The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Friday, 14 January 2022 at 19:49 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 1692
Unique Edges : 1236
Edges With Duplicates : 3218
Total Edges : 4454
Number of Edge Types : 5
Mentions : 2215
Retweet : 1161
MentionsInRetweet : 496
Replies to : 213
Tweet : 369
Self-Loops : 369
Reciprocated Vertex Pair Ratio : 0.00179640718562874
Reciprocated Edge Ratio : 0.00358637178720861
Connected Components : 23
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 1656
Maximum Edges in a Connected Component : 4411
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.998754
Graph Density : 0.000584725420212416
Modularity : 0.238888
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1 specified Twitter user (User List). The network was obtained from Twitter on Friday, 14 January 2022 at 19:49 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
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:
[93] #charity,#nonprofits [82] #nonprofit,#nptech [81] #news,#help [72] #help,#now [65] #nptech,#socent [44] spare,change [42] #charity,#nonprofit [40] #charity,#donate [39] #nonprofit,#marketing [38] #marketing,#nptech Top Word Pairs in Tweet in G1:
[93] #charity,#nonprofits [82] #nonprofit,#nptech [81] #news,#help [72] #help,#now [65] #nptech,#socent [44] spare,change [42] #charity,#nonprofit [40] #charity,#donate [39] #nonprofit,#marketing [38] #marketing,#nptech Top Word Pairs in Tweet in G2:
[3] #takumi_cubic,goodworld [3] goodworld,master [2] 작가님의,lt [2] 출간,기념 [2] 추첨,완독 [2] 완독,후 [2] 댓글,달면 [2] 달면,적립금 [2] 적립금,000원 [2] 000원,추첨 Top Word Pairs in Tweet in G3:
[2] 食べ物をhnとかアカウント名に含めてる人に,その食べ物が [2] その食べ物が,好きなんですか [2] 好きなんですか,ときいたら [2] ときいたら,いや別に [2] いや別に,って言われる謎の現象ほんとすき [2] 桐谷遥ちゃん夏曲でセンター飾って,うちわ Top Word Pairs in Tweet in G4:
[4] こういう誘いはイカン,あぶないあぶない [4] あぶないあぶない,レ [4] レ,スパルタもあるgoodworld Top Word Pairs in Tweet in G5:
[3] #goodworld,#prinzandrew [3] #prinzandrew,go [3] go,#prison [3] #prison,#borisjohnson [3] #borisjohnson,#gohome [3] #gohome,#djokovic [3] #djokovic,fly [3] fly,home [3] home,#djokovicout [3] #djokovicout,#nodjoke Top Word Pairs in Tweet in G7:
[2] livefulleigh,thanks [2] thanks,support [2] support,complete [2] complete,donation Top Word Pairs in Tweet in G10:
[2] #femaleentreprenurs,dale_pfeifer [2] dale_pfeifer,giving [2] giving,back [2] back,innovations [2] innovations,founder [2] founder,ceo [2] ceo,goodworld [2] goodworld,made [2] made,donating [2] donating,easier Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: