The graph represents a network of 100 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 Thursday, 08 October 2020 at 11:14 UTC.
The requested start date was Tuesday, 06 October 2020 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, 20-hour, 20-minute period from Tuesday, 22 September 2020 at 01:05 UTC to Monday, 05 October 2020 at 21:25 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 : 100
Unique Edges : 67
Edges With Duplicates : 554
Total Edges : 621
Number of Edge Types : 5
Tweet : 199
Retweet : 168
MentionsInRetweet : 193
Mentions : 51
Replies to : 10
Self-Loops : 199
Reciprocated Vertex Pair Ratio : 0.0471698113207547
Reciprocated Edge Ratio : 0.0900900900900901
Connected Components : 23
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 33
Maximum Edges in a Connected Component : 469
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.975062
Graph Density : 0.0112121212121212
Modularity : 0.165093
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 100 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 Thursday, 08 October 2020 at 11:14 UTC.
The requested start date was Tuesday, 06 October 2020 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, 20-hour, 20-minute period from Tuesday, 22 September 2020 at 01:05 UTC to Monday, 05 October 2020 at 21:25 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:
[139] #socbiz,#biztalk [112] #arteyart,#cultura [83] thread,link [66] #sharethearts,#supportthearts [47] #biztalk,#techtalk [43] #biztalk,#devboost [41] #checkout,#artshare [37] #cultura,#socbiz [36] #techtalk,#devboost [34] #artshare,thread Top Word Pairs in Tweet in G1:
[101] #socbiz,#biztalk [77] thread,link [76] #arteyart,#cultura [47] #sharethearts,#supportthearts [37] #biztalk,#techtalk [31] #artshare,thread [29] #biztalk,#devboost [27] #checkout,#artshare [27] #techtalk,#devboost [26] richalp411,#checkout Top Word Pairs in Tweet in G2:
[38] #socbiz,#biztalk [36] #arteyart,#cultura [19] #sharethearts,#supportthearts [14] #checkout,#artshare [14] #biztalk,#devboost [14] #cultura,#socbiz [12] #abstractart,#contemporaryart [10] #biztalk,#techtalk [9] richard,alpert [9] #techtalk,#devboost Top Word Pairs in Tweet in G3:
[2] prisus,guarantee [2] guarantee,always [2] always,same [2] same,matter [2] matter,asks [2] asks,collaborate [2] collaborate,cooperate [2] cooperate,guarantee Top Word Pairs in Tweet in G5:
[15] social,media [10] #socbiz,#socialmedia [9] #socbiz,#inboundmarketing [6] #socialmedia,#consultancy [5] measure,#roi [4] #socbiz,#social [4] #social,business [4] business,#socialmedia [4] ceo's,read [4] read,#socbiz Top Word Pairs in Tweet in G6:
[7] #infographic,10 [7] 10,don [7] don,ts [7] ts,#socialmedia [7] #socialmedia,pipelinercrm [7] pipelinercrm,gt [7] gt,gt [7] gt,#socbiz [2] kimlanikolaus,#infographic [2] social,media Top Word Pairs in Tweet in G7:
[2] #socialimpact,#business Top Word Pairs in Tweet in G8:
[2] serie,webinars [2] #aworldofthreezeros,#socbiz [2] #socbiz,#yunusenvironmenthub Top Word Pairs in Tweet in G9:
[2] #futureofwork,#socbiz [2] #socbiz,#ucc Top Word Pairs in Tweet in G10:
[2] iangietweet,hey [2] hey,thread [2] thread,ready [2] ready,compiled [2] compiled,read [2] read,whole [2] whole,version Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: