The graph represents a network of 2,743 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 05:36 UTC.
The tweets in the network were tweeted over the 2489-day, 8-hour, 40-minute period from Wednesday, 16 March 2016 at 16:12 UTC to Monday, 09 January 2023 at 00:52 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 : 2743
Unique Edges : 1739
Edges With Duplicates : 6313
Total Edges : 8052
Number of Edge Types : 9
Tweet : 2612
Retweet : 1752
MentionsInRetweet : 2125
Mentions : 1047
Replies to : 168
MentionsInReplyTo : 135
Quote : 149
MentionsInQuote : 61
MentionsInQuoteReply : 3
Self-Loops : 3212
Reciprocated Vertex Pair Ratio : 0.0306893295561851
Reciprocated Edge Ratio : 0.059551076500229
Connected Components : 1038
Single-Vertex Connected Components : 805
Maximum Vertices in a Connected Component : 949
Maximum Edges in a Connected Component : 4228
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.674963
Graph Density : 0.000290242146776105
Modularity : 0.321554
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,743 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 05:36 UTC.
The tweets in the network were tweeted over the 2489-day, 8-hour, 40-minute period from Wednesday, 16 March 2016 at 16:12 UTC to Monday, 09 January 2023 at 00:52 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:
[288] #salesforce,#crm [168] #salesforce,crm [153] salesforce,stock [150] #ces,#salesforce [150] #ces2023,#ces [149] hires,#salesforce [148] crm,increases [148] ceo,complains [148] stock,crm [148] complains,many Top Word Pairs in Tweet in G1:
[134] #salesforce,crm [131] #layoffs,#layoff [93] #layoff,#jobcuts [93] #thelayoff,#layoffs [93] #consulting,#enterprisesoftware [93] #sanfrancisco,#california [93] #enterprisesoftware,#thelayoff [93] #cloudcomputing,#consulting [93] #jobcuts,#rifs [93] #california,#cloudcomputing Top Word Pairs in Tweet in G2:
[21] #remote,#developers [19] #developers,#reactjs [19] #crm,#cloud [18] salesforce,#salesforce [18] #reactjs,#nodejs [17] free,trial [17] trial,today [17] start,free [15] '23,release [15] spring,'23 Top Word Pairs in Tweet in G3:
[148] salesforce,stock [148] ceo,complains [148] many,hires [148] complains,many [148] #salesforce,#crm [148] increases,ceo [148] stock,crm [148] crm,increases [148] hires,#salesforce [147] #crm,#s Top Word Pairs in Tweet in G4:
[55] hiring,salesforce [55] 40,employers [55] employers,hiring [55] list,40 [55] salesforce,talents [50] based,last [50] data,based [49] last,24 [49] hours',public [48] talents,data Top Word Pairs in Tweet in G5:
[150] #ces2023,#ces [150] #ces,#salesforce [89] #salesforce,#shrm [87] #csuite,#csr [87] #shrm,#csuite [71] #startup,#startups [64] #ai,#healthtech [64] #business,#ai [59] #salesforce,#dreamforce [58] #remote,#developers Top Word Pairs in Tweet in G6:
[47] step,down [47] slack,step [47] down,january [47] #salesforce,#slack [47] january,#salesforce [21] rise,power [21] mccarthy,business [21] kevin,mccarthy [21] #alameda,#amazon [21] complicate,rise Top Word Pairs in Tweet in G7:
[143] apply,#salesforce [142] #remote,#contract [142] #salesforce,#job [142] #contract,#freelancer [142] #job,#remote [74] united,states [74] states,apply [74] location,united [64] title,salesforce [37] true,#salesforce Top Word Pairs in Tweet in G8:
[63] #emailmarketing,#emails [63] #businessproposal,#business [63] business,2023 [63] 2023,#businessproposal [63] digital,business [63] grow,digital [63] #emails,#leads [63] #business,#emailmarketing [62] yacinebvb15,grow Top Word Pairs in Tweet in G9:
[18] ve,seen [18] tone,deaf [18] beyond,tone [18] call,ve [18] held,worst [18] worst,#salesforce [18] hands,call [18] #salesforce,hands [17] seen,beyond [16] questions,answered Top Word Pairs in Tweet in G10:
[12] #salesforce,#hiring [11] #atmanirbharbharat,#buildingnewindia [11] #makeinindia,#atmanirbharbharat [11] #hiring,#proudindianbrand [11] #buildingnewindia,#msme [11] salesforce,developer [11] #homeappliances,#security [11] #proudindianbrand,#makeinindia [11] #msme,#homeappliances [11] #security,#salesforce Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: