[19] power
[15] microsoft
[13] bi
[12] business
[8] solutions
[7] tech
[5] #powerbi
[5] sharepoint
[5] time
[44] data
[34] bi
[30] power
[22] microsoft
[19] platform
[18] mvp
[16] #powerbi
[10] business
[10] consultant
[9] analyst
[12] security
[6] tweets
[6] cyber
[6] threat
[5] #infosec
[5] consultant
[5] #threathunting
[4] infosec
[4] researcher
[4] views
[5] engineer
[4] microsoft
[4] enthusiast
[4] data
[4] follow
[3] #powerbi
[3] bi
[3] #cinema
[3] proud
[2] addicted
[18] data
[11] analyst
[4] fan
[3] engineer
[3] enthusiast
[3] follow
[2] lead
[2] love
[2] check
[2] sql
[161] power,bi
[63] data,platform
[63] data,analyst
[57] business,intelligence
[43] power,platform
[36] microsoft,mvp
[34] platform,mvp
[33] data,science
[29] microsoft,data
[25] data,analytics
[5] machine,learning
[4] data,science
[3] uma,boa
[3] phd,student
[2] lic,matemáticas
[2] tecnología,salud
[2] explainable,ai
[2] ciencia,tecnología
[2] ingeniero,agrónomo
[2] análisis,datos
[54] power,bi
[19] business,intelligence
[18] data,platform
[11] platform,mvp
[9] data,engineer
[9] microsoft,data
[8] data,analyst
[8] user,group
[7] program,manager
[7] microsoft,mvp
[14] power,bi
[7] data,science
[7] business,intelligence
[7] data,analytics
[6] microsoft,dynamics
[6] dynamics,365
[6] data,analysis
[6] power,platform
[5] data,analyst
[5] microsoft,mvp
[13] power,bi
[12] power,platform
[7] dynamics,365
[6] sql,server
[6] microsoft,dynamics
[5] data,science
[5] husband,father
[5] power,apps
[4] solution,architect
[4] business,central
[15] power,bi
[10] data,analyst
[9] data,platform
[6] platform,mvp
[5] sql,server
[5] business,intelligence
[5] machine,learning
[4] microsoft,data
[3] bi,azure
[3] udemy,coupons
[11] power,bi
[3] business,intelligence
[2] bi,power
[2] software,solutions
[2] power,apps
[2] bi,tableau
[2] content,creator
[2] sharepoint,2019
[2] sharepoint,online
[2] office,365
[23] power,bi
[15] data,platform
[8] platform,mvp
[8] microsoft,data
[7] microsoft,mvp
[5] data,analyst
[4] power,query
[4] business,intelligence
[3] ug,leader
[3] bi,power
[5] cyber,security
[2] #cti,#threathunting
[2] security,enthusiast
[2] isc,handler
[2] co,organizer
[2] microsoft,mvp
[2] husband,father
[2] #infosec,#cybersecurity
[2] microsoft,mvp
[2] #cinema,#cinema
[2] follow,back
[2] lost,follow
[2] data,visualization
[11] data,analyst
[2] bi,data
[2] man,utd
Author Description
Vertices : 1830
Unique Edges : 1087
Edges With Duplicates : 7636
Total Edges : 8723
Number of Edge Types : 9
Retweet : 2916
MentionsInRetweet : 3424
Tweet : 1734
Mentions : 430
Replies to : 82
MentionsInReplyTo : 67
Quote : 52
MentionsInQuote : 17
MentionsInQuoteReply : 1
Self-Loops : 2010
Reciprocated Vertex Pair Ratio : 0.0245587106676899
Reciprocated Edge Ratio : 0.047940074906367
Connected Components : 285
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 1427
Maximum Edges in a Connected Component : 8112
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.353136
Graph Density : 0.000797712626267153
Modularity : 0.275412
NodeXL Version : 1.0.1.507
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=284503
Data Import : The graph represents a network of 1,830 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 20,000 tweets, tweeted between 11/8/2022 4:59:29 PM and 11/15/2022 4:59:29 PM. The network was obtained from Twitter on Tuesday, 15 November 2022 at 16:04 UTC.
The tweets in the network were tweeted over the 734-day, 1-hour, 28-minute period from Wednesday, 11 November 2020 at 14:30 UTC to Tuesday, 15 November 2022 at 15:58 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 : In-Degree
Top Domains
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Top Tweeters in Entire Graph:
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