The graph represents a network of 665 Twitter users whose recent tweets contained "socialgov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 2/7/2023 9:31:08 AM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 17:33 UTC.
The tweets in the network were tweeted over the 2518-day, 7-hour, 12-minute period from Wednesday, 16 March 2016 at 18:10 UTC to Tuesday, 07 February 2023 at 01:23 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 665
Unique Edges : 795
Edges With Duplicates : 1473
Total Edges : 2268
Number of Edge Types : 8
Tweet : 464
Quote : 102
Replies to : 75
MentionsInReplyTo : 298
Mentions : 555
MentionsInRetweet : 389
Retweet : 271
MentionsInQuote : 114
Self-Loops : 526
Reciprocated Vertex Pair Ratio : 0.0647693817468106
Reciprocated Edge Ratio : 0.121658986175115
Connected Components : 26
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 624
Maximum Edges in a Connected Component : 2210
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.439049
Graph Density : 0.0024571972098922
Modularity : 0.379293
NodeXL Version : 1.0.1.510
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=288810
Data Import : The graph represents a network of 665 Twitter users whose recent tweets contained "socialgov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 2/7/2023 9:31:08 AM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 17:33 UTC.
The tweets in the network were tweeted over the 2518-day, 7-hour, 12-minute period from Wednesday, 16 March 2016 at 18:10 UTC to Tuesday, 07 February 2023 at 01:23 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : socialgov
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:
[660] social,media [310] #socialmedia,#socialgov [285] government,social [237] latest,government [237] media,daily [209] daily,thanks [85] public,sector [66] #publicsectormarketingshow,#socialmedia [52] media,strategy [46] #gsmcon2022,#socialgov Top Word Pairs in Tweet in G1:
[243] social,media [235] #socialmedia,#socialgov [235] latest,government [235] media,daily [235] government,social [207] daily,thanks [28] daily,#socialmedia [8] create,strong [8] media,policy [8] strong,social Top Word Pairs in Tweet in G2:
[36] social,media [12] public,service [11] #socialgov,#gsmcon2022 [10] event,#dallas [10] governmentsm,event [10] 2000,year [10] 30th,governmentsm [10] march,30th [9] #gsmcon2022,#socialgov [8] looking,forward Top Word Pairs in Tweet in G3:
[16] social,media [14] state,michigan [8] continues,#smdaymi [8] countdown,continues [8] fact,#3 [8] facebook,ranks [8] top,state [8] #smdaymi,fact [8] #3,state [8] looking,hire Top Word Pairs in Tweet in G4:
[60] social,media [38] government,social [35] media,conference [33] #gsmcon2022,#socialgov [21] #localgov,#lesm [21] #socialgov,#localgov [21] 2022,government [9] professional,association [9] socialgov,roundup [7] #socialmedia,#socialgov Top Word Pairs in Tweet in G5:
[35] policy,staff [35] talked,former [35] analysts,practitioners [35] former,twitter [35] agree,safety [35] twitter,policy [35] safety,stake [35] staff,digital [35] digital,analysts [35] practitioners,agree Top Word Pairs in Tweet in G6:
[12] social,media [5] assessor,office [4] everything,organization [4] creates,reflects [4] #localgov,#socialgov [4] govt,communications [4] brand,#gsmcon2022 [4] reflects,brand [4] #gsmcon2022,#socialgov [4] communications,everything Top Word Pairs in Tweet in G7:
[275] social,media [85] public,sector [68] #socialmedia,#socialgov [66] #publicsectormarketingshow,#socialmedia [50] media,strategy [45] plan,introducing [45] write,agency's [45] agency's,social [45] strategy,template [45] struggling,write Top Word Pairs in Tweet in G8:
[6] nextdoor,#gov [5] incredible,content [5] content,speakers [4] #localgov,#socialgov [4] days,incredible [4] first,responders [4] responders,government [4] #socialgov,#localgov [4] event,back [4] 12,days Top Word Pairs in Tweet in G9:
[3] read,more [3] #socialgov,community [3] more,#socialgov [3] membership,drop [3] favourite,tools [3] top,10 [3] help,find [3] tools,help [3] find,more [3] more,membership Top Word Pairs in Tweet in G10:
[13] social,media [10] hi,looking [10] job,spend [10] specialist,cityofboise [10] great,job [10] looking,social [10] lot,time [10] media,specialist [10] spend,lot [10] cityofboise,great Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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: