The graph represents a network of 190 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, 07 April 2020 at 10:33 UTC.
The requested start date was Tuesday, 07 April 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 13-day, 11-hour, 55-minute period from Tuesday, 24 March 2020 at 01:30 UTC to Monday, 06 April 2020 at 13:25 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 : 190
Unique Edges : 352
Edges With Duplicates : 845
Total Edges : 1197
Number of Edge Types : 4
MentionsInRetweet : 582
Mentions : 443
Replies to : 25
Tweet : 147
Self-Loops : 147
Reciprocated Vertex Pair Ratio : 0.0709534368070953
Reciprocated Edge Ratio : 0.132505175983437
Connected Components : 34
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 74
Maximum Edges in a Connected Component : 873
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.971864
Graph Density : 0.0134502923976608
Modularity : 0.279505
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 190 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, 07 April 2020 at 10:33 UTC.
The requested start date was Tuesday, 07 April 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 13-day, 11-hour, 55-minute period from Tuesday, 24 March 2020 at 01:30 UTC to Monday, 06 April 2020 at 13:25 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:
[57] #socbiz,#biztalk [46] #sharethearts,#supportthearts [34] #arteyart,#cultura [33] #supportthearts,#fineart [32] #fineart,#modernart [32] ritazonius,chieftech [32] chieftech,annebb [32] annebb,srjf [32] petefields,sorokti [32] sorokti,jdavidson Top Word Pairs in Tweet in G1:
[18] #e20,#socbiz [14] ritazonius,chieftech [14] chieftech,annebb [14] annebb,srjf [14] srjf,akwyz [14] akwyz,petefields [14] petefields,sorokti [14] sorokti,jdavidson [14] jdavidson,ellenfeaheny [13] entdigisum,ritazonius Top Word Pairs in Tweet in G2:
[57] #socbiz,#biztalk [46] #sharethearts,#supportthearts [34] #arteyart,#cultura [33] #supportthearts,#fineart [32] #fineart,#modernart [27] #artshare,#sharethearts [18] #modernart,#contemporaryart [18] #contemporaryart,#abstractart [16] #artworkontwitter,#artshare [15] richalp411,#checkout Top Word Pairs in Tweet in G3:
[18] entdigisum,ritazonius [18] ritazonius,chieftech [18] chieftech,annebb [18] annebb,srjf [18] petefields,sorokti [18] sorokti,jdavidson [18] jdavidson,ellenfeaheny [17] srjf,akwyz [17] akwyz,petefields [15] dhinchcliffe,wlamin Top Word Pairs in Tweet in G4:
[11] teams,around [11] around,world [11] world,facing [11] facing,sudden [11] sudden,shift [11] shift,remote [11] remote,work [11] work,culture [11] culture,those [11] those,moments Top Word Pairs in Tweet in G5:
[8] rawn,haraldschirmer [8] haraldschirmer,anadatagirl [8] anadatagirl,marktamis [8] marktamis,hjsturm [8] hjsturm,elsua [8] elsua,leebryant [8] leebryant,netjmc [7] netjmc,celineschi [4] dhinchcliffe,conversionation [4] conversionation,jonhusband Top Word Pairs in Tweet in G6:
[3] #b2bmarketing,#socbiz [2] topics,salespeople [2] salespeople,linkedin [2] linkedin,company [2] company,one [2] one,linkedinselling [2] linkedinselling,#smm [2] #smm,#socbiz [2] #socbiz,#socialselling [2] #socialselling,#employeeadvocacy Top Word Pairs in Tweet in G7:
[4] #futureofwork,#socbiz [4] kind,cruel [4] cruel,show [4] show,empathy [4] empathy,anger [4] anger,listen [4] listen,lecture [4] lecture,join [4] join,opt [4] opt,heard Top Word Pairs in Tweet in G8:
[16] gt,gt [16] gt,#socbiz [14] #infographic,10 [14] ts,#socialmedia [14] #socialmedia,pipelinercrm [14] pipelinercrm,gt [9] 10,don [9] don,ts [5] 10,donâ [5] donâ,ts Top Word Pairs in Tweet in G9:
[5] #socbiz,#smm [4] andycapaloff,janlgordon [4] janlgordon,dlaignite [4] dlaignite,#socialselling [4] #socialselling,#socbiz [3] 12,influence [3] influence,marketing [3] marketing,facebook [3] facebook,video [3] video,marketing Top Word Pairs in Tweet in G10:
[5] need,social [5] social,intrapreneurs [5] intrapreneurs,more [5] more,during [5] during,#covid19 [5] f_bonnici,schwabfound [4] #covid19,saskiabruysten [4] saskiabruysten,f_bonnici [4] schwabfound,wef [3] yunus_sb,need 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: