The graph represents a network of 2,101 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 May 2020 at 05:37 UTC.
The requested start date was Monday, 25 May 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, 23-hour, 46-minute period from Tuesday, 19 May 2020 at 11:15 UTC to Sunday, 24 May 2020 at 11:01 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 : 2101
Unique Edges : 1918
Edges With Duplicates : 8187
Total Edges : 10105
Number of Edge Types : 5
MentionsInRetweet : 4298
Mentions : 1243
Retweet : 3040
Tweet : 1429
Replies to : 95
Self-Loops : 1488
Reciprocated Vertex Pair Ratio : 0.0340512223515716
Reciprocated Edge Ratio : 0.0658598367576696
Connected Components : 206
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 1835
Maximum Edges in a Connected Component : 9784
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.232664
Graph Density : 0.000805285464971329
Modularity : 0.284803
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,101 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 May 2020 at 05:37 UTC.
The requested start date was Monday, 25 May 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, 23-hour, 46-minute period from Tuesday, 19 May 2020 at 11:15 UTC to Sunday, 24 May 2020 at 11:01 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:
[55] #nextgentrailblazers,day [44] day,inaugural [44] students,recent [37] #salesforce,aspirants [36] recent,graduates [34] thrilled,announce [29] day,keynote [27] keynote,speaker [24] speaker,another [24] another,key Top Word Pairs in Tweet in G3:
[194] #salesforce,#trailhead [108] #sales,#salesforce [93] salesforce,developer [65] #salesforce,#salesforceohana [59] #salesforce,#crm [50] #trailhead,#salesforce [50] developer,#madrid [50] #madrid,#salesforce [50] #salesforce,#empleo [50] #empleo,#tic Top Word Pairs in Tweet in G4:
[6] #salesforce,salesforce [5] salesforce,#salesforce [5] #salesforce,#trailblazercommunity [4] #trailblazercommunity,salesforceadmns [4] salesforceadmns,appexchange [3] back,work [3] appexchange,salesforcedevs [3] know,more [3] salesforce,architect [3] #summer20,coming Top Word Pairs in Tweet in G5:
[73] save,save [42] experienced,admin [20] admin,fixing [17] fixing,something [17] something,broke [16] broke,before [15] before,anyone [11] anyone,notices [11] notices,#salesforce [10] danieljpeter,experienced Top Word Pairs in Tweet in G6:
[63] still,hiring [48] starting,thread [48] thread,job [48] job,opportunities [48] opportunities,still [48] hiring,each [48] each,includes [48] includes,linkedin [48] linkedin,recruiter [47] teneikaask_you,starting Top Word Pairs in Tweet in G7:
[18] best,#salesforce [17] missing,#ohana [17] #ohana,#salesforce [17] #salesforce,community [17] community,come [17] come,join [17] join,natterbox's [17] natterbox's,world [17] world,tour [16] tour,reimagined Top Word Pairs in Tweet in G8:
[16] size,bir [10] bir,mesajim [10] mesajim,var [10] var,dersiniz [10] dersiniz,#salesforce [10] gatortail,size [10] hachion,offering [10] #salesforce,#tableau [10] #qa,#python [10] #python,#tableau Top Word Pairs in Tweet in G9:
[23] #healthcare,important [23] important,stay [23] stay,same [23] same,healthcare360 [23] healthcare360,healthcare360 [22] healthcare360,#salesforce [14] #salesforce,users [12] users,features [10] #telehealth,#digitalpayments [10] features,#telehealth Top Word Pairs in Tweet in G10:
[21] #marketingautomation,#crm [21] #crm,#salesforce [21] #salesforce,youtube [21] #stockstowatch,#radar [21] #radar,#salesforce [21] #salesforce,still [21] still,#key [21] youtube,#propertydevelopment [20] #propertydevelopment,#commercialproperties [19] #commercialproperties,#construction 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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