The graph represents a network of 4,726 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 Saturday, 16 November 2019 at 08:04 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 19-minute period from Thursday, 07 November 2019 at 11:05 UTC to Saturday, 16 November 2019 at 07:24 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 : 4726
Unique Edges : 12029
Edges With Duplicates : 10016
Total Edges : 22045
Self-Loops : 2396
Reciprocated Vertex Pair Ratio : 0.0549117624782246
Reciprocated Edge Ratio : 0.104106835152211
Connected Components : 463
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 4101
Maximum Edges in a Connected Component : 21150
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.344803
Graph Density : 0.000623725109548216
Modularity : 0.389075
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,726 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 Saturday, 16 November 2019 at 08:04 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 19-minute period from Thursday, 07 November 2019 at 11:05 UTC to Saturday, 16 November 2019 at 07:24 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:
[738] next,week [681] check,out [404] dreamforce,#df19 [357] learn,more [272] dreamforce,2019 [239] #df19,next [235] #df19,#salesforce [232] san,francisco [215] join,#df19 [208] #df19,#dreamforce2019 Top Word Pairs in Tweet in G1:
[223] check,out [191] next,week [154] dreamforce,#df19 [91] moscone,west [88] learn,more [88] wednesday,november [84] speaking,#df19 [83] join,#df19 [80] #df19,keynote [73] don,t Top Word Pairs in Tweet in G2:
[116] check,out [86] next,week [59] learn,more [50] dreamforce,#df19 [47] dreamforce,2019 [46] looking,forward [39] dreamforce,year [39] headed,dreamforce [37] out,#df19 [36] center,stage Top Word Pairs in Tweet in G3:
[128] learn,salesforce [127] event,year [122] list,#df19 [121] #df19,updates [121] updates,learn [121] salesforce,brings [121] brings,companies [121] companies,customers [121] customers,together [121] together,event Top Word Pairs in Tweet in G4:
[98] next,week [67] check,out [62] dreamforce,#df19 [49] #df19,next [43] #goappirio,#df19 [35] here,s [33] _,_ [33] exciting,new [31] see,#df19 [30] make,sure Top Word Pairs in Tweet in G5:
[102] docusign,agreement [102] agreement,cloud [100] salesforce,#df19 [98] #df19,#dreamforce2019 [93] business,faster [93] faster,greener [93] greener,more [93] more,cost [93] cost,efficiently [93] efficiently,better Top Word Pairs in Tweet in G6:
[41] check,out [39] next,week [31] dreamforce,2019 [23] #df19,learn [20] now,vonage [18] #df19,see [18] learn,more [17] dreamforce,#df19 [17] #df19,#salesforce [17] learn,help Top Word Pairs in Tweet in G7:
[41] next,week [32] integration,keynote [25] booth,#1630 [25] commerce,keynote [23] mulesoft,s [21] panel,discussion [21] headed,#df19 [21] check,out [21] join,mulesoft [20] more,info Top Word Pairs in Tweet in G8:
[22] add,agenda [22] learn,more [20] #salesforce,data [19] next,week [19] check,out [18] #df19,learn [15] going,#df19 [15] san,francisco [13] best,practices [13] speaking,#df19 Top Word Pairs in Tweet in G9:
[18] follow,twitter [14] sellingtools,#df19 [14] 20,follow [14] twitter,dreamforce [13] great,list [13] follow,dreamforce [13] dreamforce,sellingtools [13] #df19,#salesenablementsoiree [12] list,speakers [12] speakers,vendors Top Word Pairs in Tweet in G10:
[47] #oow19,#oow [35] redthreadre,staciagarr [35] staciagarr,aladamsen [35] aladamsen,david_green_uk [35] staciagarr,redthreadre [31] david_green_uk,#pafow [29] #pafow,staciagarr [29] redthreadre,findings [26] daigosweden,david_green_uk [26] david_green_uk,myhrfuture Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: