The graph represents a network of 3,066 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, 21 March 2022 at 04:37 UTC.
The requested start date was Monday, 21 March 2022 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 12-day, 17-hour, 27-minute period from Monday, 07 March 2022 at 17:11 UTC to Sunday, 20 March 2022 at 10:38 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 : 3066
Unique Edges : 3407
Edges With Duplicates : 13120
Total Edges : 16527
Number of Edge Types : 5
Mentions : 2385
MentionsInRetweet : 7263
Retweet : 3285
Replies to : 208
Tweet : 3386
Self-Loops : 3661
Reciprocated Vertex Pair Ratio : 0.0386717108028583
Reciprocated Edge Ratio : 0.0744637798462161
Connected Components : 929
Single-Vertex Connected Components : 688
Maximum Vertices in a Connected Component : 1656
Maximum Edges in a Connected Component : 13866
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.615918
Graph Density : 0.000525896295634167
Modularity : 0.27615
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,066 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, 21 March 2022 at 04:37 UTC.
The requested start date was Monday, 21 March 2022 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 12-day, 17-hour, 27-minute period from Monday, 07 March 2022 at 17:11 UTC to Sunday, 20 March 2022 at 10:38 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:
[484] #salesforce,#crm [317] passle,timothy_hughes [244] #crm,#sfdc [233] #sfdc,#trailhead [228] #trailhead,#salesforcejobs [226] #hiring,#jobs [225] #hr,#hiring [224] #salesforcejobs,#itjobs [223] #itjobs,#it [223] #it,#jobopening Top Word Pairs in Tweet in G1:
[69] brazil,sfe [69] sfe,#brand [69] #brand,#crm [69] #crm,#cx [69] #cx,#digitalchannels [69] #digitalchannels,#health [69] #health,#indústriafarmacêutica [69] #indústriafarmacêutica,#marca [69] #marca,#multichannel [69] #multichannel,#patientjourney Top Word Pairs in Tweet in G2:
[222] #datascientist,#cloud [222] #women,#ehealth [222] #ehealth,#ces2023 [222] #ces2023,#finserv [218] #cx,#women [183] #corpgov,#csr [180] #finserv,#fashiontech [173] #hranalytics,#corpgov [151] chidambara09,#datascientist [151] #cloud,#digital Top Word Pairs in Tweet in G3:
[34] #salesforce,#crm [30] head,link [25] #crm,#cloud [24] partnerforce,salesforcenews [19] learn,more [19] salesforce,#salesforce [17] salesforcenews,salesforceorg [16] headincloudinc,learn [15] net,zero [15] zero,cloud Top Word Pairs in Tweet in G4:
[16] #salesforce,tip [16] tip,week [14] wait,see [13] tip,one [13] tip,two [13] tip,three [12] hello,everyone [12] everyone,save [12] save,date [12] date,22 Top Word Pairs in Tweet in G5:
[18] lwc,stack [18] #salesforce,#youtuber [18] salesforce,認定 [18] 認定,platform [18] platform,アプリケーションビルダー試験対策 [16] #salesforce,#salesforce使い方 [16] #salesforce使い方,#セールスフォース [15] #youtuber,#nocode [14] #nocode,#youtube始めました [13] #salesforce,data Top Word Pairs in Tweet in G6:
[317] passle,timothy_hughes [203] dlaignite,#socialselling [199] #socialselling,#digitalselling [163] timothy_hughes,dlaignite [157] #salestips,#salesleader [151] #salesleader,#salesenablement [119] social,selling [115] #sales,#salestips [80] selling,passle [77] #salesenablement,#salesforce Top Word Pairs in Tweet in G7:
[27] #digitaltransformation,#apple [27] #apple,#alphabet [26] #alphabet,#amazon [26] #amazon,#microsoft [26] #microsoft,#samsung [26] #samsung,#ibm [26] #ibm,#infosys [26] #infosys,#accenture [26] #accenture,#tesla [26] #tesla,#cisco Top Word Pairs in Tweet in G8:
[283] #salesforce,#crm [225] #crm,#sfdc [225] #sfdc,#trailhead [224] #hiring,#jobs [223] #trailhead,#salesforcejobs [223] #salesforcejobs,#itjobs [223] #itjobs,#it [223] #it,#jobopening [223] #jobopening,#jobopportunities [223] #jobopportunities,#jobposting Top Word Pairs in Tweet in G9:
[10] hope,month [10] month,15 [10] 15,gemsintech [10] gemsintech,members [10] members,tech [10] tech,job [10] job,offers [10] offers,excited [10] excited,volunteers [9] charisevl,hope Top Word Pairs in Tweet in G10:
[47] #trailblazer,#toptrailblazers [47] #toptrailblazers,#salesforce [46] #salesforce,#ohana [38] #trailhead,#trailblazer [34] work,#trailhead [30] earned,module [30] nice,work [12] jade,leong [12] quick,look [12] look,nice 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 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:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: