The graph represents a network of 2,605 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, 26 December 2022 at 05:43 UTC.
The requested start date was Monday, 26 December 2022 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 13-day, 9-hour, 34-minute period from Monday, 12 December 2022 at 01:16 UTC to Sunday, 25 December 2022 at 10:51 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 : 2605
Unique Edges : 1866
Edges With Duplicates : 8169
Total Edges : 10035
Number of Edge Types : 5
Retweet : 2181
MentionsInRetweet : 2721
Tweet : 3489
Mentions : 1570
Replies to : 74
Self-Loops : 3618
Reciprocated Vertex Pair Ratio : 0.0459862847922549
Reciprocated Edge Ratio : 0.0879290397223293
Connected Components : 995
Single-Vertex Connected Components : 763
Maximum Vertices in a Connected Component : 1169
Maximum Edges in a Connected Component : 6663
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.882191
Graph Density : 0.000382255558405642
Modularity : 0.273087
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,605 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, 26 December 2022 at 05:43 UTC.
The requested start date was Monday, 26 December 2022 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 13-day, 9-hour, 34-minute period from Monday, 12 December 2022 at 01:16 UTC to Sunday, 25 December 2022 at 10:51 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:
[245] passle,timothy_hughes [201] #sales,#salestips [194] #socialselling,#digitalselling [185] #salestips,#salesleader [183] dlaignite,#socialselling [164] #digitalselling,#sales [154] timothy_hughes,dlaignite [143] nueva,oportunidad [141] oportunidad,empleo [141] #empleo,#trabajo Top Word Pairs in Tweet in G1:
[78] #salesforce,crm [71] #layoffs,#layoff [53] #burlington,#austin [53] #oracle,#layoffs [53] #bangalore,#burlington [53] #layoff,#thelayoff [53] #thelayoff,#bangalore [53] msft,ibm [53] crm,msft [51] orcl,#oracle Top Word Pairs in Tweet in G2:
[30] #trailblazercommunity,#salesforce [19] #salesforce,#ohana [14] anmol_verma__c,kailash_sfdc [14] kailash_sfdc,dehradunsfgroup [13] set,reminder [13] 12,14 [13] reminder,upcoming [13] rlvanessagrant,back [13] 30pm,pst [13] pst,30pm Top Word Pairs in Tweet in G3:
[66] #salesforce,#slack [64] step,down [64] january,#salesforce [64] slack,step [64] down,january [25] salesforce,#salesforce [25] dell,boomi [22] #crm,#cloud [21] salesforce,salesforcedevs [20] boomi,salesforce Top Word Pairs in Tweet in G4:
[29] #trailblazercommunity,#salesforce [25] event,monitoring [23] salesforce,security [23] arigachetta,pvardhanp [22] time,event [22] group,pardot [22] monitoring,salesforce [22] salesforce,marketer [22] pardot,vijayawada [22] vijayawada,india Top Word Pairs in Tweet in G5:
[73] enjoy,#salesforce [73] video,reel [73] reel,enjoy [73] comedy,commercial [73] commercial,video [70] salesforce,comedy [69] ikewagh,salesforce [3] ',see [3] 13,january [3] ikewagh,'salesforce Top Word Pairs in Tweet in G6:
[141] #empleo,#trabajo [141] oportunidad,empleo [141] nueva,oportunidad [121] #trabajo,#salesforce [96] empleo,salesforce [81] #hr,#payroll [81] #payroll,#humanresources [66] #humanresources,#startup [61] consultant,#empleo [61] #salesforce,#finanzas Top Word Pairs in Tweet in G7:
[29] san,francisco [28] #tdx23,#mulesoft [28] francisco,march [28] talking,over [28] mark,calendars [28] #mulesoft,talking [28] calling,muleys [28] over,san [28] time,mark [28] calendars,#tdx23 Top Word Pairs in Tweet in G8:
[9] softclouds,#salesforce [7] #cloud,#crm [6] #cloud,full [6] #salesforce,expand [6] esg,reporting [6] reporting,tool [6] full,esg [6] case,study [6] sustainability,#cloud [6] tool,terenceleungsf Top Word Pairs in Tweet in G9:
[243] passle,timothy_hughes [194] #socialselling,#digitalselling [186] #sales,#salestips [185] #salestips,#salesleader [183] dlaignite,#socialselling [164] #digitalselling,#sales [154] timothy_hughes,dlaignite [93] social,selling [85] #salesleader,#salesforce [54] #salestraining,#salesforce Top Word Pairs in Tweet in G10:
[14] hard,work [14] hammering,api [14] elves,hard [14] user,license [14] license,solution [14] more,secure [14] api,user [14] #salesforce,elves [14] solution,support [14] work,hammering Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: