The graph represents a network of 51 Twitter users whose tweets in the requested range contained "#SocBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 15:06 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 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 13-day, 14-hour, 12-minute period from Tuesday, 17 December 2019 at 08:12 UTC to Monday, 30 December 2019 at 22:25 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 : 51
Unique Edges : 49
Edges With Duplicates : 81
Total Edges : 130
Number of Edge Types : 4
Mentions : 30
Tweet : 68
Replies to : 1
MentionsInRetweet : 31
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.0212765957446809
Reciprocated Edge Ratio : 0.0416666666666667
Connected Components : 16
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 16
Maximum Edges in a Connected Component : 45
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.496063
Graph Density : 0.0188235294117647
Modularity : 0.361213
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 51 Twitter users whose tweets in the requested range contained "#SocBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 15:06 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 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 13-day, 14-hour, 12-minute period from Tuesday, 17 December 2019 at 08:12 UTC to Monday, 30 December 2019 at 22:25 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 : #SocBiz
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:
[11] #checkout,#artistontwitter's [11] #arteyart,#cultura [10] #devart,#boostthearts [9] richalp411,#checkout [9] #artistontwitter's,#artwork [8] #socbiz,#inboundmarketing [8] #socbiz,#socialmedia [7] #cultura,#devart [6] #share,#repost [6] #socbiz,#biztalk Top Word Pairs in Tweet in G1:
[4] #futureofwork,#socbiz [2] justicesikakane,salesforce [2] salesforce,quip [2] quip,trailhead [2] trailhead,hennepintheatre [2] hennepintheatre,benioff [2] benioff,charlieisaacs [2] charlieisaacs,swbjoyce [2] swbjoyce,ivankatrump [2] ivankatrump,amy_e_weaver Top Word Pairs in Tweet in G2:
[2] yes,tribalimpact [2] tribalimpact,social [2] social,selling [2] selling,isn [2] isn,really [2] really,selling [2] selling,being [2] being,social [2] social,connecting [2] connecting,interacting Top Word Pairs in Tweet in G3:
[2] #contentmarketing,#socbiz [2] dms,expo [2] expo,2013 [2] #socbiz,#sharepoint Top Word Pairs in Tweet in G4:
[4] #infographic,10 [4] 10,don [4] don,ts [4] ts,#socialmedia [4] #socialmedia,pipelinercrm [4] pipelinercrm,gt [4] gt,gt [4] gt,#socbiz Top Word Pairs in Tweet in G6:
[11] #checkout,#artistontwitter's [11] #arteyart,#cultura [10] #devart,#boostthearts [9] richalp411,#checkout [9] #artistontwitter's,#artwork [7] #cultura,#devart [6] #share,#repost [6] #socbiz,#biztalk [5] #boostthearts,#sharethearts [5] #boostthearts,#supportthearts Top Word Pairs in Tweet in G7:
[8] #socbiz,#socialmedia [8] #socbiz,#inboundmarketing [5] measure,#roi [4] ceo's,read [4] #socbiz,#roi [3] read,#socbiz [3] online,#socbiz [3] customer,experience [3] operational,efficiency [2] four,pillars Top Word Pairs in Tweet in G9:
[2] infographic,reasons [2] reasons,business [2] business,embrace [2] embrace,#socialmedia [2] #socialmedia,#socbiz [2] #socbiz,#smb Top Word Pairs in Tweet in G10:
[2] #employeeexperience,look [2] look,2020 [2] 2020,beyond [2] beyond,find [2] find,#visierhrtrends [2] #visierhrtrends,#hr [2] #hr,#socbiz Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: