The graph represents a network of 6,134 Twitter users whose recent tweets contained "Mortuary", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 01 June 2022 at 21:02 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 46-minute period from Tuesday, 24 May 2022 at 13:01 UTC to Wednesday, 01 June 2022 at 20:48 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 : 6134
Unique Edges : 7623
Edges With Duplicates : 8180
Total Edges : 15803
Number of Edge Types : 5
Retweet : 4709
Replies to : 1202
Mentions : 1392
Tweet : 1290
MentionsInRetweet : 7210
Self-Loops : 1353
Reciprocated Vertex Pair Ratio : 0.00834253465832413
Reciprocated Edge Ratio : 0.0165470251855457
Connected Components : 1474
Single-Vertex Connected Components : 573
Maximum Vertices in a Connected Component : 480
Maximum Edges in a Connected Component : 9179
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.26241
Graph Density : 0.000218475249563913
Modularity : 0.505972
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,134 Twitter users whose recent tweets contained "Mortuary", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 01 June 2022 at 21:02 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 46-minute period from Tuesday, 24 May 2022 at 13:01 UTC to Wednesday, 01 June 2022 at 20:48 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 : TwitterSearch
Graph Term : Mortuary
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1135] pmoindia,hmoindia [590] ips_nupurprasad,ips_association [449] hmoindia,kirenrijiju [444] ips_association,pmoindia [423] ncb,challenge [423] challenge,rc [423] rc,bail [423] bail,sc [396] enter,mortuary [370] mortuary,ips_nupurprasad Top Word Pairs in Tweet in G1:
[43] mortuary,assistant [27] mortuary,science [20] work,mortuary [20] working,mortuary [20] body,mortuary [19] mortuary,standard [18] mortuary,attendant [17] mortuary,hotel [17] hotel,worker [16] oau,student Top Word Pairs in Tweet in G2:
[1135] pmoindia,hmoindia [590] ips_nupurprasad,ips_association [449] hmoindia,kirenrijiju [444] ips_association,pmoindia [423] ncb,challenge [423] challenge,rc [423] rc,bail [423] bail,sc [389] enter,mortuary [370] mortuary,ips_nupurprasad Top Word Pairs in Tweet in G3:
[155] mortuary,kabag [134] wangu,wa [134] akitoka,mortuary [130] nimekutana,peddy [130] peddy,wangu [130] wa,mutura [130] mutura,akitoka [130] kabag,breathe [104] mortuary,attendant [82] attendant,ck Top Word Pairs in Tweet in G4:
[81] deposited,mortuary [81] mortuary,sickening [81] sickening,think [81] think,government [81] government,need [81] need,come [81] come,health [81] health,system [81] system,check [81] check,capability Top Word Pairs in Tweet in G5:
[156] bona,kuku [156] kuku,nesetse [156] nesetse,ele [156] ele,byang [156] byang,ele [156] ele,family [156] family,hao [156] hao,bao [156] bao,hlapisha [156] hlapisha,ko Top Word Pairs in Tweet in G6:
[98] state,art [91] art,mortuary [65] mortuary,facilities [50] professional,care [50] care,state [48] mortuary,#thetransitionsway [38] corpse,started [38] started,running [38] running,saw [38] saw,coming Top Word Pairs in Tweet in G7:
[6] make,feel [4] rent,free [4] anne,hathaway [4] anymore,need [4] need,someone [4] gt,gt [4] one,man [4] kill,people [4] thing,think [3] baby,girl Top Word Pairs in Tweet in G8:
[21] mortuary,slab [20] one,parents [20] parents,those [20] those,slaughtered [20] slaughtered,kids [20] kids,show [20] nra,rally [20] rally,giant [20] giant,posters [20] posters,child Top Word Pairs in Tweet in G9:
[79] working,mortuary [79] mortuary,funny [79] funny,die [79] die,still [79] still,go [79] go,back [79] back,work Top Word Pairs in Tweet in G10:
[45] looking,job [45] job,mortuary [45] mortuary,hurts [45] hurts,seeing [45] seeing,babes [45] babes,buried [45] buried,virgin [32] know,mortuary [32] mortuary,attendant [32] attendant,fck 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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:
Top Tweeters in G10: