The graph represents a network of 2,645 Twitter users whose tweets in the requested range contained "#salesforce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 October 2020 at 04:11 UTC.
The requested start date was Monday, 19 October 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 8-day, 6-hour, 9-minute period from Thursday, 08 October 2020 at 08:15 UTC to Friday, 16 October 2020 at 14:25 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 : 2645
Unique Edges : 2367
Edges With Duplicates : 12456
Total Edges : 14823
Number of Edge Types : 5
Retweet : 4497
MentionsInRetweet : 6157
Tweet : 2447
Mentions : 1616
Replies to : 106
Self-Loops : 2577
Reciprocated Vertex Pair Ratio : 0.0363065889735545
Reciprocated Edge Ratio : 0.0700692041522491
Connected Components : 287
Single-Vertex Connected Components : 194
Maximum Vertices in a Connected Component : 2194
Maximum Edges in a Connected Component : 14187
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.051225
Graph Density : 0.000661196731766328
Modularity : 0.254037
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,645 Twitter users whose tweets in the requested range contained "#salesforce", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 October 2020 at 04:11 UTC.
The requested start date was Monday, 19 October 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 8-day, 6-hour, 9-minute period from Thursday, 08 October 2020 at 08:15 UTC to Friday, 16 October 2020 at 14:25 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 : #salesforce
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:
[339] ãƒ,ム[191] career,guidance [191] guidance,festival [190] vijayawada,career [140] #salesforce,#crm [132] #startdevchange,#technology [130] #salesforce,salesforce [130] festival,#vcgf20 [130] #technology,#linkedin [128] #byju's,#whitehatjr Top Word Pairs in Tweet in G1:
[87] #crm,#marketing [78] #marketing,#customer [76] #customer,#inc [71] #inc,#features [64] #salesforce,#crm [60] #features,#dynamicscrm [49] #salesforce,salesforce [49] #dynamicscrm,#msdync [46] #business,#sales [46] #msdync,#business Top Word Pairs in Tweet in G2:
[174] career,guidance [174] guidance,festival [173] vijayawada,career [117] festival,#vcgf20 [100] go,vijayawada [82] one,day [75] day,go [75] #vcgf20,mark [75] mark,date [75] date,time Top Word Pairs in Tweet in G3:
[75] #salesforce,salesforce [29] back,work [27] #salesforce,#learnsalesforce [19] register,interest [19] customer,success [17] success,story [17] story,utilizing [16] learn,more [16] taken,career [16] career,break Top Word Pairs in Tweet in G4:
[53] ãƒ,ム[46] àª,ઠ[8] sales,cloud [7] covid,19 [7] more,#salesforce [7] data,model [6] desarrollador,#salesforce [6] trial,safyr [5] æ,æ [5] #sales,#salesforce Top Word Pairs in Tweet in G5:
[108] #startdevchange,#technology [106] #technology,#linkedin [87] #byju's,#whitehatjr [82] #whitehatjr,#unacademy [81] #unacademy,#cred [79] #cred,#cricketlive [77] #salesforce,#salesforcedeveloper [74] #cricketlive,#salesforce [70] #salesforcedeveloper,#apex [58] #apex,#salesforcelive Top Word Pairs in Tweet in G6:
[20] happened,became [20] became,published [20] published,author [20] author,#salesforce [20] #salesforce,ecosystem [20] ecosystem,2013 [20] 2013,quest [19] inescapinezka,happened [8] tip,three [7] #salesforce,tip Top Word Pairs in Tweet in G7:
[22] badge,trailhead [16] trailhead,#salesforce [11] #startdevchange,#technology [11] #technology,#linkedin [10] #linkedin,#100daysofcode [9] cloudcrem,#salesforce [8] coaching,tools [8] #salesforce,career [8] #100daysofcode,#html [7] #salesforce,#salesforceadmin Top Word Pairs in Tweet in G8:
[68] world,economic [68] economic,forum [66] #covid19,important [66] important,thread [66] thread,#imperial [66] #imperial,college [66] college,world [66] forum,#wef [66] #wef,#salesforce [65] elleprovocateur,#covid19 Top Word Pairs in Tweet in G9:
[22] #salesforce,#forcetalks [14] know,more [10] guys,lot [10] lot,salesforce [10] salesforce,knowledge [10] knowledge,share [10] share,world [10] world,consider [10] consider,sharing [10] sharing,knowledge Top Word Pairs in Tweet in G10:
[7] check,latest [6] #salesforce,cli [6] cli,scanner [6] scanner,custom [6] custom,#xpath [6] #xpath,rules [6] rules,part [6] part,#salesforcedevs [6] create,campaign [5] blogged,#salesforce 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: