The graph represents a network of 1,051 Twitter users whose recent tweets contained "Pakistan", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Friday, 23 September 2022 at 11:48 UTC.
The tweets in the network were tweeted over the 3-minute period from Friday, 23 September 2022 at 11:43 UTC to Friday, 23 September 2022 at 11:46 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.
Vertices : 1051
Unique Edges : 1379
Edges With Duplicates : 623
Total Edges : 2002
Number of Edge Types : 5
Retweet : 836
MentionsInRetweet : 521
Replies to : 103
Mentions : 283
Tweet : 259
Self-Loops : 261
Reciprocated Vertex Pair Ratio : 0.00370919881305638
Reciprocated Edge Ratio : 0.0073909830007391
Connected Components : 198
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 367
Maximum Edges in a Connected Component : 1112
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.323776
Graph Density : 0.00122604322414027
Modularity : 0.659513
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,051 Twitter users whose recent tweets contained "Pakistan", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Friday, 23 September 2022 at 11:48 UTC.
The tweets in the network were tweeted over the 3-minute period from Friday, 23 September 2022 at 11:43 UTC to Friday, 23 September 2022 at 11:46 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 : Pakistan
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:
[205] imran,khan [155] people,pakistan [146] teamipians,#imrankhanourlifeline [124] dr,shabazgil [124] shabazgil,thanks [124] thanks,people [124] pakistan,standing [124] standing,people [124] people,kept [124] kept,spreading Top Word Pairs in Tweet in G1:
[118] people,pakistan [117] dr,shabazgil [117] shabazgil,thanks [117] thanks,people [117] pakistan,standing [117] standing,people [117] people,kept [117] kept,spreading [117] spreading,propaganda [117] propaganda,against Top Word Pairs in Tweet in G2:
[7] primarily,one [7] one,argument [7] argument,made [7] made,interview [7] interview,bloomberg [7] bloomberg,given [7] given,vast [7] vast,scale [7] scale,extent [7] extent,destruction Top Word Pairs in Tweet in G3:
[165] imran,khan [146] teamipians,#imrankhanourlifeline [54] pakistan,tehreek [54] tehreek,insaf [52] #imrankhanourlifeline,teamipians [40] pakistan,teamipians [38] prime,minister [34] former,prime [32] chairman,imran [31] khan,teamipians Top Word Pairs in Tweet in G4:
[10] climate,change [4] pakistan,needs [3] floods,pakistan [3] سے,ملاقات [2] islamic,republic [2] republic,pakistan [2] death,toll [2] pushto,language [2] 2022,#eps [2] current,rate Top Word Pairs in Tweet in G5:
[4] imran,khan [4] naya__pakistan_,میرا [4] میرا,سافٹ [4] سافٹ,وئیر [4] وئیر,کرپٹ [4] کرپٹ,کرنے [4] کرنے,والوں [4] والوں,کو [4] کو,ناکامی [4] ناکامی,ہوگئی Top Word Pairs in Tweet in G6:
[20] yield,pakistan [20] pakistan,sukook [20] sukook,maturing [20] maturing,december [20] december,shot [20] shot,113 [20] 113,today [20] today,markets [20] markets,pricing [20] pricing,near Top Word Pairs in Tweet in G7:
[12] rizwan,babar [8] babar,azam [6] pakistan,babarazam258 [6] hai,aur [6] gai,bhi [5] babar,rizwan [5] two,best [5] best,batters [5] batters,world [5] world,lighted Top Word Pairs in Tweet in G8:
[23] children,future [23] future,pakistan [23] pakistan,really [23] really,painful [23] painful,scenes [23] scenes,pakistan [23] pakistan,#angelinajolie [3] smiling,best [3] best,way [3] way,hide Top Word Pairs in Tweet in G9:
[24] ahmadi,students [24] students,educators [24] educators,mithial [24] mithial,campus [24] campus,attock [24] attock,removed [24] removed,crime [24] crime,written [24] written,below [24] below,being Top Word Pairs in Tweet in G10:
[10] prime,minister [5] minister,important [5] important,government [5] government,american [5] american,puppet [5] puppet,money [5] money,laundering [5] laundering,case [5] case,pending [5] pending,against 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 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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
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: