The graph represents a network of 3,014 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, 02 November 2020 at 04:12 UTC.
The requested start date was Monday, 02 November 2020 at 01:01 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 10-day, 15-hour, 21-minute period from Wednesday, 21 October 2020 at 22:55 UTC to Sunday, 01 November 2020 at 14:17 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 : 3014
Unique Edges : 2309
Edges With Duplicates : 11766
Total Edges : 14075
Number of Edge Types : 5
Retweet : 4327
MentionsInRetweet : 5565
Tweet : 2498
Mentions : 1603
Replies to : 82
Self-Loops : 2601
Reciprocated Vertex Pair Ratio : 0.0218300046446818
Reciprocated Edge Ratio : 0.0427272727272727
Connected Components : 316
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 2553
Maximum Edges in a Connected Component : 13439
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.153303
Graph Density : 0.000484518425024408
Modularity : 0.267575
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,014 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, 02 November 2020 at 04:12 UTC.
The requested start date was Monday, 02 November 2020 at 01:01 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 10-day, 15-hour, 21-minute period from Wednesday, 21 October 2020 at 22:55 UTC to Sunday, 01 November 2020 at 14:17 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:
[259] world,economic [254] marc,benioff [249] founder,ceo [240] board,trustees [238] benioff,founder [235] ceo,#salesforce [227] economic,forum [224] #salesforce,benioff [220] #time,owned [220] owned,marc Top Word Pairs in Tweet in G1:
[59] #crm,#marketing [54] #marketing,#customer [50] read,more [50] #customer,#inc [46] #inc,#crmfeatures [42] #salesforce,salesforce [41] #salesforce,#crm [41] #crmfeatures,#dynamicscrm [37] salesforce,einstein [36] #dynamicscrm,#msdync Top Word Pairs in Tweet in G2:
[51] badge,trailhead [44] 乳がんの早期発見,早期治療 [40] #sfdev_trichy,kumaresan_in [38] #salesforce,#trailblazercommunity [37] #salesforce,#sfdc [32] #cloudvandana,#salesforce [31] 毎年10月は,#ピンクリボン月間 [31] #ピンクリボン月間,#salesforce [31] #salesforce,ではwomen's [31] ではwomen's,networkとして Top Word Pairs in Tweet in G3:
[236] marc,benioff [234] founder,ceo [233] benioff,founder [227] world,economic [226] ceo,#salesforce [225] board,trustees [216] #time,owned [216] owned,marc [216] #salesforce,benioff [216] benioff,member Top Word Pairs in Tweet in G4:
[10] teespring,leading [10] leading,social [10] social,commerce [10] commerce,platform [10] platform,creating [10] creating,selling [10] selling,custom [10] custom,products [10] products,online [10] online,products Top Word Pairs in Tweet in G5:
[100] #salesforce,salesforce [29] #salesforcedaily,daily [29] daily,tip [29] category,salesforce [20] jollypaarth,#salesforcedaily [20] #salesforce,career [20] hands,low [20] low,code [20] code,application [20] application,development Top Word Pairs in Tweet in G6:
[77] #salesforce,#セールスフォース [77] #salesforce,#youtuber [76] #youtuber,#vlog [71] #セールスフォース,#youtube [71] #vlog,#youtube始めました [66] youtubeより,#salesforce [62] #youtube,#youtubeチャンネル登録 [59] #youtubeチャンネル登録,#nocode [57] #nocode,#youtubeはじめました [36] #salesforce,#microsoft Top Word Pairs in Tweet in G7:
[14] #crm,#cloud [12] #salesforce,#accounting [12] #accounting,#crm [11] winter,'21 [11] '21,release [10] start,free [10] free,trial [10] trial,today [10] today,#zumzumfinancials [10] #zumzumfinancials,#salesforce Top Word Pairs in Tweet in G8:
[22] year,2020 [17] cloud,telephony [17] telephony,product [17] product,year [12] 3rd,consecutive [12] consecutive,year [12] year,winner [12] winner,cloud [12] 2020,#natterbox [12] #natterbox,find Top Word Pairs in Tweet in G9:
[10] rsvp,soon [10] soon,hands [10] hands,lwc [10] lwc,chance [10] chance,win [10] win,salesforce [10] salesforce,swags [10] swags,31st [10] 31st,oct [10] oct,2020 Top Word Pairs in Tweet in G10:
[11] #salesforce,#digitaltransformation [7] #digitaltransformation,#awesomeadmin [7] #awesomeadmin,feel [6] feel,free [6] free,ask [6] ask,questions [6] questions,salesforce [6] know,more [4] salesforce,integration [4] boost,sales 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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 G6:
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: