The graph represents a network of 4,729 Twitter users whose recent tweets contained "#INBOUND19", 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 Thursday, 05 September 2019 at 20:32 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 21-minute period from Tuesday, 27 August 2019 at 10:52 UTC to Thursday, 05 September 2019 at 20:13 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 : 4729
Unique Edges : 12219
Edges With Duplicates : 14827
Total Edges : 27046
Self-Loops : 3313
Reciprocated Vertex Pair Ratio : 0.0833704859563085
Reciprocated Edge Ratio : 0.153909465020576
Connected Components : 412
Single-Vertex Connected Components : 357
Maximum Vertices in a Connected Component : 4239
Maximum Edges in a Connected Component : 26357
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.21086
Graph Density : 0.00065209480760788
Modularity : 0.300789
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[510] jennifer,garner [367] inbound,#inbound19 [324] #inbound19,inbound [309] hubspot,#inbound19 [302] don,t [279] #inbound19,#inbound2019 [263] next,week [258] here,#inbound19 [254] dharmesh,#inbound19 [250] check,out Top Word Pairs in Tweet in G1:
[176] hubspot,#inbound19 [164] dharmesh,#inbound19 [113] #inbound19,inbound [104] don,t [97] inbound,#inbound19 [92] check,out [83] #inbound19,#hubspot [81] bhalligan,dharmesh [79] bhalligan,#inbound19 [79] inbound,2019 Top Word Pairs in Tweet in G2:
[94] jennifer,garner [93] take,care [78] roanokemaven,#inbound19 [76] don,t [66] here,#inbound19 [61] #inbound19,inbound [58] inbound,#inbound19 [45] social,media [45] recorded,cloudapp [44] mari,#inbound19 Top Word Pairs in Tweet in G3:
[291] jennifer,garner [146] katiecouric,#inbound19 [105] gilbertliz,#inbound19 [78] love,jennifer [75] family,leave [74] garner,katiecouric [71] s,one [70] inbound,#inbound19 [68] think,s [67] one,thing Top Word Pairs in Tweet in G4:
[92] inbound,#inbound19 [70] thanks,sharing [66] here,#inbound19 [53] glad,here [46] #inbound19,inbound [38] jennifer,garner [36] hubspot,#inbound19 [35] glad,enjoying [34] sharing,#inbound19 [34] enjoy,#inbound19 Top Word Pairs in Tweet in G5:
[16] #inbound19,boston [15] boston,convention [14] convention,exhibition [13] exhibition,center [12] looking,forward [12] hey,#inbound19 [11] jennifer,garner [10] hubspot,#inbound19 [10] boston,#inbound19 [10] #inbound19,hope Top Word Pairs in Tweet in G6:
[42] hubspot,#dubb100 [39] inbound,hubspot [36] #inbound19,inbound [33] stop,booth [33] check,out [27] day,2 [23] chance,win [20] #inbound19,#inbound2019 [20] looking,forward [19] inbound,#inbound19 Top Word Pairs in Tweet in G7:
[40] 3,growth [40] growth,marketing [40] marketing,principles [40] principles,creating [40] creating,unicorn [38] #inbound19,hope [37] hey,#inbound19 [36] 1,15 [35] hope,join [35] wed,sep Top Word Pairs in Tweet in G8:
[132] hey,everybody [132] everybody,heading [132] heading,#inbound19 [132] #inbound19,wanted [132] wanted,hi [132] hi,introduce [132] introduce,myself [132] myself,excited [132] excited,next [132] next,week Top Word Pairs in Tweet in G9:
[21] 7,500 [21] 500,toward [20] toward,#smartbug [20] #smartbug,services [16] here,#inbound19 [14] smartbugs,giving [14] giving,mood [14] mood,want [14] want,give [14] give,7 Top Word Pairs in Tweet in G10:
[9] today,westin [8] jennifer,garner [7] #inbound19,speaking [7] speaking,3 [7] 3,45pm [7] 45pm,today [7] westin,things [7] things,go [7] go,wrong [7] wrong,once 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: