The graph represents a network of 3,638 Twitter users whose recent tweets contained "#df19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 08:26 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 45-minute period from Monday, 04 November 2019 at 14:28 UTC to Wednesday, 13 November 2019 at 08:13 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 : 3638
Unique Edges : 8871
Edges With Duplicates : 7089
Total Edges : 15960
Self-Loops : 1624
Reciprocated Vertex Pair Ratio : 0.0554521001448376
Reciprocated Edge Ratio : 0.105077435796903
Connected Components : 336
Single-Vertex Connected Components : 263
Maximum Vertices in a Connected Component : 3145
Maximum Edges in a Connected Component : 15228
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.365279
Graph Density : 0.000771044286601137
Modularity : 0.403169
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,638 Twitter users whose recent tweets contained "#df19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 13 November 2019 at 08:26 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 45-minute period from Monday, 04 November 2019 at 14:28 UTC to Wednesday, 13 November 2019 at 08:13 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 : #df19
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[428] check,out [305] dreamforce,#df19 [282] next,week [272] learn,more [242] event,year [233] list,#df19 [223] learn,salesforce [219] #df19,updates [214] brings,companies [214] companies,customers Top Word Pairs in Tweet in G1:
[140] check,out [121] dreamforce,#df19 [103] next,week [75] agenda,builder [74] future,takes [70] center,stage [69] #appy,#df19 [69] takes,center [65] don,t [63] learn,more Top Word Pairs in Tweet in G2:
[93] check,out [51] b2b,marketer's [40] heading,#df19 [37] dreamforce,#df19 [37] new,ceo [37] learn,more [37] ceo,adamblitzer [36] #df19,beyond [36] blue,b2b [35] drumroll,please Top Word Pairs in Tweet in G3:
[177] event,year [175] learn,salesforce [173] list,#df19 [171] #df19,updates [171] brings,companies [171] companies,customers [171] customers,together [171] together,event [169] updates,learn [169] salesforce,brings Top Word Pairs in Tweet in G4:
[30] check,out [23] book,time [22] #df19,see [21] time,meet [18] welcome,reception [17] tuesday,november [17] november,19 [16] 70,digital [16] digital,transformations [16] transformations,fail Top Word Pairs in Tweet in G5:
[78] #smb,keynote [53] someone,need [50] meal,someone [42] donate,meal [41] #df19,#smb [38] einstein,analytics [38] attending,#df19 [37] joins,shares [36] shares,livestream [35] https,t Top Word Pairs in Tweet in G6:
[50] #oow19,#oow [39] dreamforce,2019 [39] attending,#df19 [35] redthreadre,staciagarr [35] staciagarr,aladamsen [35] aladamsen,david_green_uk [35] staciagarr,redthreadre [32] #dreamforce,#df19 [31] david_green_uk,#pafow [29] #pafow,staciagarr Top Word Pairs in Tweet in G7:
[129] salesforce,#df19 [128] business,faster [128] faster,greener [128] greener,more [128] more,cost [128] cost,efficiently [128] efficiently,better [128] better,experience [128] experience,customers [128] customers,employees Top Word Pairs in Tweet in G8:
[33] celebrate,vibrant [33] vibrant,connections [27] idealistconsult,iatspayments [27] iatspayments,soapboxengage [20] 11,21 [20] proceeds,donated [20] dreamforce,#df19 [18] register,today [18] #amplifydf19,#amplifyconnect [18] #amplifyconnect,#df19 Top Word Pairs in Tweet in G9:
[24] learn,more [17] vonage,#df19 [17] maximize,experience [16] see,vonage [16] #df19,maximize [16] experience,#salesforce [16] #salesforce,#dreamforce [16] #dreamforce,hear [16] hear,vonage [16] vonage,#ceo Top Word Pairs in Tweet in G10:
[12] check,out [12] #salesforce,#mobile [10] mobile,app [9] speaking,#df19 [8] #df19,learn [8] new,dreamforce [8] dreamforce,mobile [8] app,absolutely [8] absolutely,amazing [8] amazing,check Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: