The graph represents a network of 39 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, 13 July 2021 at 10:25 UTC.
The requested start date was Tuesday, 13 July 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 6-hour, 9-minute period from Tuesday, 29 June 2021 at 07:15 UTC to Monday, 12 July 2021 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 : 39
Unique Edges : 21
Edges With Duplicates : 115
Total Edges : 136
Number of Edge Types : 4
Tweet : 74
MentionsInRetweet : 30
Mentions : 12
Retweet : 20
Self-Loops : 74
Reciprocated Vertex Pair Ratio : 0.0571428571428571
Reciprocated Edge Ratio : 0.108108108108108
Connected Components : 13
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 51
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.144509
Graph Density : 0.0249662618083671
Modularity : 0.282264
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 39 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, 13 July 2021 at 10:25 UTC.
The requested start date was Tuesday, 13 July 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 6-hour, 9-minute period from Tuesday, 29 June 2021 at 07:15 UTC to Monday, 12 July 2021 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:
[12] #socbiz,#socialmedia [9] social,media [8] #socbiz,#inboundmarketing [7] #infographic,10 [7] ts,#socialmedia [7] #socialmedia,pipelinercrm [7] pipelinercrm,gt [7] gt,gt [7] gt,#socbiz [6] #indiedev,#artbot Top Word Pairs in Tweet in G1:
[5] #socialimpact,#business [4] tips,building [4] building,#socialimpact [4] #business,ground [4] ground,humanitix_tweet [4] humanitix_tweet,grameenaust [3] socialgoodstuff,tips Top Word Pairs in Tweet in G2:
[7] #infographic,10 [7] ts,#socialmedia [7] #socialmedia,pipelinercrm [7] pipelinercrm,gt [7] gt,gt [7] gt,#socbiz [4] #linkedin,introduction [4] introduction,stalls [4] stalls,chiefdooropener [4] chiefdooropener,#salespop Top Word Pairs in Tweet in G3:
[4] social,media [4] #socbiz,#socialbusiness [4] #socialbusiness,#socialmedia [4] #socialmedia,#consultancy [4] #consultancy,#businessmedia [2] working,alongside [2] alongside,hr [2] hr,department [2] department,help [2] help,draft Top Word Pairs in Tweet in G4:
[9] #socbiz,#socialmedia [8] #socbiz,#inboundmarketing [5] measure,#roi [4] ceo's,read [4] read,#socbiz [4] online,#socbiz [4] #governance,#socbiz [4] #socbiz,policy [4] #socbiz,#roi [3] #supportthearts,#sharethearts Top Word Pairs in Tweet in G5:
[3] beautiful,let's [3] let's,expand [3] expand,wed [3] wed,matt_l [3] matt_l,30m [3] 30m,dedicated [3] dedicated,infectious [3] infectious,passion [3] passion,#customersuccess [2] anirban_dutta_,beautiful Top Word Pairs in Tweet in G6:
[3] œ,œâ [3] œâ,#film [3] #film,#videogame [3] #videogame,#fashion [3] #fashion,#startup [3] #startup,#branding [3] #branding,#infosec [3] #infosec,#casting [3] #casting,#brand [3] #brand,#bnw Top Word Pairs in Tweet in G7:
[2] tech,#ipo [2] #ipo,sprinklr [2] sprinklr,set [2] set,join [2] join,#customerexperience [2] #customerexperience,management [2] management,unicorn [2] unicorn,club [2] club,one [2] one,watch Top Word Pairs in Tweet in G8:
[3] #signalboost,#socbiz [3] #indiedev,#artbot [2] #artistartwork_feature,progress [2] progress,#sharethearts [2] #sharethearts,#boostthearts [2] #boostthearts,#supportthearts [2] #supportthearts,need [2] need,#artshare [2] #artshare,#artworkinprogress [2] #socbiz,#biztalk Top Word Pairs in Tweet in G9:
[2] people,ask [2] ask,support [2] support,handy [2] handy,slides [2] slides,gives [2] gives,little [2] little,insight [2] insight,help Top Word Pairs in Tweet in G10:
[4] social,enterprise [2] enterprise,defining [2] defining,social [2] enterprise,social [2] social,business [2] business,#socent [2] #socent,#socbiz 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: