The graph represents a network of 2,117 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, 15 June 2020 at 05:37 UTC.
The requested start date was Monday, 15 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 19-hour, 11-minute period from Monday, 08 June 2020 at 15:25 UTC to Saturday, 13 June 2020 at 10:37 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 : 2117
Unique Edges : 1693
Edges With Duplicates : 8221
Total Edges : 9914
Number of Edge Types : 5
Retweet : 3159
MentionsInRetweet : 4244
Tweet : 1383
Mentions : 1070
Replies to : 58
Self-Loops : 1458
Reciprocated Vertex Pair Ratio : 0.0311295582567447
Reciprocated Edge Ratio : 0.0603795284646348
Connected Components : 215
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 1719
Maximum Edges in a Connected Component : 9257
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.142758
Graph Density : 0.000776413460928857
Modularity : 0.292296
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,117 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, 15 June 2020 at 05:37 UTC.
The requested start date was Monday, 15 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 19-hour, 11-minute period from Monday, 08 June 2020 at 15:25 UTC to Saturday, 13 June 2020 at 10:37 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 G2:
[44] session,hariss63 [40] successful,1st [39] 1st,session [39] session,#copado [38] #copado,series [38] series,sessions [37] sessions,2nd [37] 2nd,session [37] #salesforcedaily,daily [35] daily,tip Top Word Pairs in Tweet in G3:
[84] #salesforce,salesforce [83] salesforce,#salesforce [83] salesforce,partnerforce [83] know,more [83] #cloud,#tech [83] salesforce,projects [83] click,know [83] #salesforce,#crm [69] #salesforce,admins [69] einstein,analytics Top Word Pairs in Tweet in G4:
[43] #salesforce,#crm [34] marketing,cloud [19] #salesforce,#salestraining [14] #businesstransformation,#businessstrategies [14] #businessstrategies,#virtualevent [13] #virtualevent,#careerevent [13] #careerevent,#blogging [12] #blogging,#blogging [12] #blogging,#bloggerswanted [12] salesforce,developer Top Word Pairs in Tweet in G5:
[7] great,picture [6] picture,#salesforce [6] #salesforce,features [6] features,one [6] one,well [6] well,finally [6] finally,released [6] released,salesforce [6] radnip,great [5] salesforce,funct Top Word Pairs in Tweet in G6:
[96] lightning,web [96] web,component [96] introducing,indicators [96] indicators,lightning [96] component,#salesforce [96] #salesforce,component [96] component,bring [96] bring,colour [95] colour,visibility [95] visibility,data Top Word Pairs in Tweet in G7:
[17] merge,pull [17] pull,request [16] request,#salesforce [16] danieljpeter,merge [16] round,robin [16] robin,lead [16] lead,assignment [16] assignment,#salesforce [16] danieljpeter,round [16] ci,cd Top Word Pairs in Tweet in G8:
[38] recovery,service [38] service,july [38] technologist,discuss [37] episode,wcpreston [21] wcpreston,#mrbackup [21] #mrbackup,makitadremel [21] makitadremel,chief [21] chief,technologist [20] podcast,hardware [18] hardware,required Top Word Pairs in Tweet in G9:
[35] #light_vision_it,هناك [35] هناك,حلول [35] حلول,تكنولوجيه [32] تكنولوجيه,تناسب [32] تناسب,مشروعات [32] مشروعات,ولا [32] ولا,تناسب [32] تناسب,الاخرى [28] الاخرى,فريق [28] فريق,#لايت_فيجن Top Word Pairs in Tweet in G10:
[61] #angularjs,#javascript30 [61] #javascript30,#javascript [61] #javascript,#visualstudio [61] #visualstudio,#oracle [61] #oracle,#bi [61] #bi,#ide [61] #ide,#salesforce [61] #salesforce,#java [61] #java,#frontend [61] learn,react Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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