The graph represents a network of 2,851 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, 25 April 2022 at 04:48 UTC.
The requested start date was Monday, 25 April 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 11-day, 5-hour, 42-minute period from Wednesday, 13 April 2022 at 05:12 UTC to Sunday, 24 April 2022 at 10:54 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 : 2851
Unique Edges : 2588
Edges With Duplicates : 11253
Total Edges : 13841
Number of Edge Types : 5
Tweet : 2705
Mentions : 3056
Retweet : 3424
MentionsInRetweet : 4488
Replies to : 168
Self-Loops : 3334
Reciprocated Vertex Pair Ratio : 0.0416310236669518
Reciprocated Edge Ratio : 0.07993430057487
Connected Components : 818
Single-Vertex Connected Components : 605
Maximum Vertices in a Connected Component : 1607
Maximum Edges in a Connected Component : 10836
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.861789
Graph Density : 0.000449580633449636
Modularity : 0.261907
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,851 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, 25 April 2022 at 04:48 UTC.
The requested start date was Monday, 25 April 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 11-day, 5-hour, 42-minute period from Wednesday, 13 April 2022 at 05:12 UTC to Sunday, 24 April 2022 at 10:54 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:
[1631] #cx,#women [1631] #women,#ehealth [1630] #healthtech,#datascientist [1626] #ehealth,#ces2023 [1617] #datascientist,#iot [1605] #ai,#digitalhealth [1595] #iot,#ai [1221] #digitalhealth,#startups [1221] #startups,#cx [1055] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[40] #salesforce,#ohana [36] #trailblazer,#toptrailblazers [36] #toptrailblazers,#salesforce [35] #salesforce,#salesforce使い方 [35] #salesforce使い方,#セールスフォース [32] #trailhead,#trailblazer [31] work,#trailhead [28] earned,module [28] nice,work [25] learn,more Top Word Pairs in Tweet in G2:
[33] partnerforce,salesforcenews [27] salesforce,#salesforce [25] today,salesforce [23] head,link [23] salesforcenews,salesforce [21] #salesforce,#crm [20] salesforcearchs,group [20] group,jaipur [19] excited,share [19] share,leading Top Word Pairs in Tweet in G3:
[1608] #healthtech,#datascientist [1608] #cx,#women [1608] #women,#ehealth [1603] #ehealth,#ces2023 [1595] #datascientist,#iot [1582] #ai,#digitalhealth [1573] #iot,#ai [1207] #digitalhealth,#startups [1207] #startups,#cx [1034] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[48] stay,tuned [48] tuned,more [44] #technology,#salesforce [39] #art,#comics [39] #comics,#comicstrip [39] #comicstrip,#technology [31] #salesforce,tip [31] tip,week [31] #salesforce,#funtimes [29] #funtimes,#awesomedays Top Word Pairs in Tweet in G5:
[90] #elongate,#elongate4charity [86] let's,change [86] change,world [86] world,crypto [86] crypto,#elongate [76] #elongate4charity,#elongatefamily [67] #shrm,#nonprofits [67] #nonprofits,#nonprofit [65] #corpgov,#socialgood [65] #socialgood,#shrm Top Word Pairs in Tweet in G6:
[10] #s2labs,#salesforce [10] mesh,help [9] social,media [8] grow,following [8] following,social [8] using,crm [7] #crmspaceinfo,#sales [6] learn,salesforce [6] understand,life [6] life,success Top Word Pairs in Tweet in G7:
[60] salesforce,take [60] take,business [60] business,next [60] next,level [60] level,salesforce [60] salesforce,help [60] help,integrate [60] integrate,website [60] website,salesforce [60] salesforce,perfectly Top Word Pairs in Tweet in G8:
[71] #cloudvandana,#salesforce [71] #salesforce,#salesforcepartner [66] #salesforcepartner,#salesforceconsultant [66] #salesforceconsultant,#salesforceservices [56] #trailblazer,#trailhead [55] cloudely,inc [55] inc,hiring [53] apply,#cloudely [52] #career,#careers [51] #careers,#job Top Word Pairs in Tweet in G9:
[248] passle,timothy_hughes [168] #socialselling,#digitalselling [155] dlaignite,#socialselling [154] timothy_hughes,dlaignite [134] #salestips,#salesleader [124] #salesleader,#salesenablement [109] social,selling [109] #sales,#salestips [105] #digitalselling,#sales [59] #salesenablement,#salesforce Top Word Pairs in Tweet in G10:
[7] customize,data [7] data,model [7] model,manage [7] manage,data [7] deep,sea [7] sea,mining [6] attending,meetup [6] meetup,customize [6] ted,waitt [6] waitt,#waittfoundation Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: