The graph represents a network of 134 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, 02 June 2020 at 11:58 UTC.
The requested start date was Tuesday, 02 June 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, 57-minute period from Tuesday, 19 May 2020 at 01:27 UTC to Monday, 01 June 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 : 134
Unique Edges : 107
Edges With Duplicates : 416
Total Edges : 523
Number of Edge Types : 5
Retweet : 132
MentionsInRetweet : 173
Mentions : 74
Replies to : 4
Tweet : 140
Self-Loops : 141
Reciprocated Vertex Pair Ratio : 0.0649350649350649
Reciprocated Edge Ratio : 0.121951219512195
Connected Components : 24
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 20
Maximum Edges in a Connected Component : 257
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.738255
Graph Density : 0.00920210975199192
Modularity : 0.303691
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 134 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, 02 June 2020 at 11:58 UTC.
The requested start date was Tuesday, 02 June 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, 57-minute period from Tuesday, 19 May 2020 at 01:27 UTC to Monday, 01 June 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 G2:
[106] next,social [78] social,media [67] media,trends [58] trends,2020 [58] 2020,ogilvyred [44] ogilvyred,slideshare [44] slideshare,ty [39] ty,caseycrl [26] caseycrl,cc [24] cc,shellkillebrew Top Word Pairs in Tweet in G3:
[6] favourite,quote [6] quote,fab [6] fab,piece [6] piece,ritazonius [6] ritazonius,one [6] one,'sunlight [6] 'sunlight,best [6] best,disinfectant [6] disinfectant,re [6] re,throwing Top Word Pairs in Tweet in G4:
[5] use,linkedin [5] linkedin,become [5] become,thought [5] thought,leader [5] leader,niche [5] niche,janlgordon [5] janlgordon,sujanpatel [5] janlgordon,use [5] sujanpatel,#socialsel [5] sujanpatel,#linkedin Top Word Pairs in Tweet in G5:
[12] #infographic,10 [12] 10,don [12] don,ts [12] ts,#socialmedia [12] #socialmedia,pipelinercrm [12] pipelinercrm,gt [12] gt,gt [9] gt,#socbiz [8] social,platforms [2] platforms,hide Top Word Pairs in Tweet in G6:
[7] social,media [7] juliovisko,social [7] media,influencers [7] influencers,still [7] still,worth [7] worth,money [7] money,#smm [7] #smm,#marketing [4] #marketing,#socbiz [4] media,perfect Top Word Pairs in Tweet in G7:
[9] #socbiz,#futureofwork [7] believe,opposite [7] opposite,true [7] true,work [7] work,blank [7] blank,intimidating [7] intimidating,tools [7] tools,provide [7] here's,great [2] great,article Top Word Pairs in Tweet in G8:
[2] l'entreprise,objet [2] objet,d'intérêt [2] d'intérêt,collectif [2] collectif,sens [2] sens,service [2] service,performance [2] performance,soirée [2] soirée,lavoixdunord [2] lavoixdunord,jean [2] jean,dominique Top Word Pairs in Tweet in G9:
[2] linkedin,#socbiz [2] #socbiz,business [2] business,meets [2] meets,social [2] social,linkedin [2] linkedin,arbeitet [2] arbeitet,neuen [2] neuen,message [2] message,reactions [2] reactions,#social Top Word Pairs in Tweet in G10:
[3] #socialimpact,#business [3] tips,building [3] building,#socialimpact [3] #business,ground [3] ground,humanitix_tweet [3] humanitix_tweet,grameenaust Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 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: