The graph represents a network of 4,096 Twitter users whose recent tweets contained "#addiction", 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 Friday, 27 March 2020 at 01:01 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 32-minute period from Thursday, 19 March 2020 at 02:00 UTC to Friday, 27 March 2020 at 00:33 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 : 4096
Unique Edges : 4044
Edges With Duplicates : 2601
Total Edges : 6645
Number of Edge Types : 5
Retweet : 2059
Tweet : 2492
MentionsInRetweet : 1020
Mentions : 889
Replies to : 185
Self-Loops : 2555
Reciprocated Vertex Pair Ratio : 0.00742009132420091
Reciprocated Edge Ratio : 0.0147308781869688
Connected Components : 1220
Single-Vertex Connected Components : 719
Maximum Vertices in a Connected Component : 1128
Maximum Edges in a Connected Component : 2130
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 9.021388
Graph Density : 0.000210455776862027
Modularity : 0.598883
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 4,096 Twitter users whose recent tweets contained "#addiction", 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 Friday, 27 March 2020 at 01:01 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 32-minute period from Thursday, 19 March 2020 at 02:00 UTC to Friday, 27 March 2020 at 00:33 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 : #addiction
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:
[453] #depression,#addiction [438] #addiction,#recovery [390] #twinsoul,#depression [367] #jesussaves,#jesusheals [306] #intercession,#twinsoul [301] #addiction,#hospitalabuse [282] #jesus,#jesussaves [274] #recovery,#addiction [250] #addictionrecovery,#addictiontreatment [249] #prayer,#intercession Top Word Pairs in Tweet in G1:
[134] #addiction,#recovery [82] #recovery,#addiction [36] #sober,#sobriety [35] #addiction,#mentalillness [33] #depression,#anxiety [32] alcoholism,mental [32] mental,disorder [28] #addiction,#addictionrecovery [25] #mentalillness,#recovery [24] #mentalhealth,#addiction Top Word Pairs in Tweet in G2:
[378] #twinsoul,#depression [354] #jesussaves,#jesusheals [309] #depression,#addiction [296] #intercession,#twinsoul [291] #addiction,#hospitalabuse [273] #jesus,#jesussaves [240] #prayer,#intercession [227] 36,26 [215] #hospitalabuse,#jesus [203] ezekiel,36 Top Word Pairs in Tweet in G3:
[38] loved,one [36] #addiction,loved [35] #substanceuse,#addiction [35] free,confidential [35] confidential,helpline [35] helpline,services [35] services,remain [35] remain,open [35] ensure,support [35] support,need Top Word Pairs in Tweet in G4:
[132] rewiring,brain [132] brain,#addiction [132] #addiction,work [46] #addiction,abuse [25] drug,#addiction [25] abuse,help [21] codeine,#addiction [21] abuse,#purpledrank Top Word Pairs in Tweet in G5:
[37] smart,recovery [36] #addictionrecovery,#recovery [36] #recovery,#addiction [34] good,reminder [34] reminder,borrowed [34] borrowed,smart [34] recovery,toolbox [34] toolbox,call [34] call,hula [34] hula,hoop Top Word Pairs in Tweet in G6:
[42] #socialisolation,during [42] during,#covid19 [42] #covid19,lead [42] lead,potential [42] potential,relapse [42] relapse,people [42] people,dealing [42] dealing,#addiction [42] #addiction,#substanceuse [42] #substanceuse,important Top Word Pairs in Tweet in G7:
[83] roads,destined [83] destined,destiny [83] destiny,bring [83] bring,world [83] world,award [83] award,winning [83] winning,short [83] short,stories [83] stories,poetry [83] poetry,#postapocalyptic Top Word Pairs in Tweet in G8:
[82] 発売中のginger５月号の特別付録をチェック,#付録 [82] #付録,#addiction [82] #addiction,#伊藤千晃 [82] #伊藤千晃,さん [82] さん,chiakiki_ito [2] #伊藤千晃,#chiaki [2] #chiaki,#ginger [2] #ginger,#addiction [2] #addiction,#ロング [2] #ロング,#メッシュ Top Word Pairs in Tweet in G9:
[62] controlled,meds [31] public,service [31] service,announcement [31] announcement,apparently [31] apparently,condition [31] condition,journalists [31] journalists,cover [31] cover,being [31] being,unable [31] unable,attain Top Word Pairs in Tweet in G10:
[28] #csapa,#caarud [25] #pharmaciens,peuvent [25] peuvent,renouveler [25] renouveler,traitements [25] traitements,moins [25] moins,mois [25] mois,ancienneté [25] ancienneté,par [25] par,#méthadone [25] #méthadone,sirop 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 G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: