The graph represents a network of 38 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, 09 November 2021 at 12:48 UTC.
The requested start date was Tuesday, 09 November 2021 at 01:01 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, 12-hour, 0-minute period from Tuesday, 26 October 2021 at 05:25 UTC to Monday, 08 November 2021 at 17:25 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 : 38
Unique Edges : 34
Edges With Duplicates : 90
Total Edges : 124
Number of Edge Types : 5
Mentions : 16
Tweet : 62
Retweet : 16
MentionsInRetweet : 29
Replies to : 1
Self-Loops : 62
Reciprocated Vertex Pair Ratio : 0.075
Reciprocated Edge Ratio : 0.13953488372093
Connected Components : 11
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 56
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.082353
Graph Density : 0.0305832147937411
Modularity : 0.337848
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 38 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, 09 November 2021 at 12:48 UTC.
The requested start date was Tuesday, 09 November 2021 at 01:01 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, 12-hour, 0-minute period from Tuesday, 26 October 2021 at 05:25 UTC to Monday, 08 November 2021 at 17:25 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] #socbiz,#inboundmarketing [9] social,media [8] #socbiz,#socialmedia [8] operational,efficiency [7] #infographic,10 [7] ts,#socialmedia [7] #socialmedia,pipelinercrm [7] pipelinercrm,gt [7] gt,gt [7] gt,#socbiz Top Word Pairs in Tweet in G1:
[4] #socialimpact,#business [3] tips,building [3] building,#socialimpact [3] #business,ground [3] ground,humanitix_tweet [3] humanitix_tweet,grameenaust [2] socialchangeaus,tips Top Word Pairs in Tweet in G2:
[3] rhappe,dhinchcliffe [3] dhinchcliffe,created [3] created,satirical [3] satirical,chart [3] chart,decade [3] decade,ago [3] ago,probably [3] probably,update [3] update,bhaines0 [3] bhaines0,andrewnebus Top Word Pairs in Tweet in G3:
[3] latest,hyounpark's [3] hyounpark's,#socbiz [3] #socbiz,review [3] review,thanks [3] #socialmedia,#bigdata [2] #salespop,#socbiz Top Word Pairs in Tweet in G4:
[7] #infographic,10 [7] ts,#socialmedia [7] #socialmedia,pipelinercrm [7] pipelinercrm,gt [7] gt,gt [7] gt,#socbiz [6] 10,donâ [6] donâ,ts [4] social,media [4] media,ponderings Top Word Pairs in Tweet in G5:
[3] sealed,deal [3] deal,yunusenvhub [3] yunusenvhub,joining [3] joining,forces [3] forces,rotaryvijanapoa [3] rotaryvijanapoa,empowering [3] empowering,more [3] more,40 [3] 40,youth [3] youth,social Top Word Pairs in Tweet in G6:
[11] #socbiz,#inboundmarketing [8] operational,efficiency [8] #socbiz,#socialmedia [7] #socbiz,#roi [6] measure,#roi [5] efficiency,#socbiz [5] online,#socbiz [4] take,note [4] note,#socbiz [4] #roi,#inboundmarketing Top Word Pairs in Tweet in G7:
[3] very,rare [3] rare,see [3] see,someone [3] someone,saying [3] saying,thanks [3] thanks,getting [3] getting,money [3] money,#reachfund [3] #reachfund,makes [3] makes,happy Top Word Pairs in Tweet in G8:
[2] one,area [2] area,businesses [2] businesses,overlook [2] overlook,donâ [2] donâ,use [2] use,effectively [2] effectively,hashtags [2] hashtags,#socbiz Top Word Pairs in Tweet in G9:
[2] please,visit [2] visit,#online [2] #online,#bookstore [2] #bookstore,recently [2] recently,opened [2] opened,2020 [2] 2020,specializes [2] specializes,printing [2] printing,distributing Top Word Pairs in Tweet in G10:
[4] ãƒ,ム[3] social,media [2] æ,ç [2] media,advertising [2] advertising,b2b Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 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: