The graph represents a network of 117 Twitter users whose tweets in the requested range contained "#WeTalkBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 07:30 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 61-day, 11-hour, 27-minute period from Sunday, 01 September 2019 at 12:27 UTC to Friday, 01 November 2019 at 23:55 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 : 117
Unique Edges : 180
Edges With Duplicates : 1030
Total Edges : 1210
Number of Edge Types : 3
Mentions : 1019
Tweet : 85
Replies to : 106
Self-Loops : 85
Reciprocated Vertex Pair Ratio : 0.216216216216216
Reciprocated Edge Ratio : 0.355555555555556
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 108
Maximum Edges in a Connected Component : 1200
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.512181
Graph Density : 0.019893899204244
Modularity : 0.122993
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 117 Twitter users whose tweets in the requested range contained "#WeTalkBiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 07:30 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 61-day, 11-hour, 27-minute period from Sunday, 01 September 2019 at 12:27 UTC to Friday, 01 November 2019 at 23:55 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 : #WeTalkBiz
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[124] morejanda,_wetalk [66] production,cost [52] market,value [42] morejanda,#wetalkbiz [34] _wetalk,#wetalkbiz [30] mphete_kwetli,_wetalk [30] client,budget [29] price,creative [29] creative,work [27] pricing,work Top Word Pairs in Tweet in G1:
[26] #wetalkbiz,featuring [21] _wetalk,dd_invest [18] #entrepreneurship,#wetalkbiz [6] don,t [6] determines,capital [6] johnarmah,_wetalk [6] featuring,johnarmah [5] knowing,investor [5] investor,requirements [5] requirements,focus Top Word Pairs in Tweet in G2:
[38] morejanda,_wetalk [16] production,cost [14] price,creative [14] creative,work [13] twitter,view [13] view,price [13] join,conversation [13] morejanda,#wetalkbiz [12] market,value [12] book,now Top Word Pairs in Tweet in G3:
[84] morejanda,_wetalk [49] production,cost [39] market,value [28] morejanda,#wetalkbiz [25] _wetalk,#wetalkbiz [22] client,budget [21] mphete_kwetli,_wetalk [19] pricing,work [16] price,work [16] s_theko,_wetalk Top Word Pairs in Tweet in G4:
[3] _wetalk,colleenqvist [3] colleenqvist,jkatzaman [3] jkatzaman,immanueloloo [3] immanueloloo,emelelasa [3] emelelasa,musokaw_zm [3] musokaw_zm,senaoana_m [3] senaoana_m,andrempowell [3] andrempowell,decksnfloors [3] decksnfloors,sme_growth_hub [3] sme_growth_hub,bentley Top Word Pairs in Tweet in G5:
[5] fave,tweet [5] tweet,chats [5] chats,#wetalkbiz [5] #wetalkbiz,#linkedinchat [5] #linkedinchat,#brandchat [5] #brandchat,#socialpowwow [5] #socialpowwow,#mttalk [5] #mttalk,#twittersmarter [4] madalynsklar,fave [4] #twittersmarter,yours Top Word Pairs in Tweet in G6:
[6] tuesday,#twitterchat [6] #twitterchat,list [6] #wetalkbiz,1pm [4] pokeyluwho,tuesday [4] list,#1 [4] #1,#indiefeature [4] #indiefeature,24 [4] 24,7 [4] 7,#contentclubuk [4] #contentclubuk,6am Top Word Pairs in Tweet in G7:
[5] conversation,listening [5] listening,small [5] small,businesses [5] businesses,need [5] need,legal [5] legal,compliance [4] sivenathimbebe,conversation [4] compliance,conversation [2] want,hear [2] hear,yolelwa Top Word Pairs in Tweet in G8:
[3] explore,unlimited [3] unlimited,healthy [3] healthy,benefits [3] benefits,comes [3] comes,hair [3] hair,care [3] care,products [3] products,visit [3] visit,website [2] linahorganics,explore Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 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: