The graph represents a network of 251 Twitter users whose tweets in the requested range contained "sqlpass", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 04:45 UTC.
The requested start date was Sunday, 13 September 2020 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, 5-hour, 44-minute period from Sunday, 30 August 2020 at 13:52 UTC to Friday, 11 September 2020 at 19:36 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 : 251
Unique Edges : 294
Edges With Duplicates : 702
Total Edges : 996
Number of Edge Types : 5
Retweet : 232
MentionsInRetweet : 353
Mentions : 282
Replies to : 59
Tweet : 70
Self-Loops : 70
Reciprocated Vertex Pair Ratio : 0.148491879350348
Reciprocated Edge Ratio : 0.258585858585859
Connected Components : 19
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 215
Maximum Edges in a Connected Component : 950
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.091266
Graph Density : 0.00788844621513944
Modularity : 0.29674
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 251 Twitter users whose tweets in the requested range contained "sqlpass", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 04:45 UTC.
The requested start date was Sunday, 13 September 2020 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, 5-hour, 44-minute period from Sunday, 30 August 2020 at 13:52 UTC to Friday, 11 September 2020 at 19:36 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 : sqlpass
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:
[43] sql,server [36] cc,sqlpass [33] #sqlpass,cc [21] #passsummit,2020 [21] join,community [18] register,today [17] yatessql,join [16] learn,sqlpass [16] sqlpass,pro [16] pro,membership Top Word Pairs in Tweet in G1:
[36] cc,sqlpass [33] #sqlpass,cc [24] sql,server [17] register,today [13] today,#sqlpass [10] virtual,#passsummit [10] big,data [9] year's,#passsummit [9] #passsummit,#sqlpass [8] yatessql,join Top Word Pairs in Tweet in G2:
[13] #passsummit,2020 [12] join,community [11] learn,sqlpass [11] sqlpass,pro [11] pro,membership [11] membership,join [11] community,#azuresql [11] #azuresql,professionals [11] professionals,access [11] access,training Top Word Pairs in Tweet in G3:
[16] die,neue [15] neue,folge [9] passfruehstueck,die [9] cc,#sqlpass_de [7] live,waiting [7] waiting,submission [7] submission,#sqlsatvienna [7] #sqlsatvienna,2021 [7] 2021,going [7] going,virtual Top Word Pairs in Tweet in G4:
[6] mmarie,sqlpass [5] well,cool [5] cool,news [5] news,purestorage [5] purestorage,excited [5] excited,collaborate [5] collaborate,closely [5] closely,sqlpass [5] sqlpass,community [5] community,first Top Word Pairs in Tweet in G5:
[6] code,vgdism843 [6] sqlpass,dbafun [6] dbafun,#downunder [5] free,hour [5] hour,session [4] use,code [4] vgdism843,receive [4] receive,50 [4] 50,00 [4] 00,discount Top Word Pairs in Tweet in G6:
[2] canadian,blogger [2] blogger,sqlperformance [2] sql,server [2] #sqlserver,#sqlpass Top Word Pairs in Tweet in G7:
[2] sqlpass,erinstellato [2] erinstellato,lisagb_sql [2] lisagb_sql,codenamesql [2] codenamesql,_randolph_west [2] _randolph_west,sqlrunr [2] sqlrunr,oskaruth [2] oskaruth,congrats Top Word Pairs in Tweet in G8:
[3] top,10 [3] 10,mistakes [3] mistakes,leaders [2] sqlpass,#passsummit [2] #passsummit,2020 [2] 2020,speaker [2] speaker,idol [2] idol,applications [2] applications,close [2] close,today Top Word Pairs in Tweet in G9:
[5] invitamos,participar [5] participar,#sqlsaturday [5] #sqlsaturday,evento [5] evento,expertos [5] expertos,diferentes [5] diferentes,países [5] países,reúnen [5] reúnen,compartir [4] conexion_sv,invitamos [4] compartir,conocimi Top Word Pairs in Tweet in G10:
[4] happy,announce [4] announce,call [4] call,speakers [4] speakers,#sgsqlpass [4] #sgsqlpass,#datasessions [4] #datasessions,#season2 [4] #season2,back [4] back,back [4] back,sessions [4] sessions,oct 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 Replied-To in G7:
Top Replied-To in G8:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: