The graph represents a network of 112 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, 23 February 2021 at 11:25 UTC.
The requested start date was Tuesday, 23 February 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, 10-hour, 54-minute period from Tuesday, 09 February 2021 at 06:10 UTC to Monday, 22 February 2021 at 17:04 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 : 112
Unique Edges : 71
Edges With Duplicates : 214
Total Edges : 285
Number of Edge Types : 5
Retweet : 46
MentionsInRetweet : 55
Replies to : 3
Tweet : 111
Mentions : 70
Self-Loops : 113
Reciprocated Vertex Pair Ratio : 0.0181818181818182
Reciprocated Edge Ratio : 0.0357142857142857
Connected Components : 11
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 52
Maximum Edges in a Connected Component : 118
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.110994
Graph Density : 0.00900900900900901
Modularity : 0.360819
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 112 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, 23 February 2021 at 11:25 UTC.
The requested start date was Tuesday, 23 February 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, 10-hour, 54-minute period from Tuesday, 09 February 2021 at 06:10 UTC to Monday, 22 February 2021 at 17:04 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:
[49] #arteyart,#cultura [43] #socbiz,#biztalk [29] #supportthearts,#sharethearts [25] #artworld,#artcommunity [24] need,#supportthearts [21] #sharethearts,#boostthearts [17] #threadseries,link [12] #cultura,#socbiz [12] #devboost,#techtalk [11] #checkout,#artshare Top Word Pairs in Tweet in G1:
[2] keith_jebb,dbetteracademia [2] dbetteracademia,richardjparfitt [2] richardjparfitt,dgurdasani1 [2] dgurdasani1,cici18480257 [2] cici18480257,carstensenpol [2] carstensenpol,runelinding [2] runelinding,bolderesident Top Word Pairs in Tweet in G2:
[48] #arteyart,#cultura [42] #socbiz,#biztalk [29] #supportthearts,#sharethearts [25] #artworld,#artcommunity [24] need,#supportthearts [21] #sharethearts,#boostthearts [17] #threadseries,link [12] #cultura,#socbiz [12] #devboost,#techtalk [11] #checkout,#artshare Top Word Pairs in Tweet in G3:
[9] please,visit [9] visit,#online [9] #online,#bookstore [9] #bookstore,recently [9] recently,opened [9] opened,2020 [9] 2020,specializes [9] specializes,printing [9] printing,distributing [8] richalp411,please Top Word Pairs in Tweet in G4:
[4] #socbiz,#openbiz [3] 15th,february [3] february,2008 [3] 2008,13 [3] 13,years [3] years,ago [3] ago,embarked [3] embarked,#noemail [3] #noemail,journey [3] journey,blog Top Word Pairs in Tweet in G5:
[9] #infographic,10 [9] 10,don [9] don,ts [9] ts,#socialmedia [9] #socialmedia,pipelinercrm [9] pipelinercrm,gt [9] gt,gt [9] gt,#socbiz [3] goahead_global,#infographic [2] social,media Top Word Pairs in Tweet in G7:
[7] call,01793 [5] visually,explained [5] 01793,967317 [4] small,medium [4] medium,b2b [4] b2b,organisations [4] organisations,find [4] find,visually [4] explained,make [4] make,social Top Word Pairs in Tweet in G9:
[2] #e20,#socbiz [2] características,contribuem [2] contribuem,#intranets [2] #intranets,plataformas [2] plataformas,sociais [2] sociais,corporativas [2] corporativas,#esn [2] #esn,sejam [2] sejam,utilizadas Top Word Pairs in Tweet in G10:
[9] #socbiz,#socialmedia [8] #socbiz,#inboundmarketing [5] measure,#roi [4] #governance,#socbiz [4] ceo's,read [4] read,#socbiz [4] online,#socbiz [4] #socbiz,policy [4] #socbiz,#roi [3] four,pillars Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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 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: