The graph represents a network of 1,991 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, 08 June 2020 at 05:37 UTC.
The requested start date was Monday, 08 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 5-day, 22-hour, 38-minute period from Monday, 01 June 2020 at 12:24 UTC to Sunday, 07 June 2020 at 11:02 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 : 1991
Unique Edges : 1634
Edges With Duplicates : 8056
Total Edges : 9690
Number of Edge Types : 5
Mentions : 1163
MentionsInRetweet : 3960
Retweet : 3008
Tweet : 1513
Replies to : 46
Self-Loops : 1622
Reciprocated Vertex Pair Ratio : 0.0278227110967324
Reciprocated Edge Ratio : 0.0541391249606547
Connected Components : 208
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 1634
Maximum Edges in a Connected Component : 9178
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.027536
Graph Density : 0.000801849528910247
Modularity : 0.267
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,991 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, 08 June 2020 at 05:37 UTC.
The requested start date was Monday, 08 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 5-day, 22-hour, 38-minute period from Monday, 01 June 2020 at 12:24 UTC to Sunday, 07 June 2020 at 11:02 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:
[62] lightning,web [48] web,components [44] #salesforce,#virtualgupshup [43] game,changer [43] changer,lightning [42] components,passion [38] passion,inspired [32] inspired,develop [31] develop,chess [30] chess,game Top Word Pairs in Tweet in G3:
[68] salesforce,#crm [42] watch,video [41] quality,assurance [39] learn,more [39] salesforce,#salesforce [39] #salesforce,data [39] need,help [39] still,hiring [39] cloudanalogy,salesforce [39] #crm,help Top Word Pairs in Tweet in G4:
[17] ãƒ,ム[15] ç,ç [13] #ã,ム[11] salesforceã,ム[11] sales,incentive [11] incentive,plans [10] #sales,#salesforce [10] æ,æ [9] #salesforce,#salestraining [9] в,магазинах Top Word Pairs in Tweet in G5:
[23] salesforce,partnerforce [8] #salesforce,#trailblazercommunity [5] #trailblazercommunity,salesforceadmns [5] salesforceadmns,appexchange [4] appexchange,salesforcedevs [4] #summer20,coming [4] partnerforce,#salesforce [4] #cloud,#tech [4] #salesforce,appexchange [4] virtual,summit Top Word Pairs in Tweet in G6:
[26] #salesforceway,podcast [23] podcast,60 [23] 60,apex [20] apex,language [19] language,guest [16] guest,ca_peterson [16] ca_peterson,sponsors [16] sponsors,formassembly [11] xixiaofinland,#salesforceway [9] guess,excited Top Word Pairs in Tweet in G7:
[11] #salesforce,#forcetalks [11] need,know [11] share,#salesforce [11] #salesforce,knowledge [11] knowledge,world [11] type,#salesforce [11] #salesforce,need [11] boost,productivity [10] client,looking [8] looking,#salesforce Top Word Pairs in Tweet in G8:
[11] superstar,admin [8] need,advice [5] advice,implement [5] implement,newly [5] newly,released [4] released,platform [4] platform,#salesforce [4] #salesforce,check [4] admin,vs [4] vs,#awesomeadmin Top Word Pairs in Tweet in G9:
[6] ø,ù [6] ø,ø [6] ù,ø [6] ù,ù [6] ù,ùš [6] ùƒù,ø [6] ù,ùƒù [6] #ø,ù [5] ù,ùšù [5] ùš,ø Top Word Pairs in Tweet in G10:
[528] back,work [417] #marketingautomation,#crm [373] #crm,#salesforce [361] crm,company [104] company,#salesforce [102] #salesforce,looking [102] looking,professional [56] professional,#women [55] register,interest [54] #women,#switzerland 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 G6:
Top Replied-To in G7:
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: