The graph represents a network of 2,262 Twitter users whose recent tweets contained "#salesforce", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 05:36 UTC.
The tweets in the network were tweeted over the 963-day, 13-hour, 18-minute period from Wednesday, 24 June 2020 at 11:41 UTC to Monday, 13 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2262
Unique Edges : 1508
Edges With Duplicates : 6369
Total Edges : 7877
Number of Edge Types : 8
Tweet : 2849
Retweet : 1463
MentionsInRetweet : 1885
Mentions : 1187
Quote : 152
Replies to : 143
MentionsInReplyTo : 160
MentionsInQuote : 38
Self-Loops : 3520
Reciprocated Vertex Pair Ratio : 0.0431177446102819
Reciprocated Edge Ratio : 0.082670906200318
Connected Components : 930
Single-Vertex Connected Components : 734
Maximum Vertices in a Connected Component : 843
Maximum Edges in a Connected Component : 4670
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.410809
Graph Density : 0.000368959534113799
Modularity : 0.281754
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,262 Twitter users whose recent tweets contained "#salesforce", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 05:36 UTC.
The tweets in the network were tweeted over the 963-day, 13-hour, 18-minute period from Wednesday, 24 June 2020 at 11:41 UTC to Monday, 13 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[231] crms,automation [231] integrations,comparison [231] best,crms [231] automation,integrations [196] #salesforce,#sales [169] passle,timothy_hughes [115] timothy_hughes,dlaignite [113] favorite,work [113] apps,automations [113] work,apps Top Word Pairs in Tweet in G1:
[186] automation,integrations [186] crms,automation [186] integrations,comparison [186] best,crms [106] #salesforce,#sales [95] level,favorite [95] work,apps [95] favorite,work [95] apps,automations [79] #システムエンジニア,#salesforce Top Word Pairs in Tweet in G2:
[97] badge,trailhead [65] trailhead,#salesforce [40] lay,10 [40] cut,office [40] 10,staff [40] space,#salesforce [40] salesforce,lay [40] staff,cut [40] office,space [29] superbadge,unit Top Word Pairs in Tweet in G3:
[17] learn,more [12] salesforce,partnerforce [11] partnerforce,#salesforce [11] #salesforce,#crm [9] faster,more [9] #crm,#cloud [9] shared,blog [9] lwc,using [9] head,link [8] conditional,rendering Top Word Pairs in Tweet in G4:
[15] meighansf,good [15] friend,more [15] true,sense [15] leader,architect [15] good,friend [15] woman,leader [15] strong,woman [15] architect,par [15] mvp,true [15] more,mvp Top Word Pairs in Tweet in G5:
[29] #salesforce,#sales [18] salesforce,daily [18] registrations,left [15] learn,more [15] actionable,data [15] game,changer [15] changer,right [15] clean,actionable [13] #salesforce,backup [12] daily,stories Top Word Pairs in Tweet in G6:
[90] #salesforce,#csr [79] #csuite,#salesforce [78] #csr,#hrtech [78] #esg,#csuite [78] #corpgov,#esg [73] #data4good,#datascience [55] #futureofwork,#hr [55] #finserv,#futureofwork [55] #hrtech,#finserv [54] #microsoft,#chatgpt Top Word Pairs in Tweet in G7:
[56] #remote,#developers [55] #reactjs,#nodejs [54] cv,files [54] #developers,#reactjs [49] #nodejs,#nodejsdeveloper [49] #nodejsdeveloper,#java [46] #java,#python [45] #salesforce,#cloud [44] #php,#salesforce [44] #python,#laravel Top Word Pairs in Tweet in G8:
[45] #trailblazer,#trailhead [42] #salesforce,#ohana [42] #ohana,#trailblazer [38] #job,#advice [38] #best,#salesforce [38] #career,#careers [38] #careers,#job [38] #advice,#best [37] #trailhead,#admin [37] #admin,#admins Top Word Pairs in Tweet in G9:
[23] white,lake [23] lake,fishing [23] offers,society6 [23] fishing,pier [23] discover,sales [23] print,black [23] art,store [23] ft,framed [23] society6,art [23] sales,offers Top Word Pairs in Tweet in G10:
[17] 20,biggest [17] america,20 [11] #techlayoffs,2020 [11] biggest,#techlayoffs [11] 2020,stratorob [11] #tech,sector's [11] sector's,big [11] big,swings [11] swings,america [10] shi4tech,#tech 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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: