The graph represents a network of 3,756 Twitter users whose recent tweets contained "orthopedic", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/7/2023 12:00:00 AM and 8/14/2023 12:00:00 AM. The network was obtained from Twitter on Monday, 14 August 2023 at 19:33 UTC.
The tweets in the network were tweeted over the 3120-day, 18-hour, 45-minute period from Tuesday, 27 January 2015 at 17:48 UTC to Monday, 14 August 2023 at 12:33 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 : 3756
Unique Edges : 2154
Edges With Duplicates : 2881
Total Edges : 5035
Number of Edge Types : 7
Replies to : 1111
Tweet : 1564
MentionsInReplyTo : 1659
Mentions : 530
Quote : 133
MentionsInQuote : 33
MentionsInQuoteReply : 5
Self-Loops : 1772
Reciprocated Vertex Pair Ratio : 0.0201816347124117
Reciprocated Edge Ratio : 0.039564787339268
Connected Components : 1825
Single-Vertex Connected Components : 1059
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 270
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.190414
Graph Density : 0.000143365821077754
Modularity : 0.506835
NodeXL Version : 1.0.1.519
Data Import : The graph represents a network of 3,756 Twitter users whose recent tweets contained "orthopedic", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 8/7/2023 12:00:00 AM and 8/14/2023 12:00:00 AM. The network was obtained from Twitter on Monday, 14 August 2023 at 19:33 UTC.
The tweets in the network were tweeted over the 3120-day, 18-hour, 45-minute period from Tuesday, 27 January 2015 at 17:48 UTC to Monday, 14 August 2023 at 12:33 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 : TwitterSearch3
Graph Term : orthopedic
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:
[279] orthopedic,surgeon [121] orthopaedic,surgeon [114] orthopedic,surgery [79] orthopedic,surgeons [78] learn,more [57] sports,medicine [52] orthopedic,shoes [49] orthopaedic,surgery [43] orthopedic,doctor [40] physical,therapy Top Word Pairs in Tweet in G1:
[113] orthopedic,surgeon [59] orthopedic,surgery [59] orthopaedic,surgeon [56] learn,more [35] sports,medicine [33] orthopedic,surgeons [31] physical,therapy [24] orthopedic,shoes [24] orthopedic,care [23] schedule,appointment Top Word Pairs in Tweet in G2:
[18] vaja,sy [18] ki,vaja [15] kha,ay [15] mar,kha [14] ay,awam [14] ham,dafa [14] dafa,mar [14] ki,kami [13] awam,ki [13] kami,ki Top Word Pairs in Tweet in G3:
[14] دی,رات [13] کلمہ,حق [13] شہادت,کلمہ [13] آزادی,دا [13] آؤ,جوانو [13] جذبہ,شہادت [13] حق,سنائیے [13] دا,دن [13] منائیے,جذبہ [13] جوانو,آزادی Top Word Pairs in Tweet in G5:
[2] charges,laparotomy [2] equalise,charges [2] comparison,branches [2] maximum,risk [2] needs,equalise [2] risk,responsibility [2] govt,needs [2] timesofindia,govt [2] charges,specialities [2] branches,specially Top Word Pairs in Tweet in G6:
[3] ikrmmrortho,orthopedic_ham [3] neck,sign [3] giraffe,neck [3] kayoko_ko_ko,orthopedic_ham [2] soap,bubble [2] pistol,grip [2] snake,eyes [2] pencil,cup [2] sunburst,appearance [2] grip,deformity Top Word Pairs in Tweet in G7:
[5] soft,tissue [5] dog,bed [4] advance,orthopedic [4] 3dsystems,theradaptive [4] tissue,repair [4] partnership,advance [4] orthopedic,soft [3] repair,using [3] regenerative,therapeutics [3] sofa,removable Top Word Pairs in Tweet in G9:
[3] cernovich,elonmusk [3] back,surgery [3] orthopedic,surgeon [2] surgery,neurosurgeon [2] 2nd,opinion [2] orthopedic,surgeons [2] elonmusk,tillsbury1 [2] 50,chance [2] evasteslasplaid,elonmusk [2] pro,tip Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: