The graph represents a network of 9,358 Twitter users whose recent tweets contained "#breakingnews", 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 Thursday, 05 January 2023 at 20:31 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 39-minute period from Wednesday, 04 January 2023 at 12:01 UTC to Thursday, 05 January 2023 at 17:40 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 : 9358
Unique Edges : 11795
Edges With Duplicates : 11845
Total Edges : 23640
Number of Edge Types : 5
Retweet : 9801
MentionsInRetweet : 4178
Tweet : 7889
Mentions : 1702
Replies to : 70
Self-Loops : 7983
Reciprocated Vertex Pair Ratio : 0.00708542313510071
Reciprocated Edge Ratio : 0.0140711462450593
Connected Components : 904
Single-Vertex Connected Components : 540
Maximum Vertices in a Connected Component : 7240
Maximum Edges in a Connected Component : 17923
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.937482
Graph Density : 0.00014446773210991
Modularity : 0.515363
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,358 Twitter users whose recent tweets contained "#breakingnews", 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 Thursday, 05 January 2023 at 20:31 UTC.
The tweets in the network were tweeted over the 1-day, 5-hour, 39-minute period from Wednesday, 04 January 2023 at 12:01 UTC to Thursday, 05 January 2023 at 17:40 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 : #breakingnews
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:
[2622] faiz,hamid [2350] न,क [1720] म,क [1716] र,क [1620] ट,क [1614] र,म [1476] स,ल [1445] क,ल [1312] gen,bajwa [1312] hand,over Top Word Pairs in Tweet in G1:
[1421] ट,क [1371] स,ल [1275] न,क [1206] म,क [1020] र,म [1008] द,व [881] ल,म [845] स,ट [803] र,ट [782] प,स Top Word Pairs in Tweet in G2:
[2548] faiz,hamid [1274] hand,over [1274] hamid,gave [1274] hamid,dgi [1274] gen,faiz [1274] within,isi [1274] during,last [1274] gave,videos [1274] gen,bajwa [1274] claim,during Top Word Pairs in Tweet in G3:
[883] #bolnews,#breakingnews [870] #breakingnews,#bolnews [799] عمران,خان [318] ارشد,شریف [299] بول,نیوز [293] #bolnews,#imrankhan [291] #breakingnews,#imrankhan [226] براہ,راست [217] کے,نام [208] #imrankhan,imrankhanpti Top Word Pairs in Tweet in G4:
[158] breaking,news [130] #keralanews,#breakingnews [129] #breakingnewskerala,#newsfromdistricts [129] #breakingnews,#breakingnewskerala [129] #chukkunews,#keralanews [117] #breakingnews,#news [108] #news,#breakingnews [96] #breakingnews,#breakingnewsindia [95] #allthenewsindia,#breakingnews [95] #breakingnewsindia,#allthenewstamil Top Word Pairs in Tweet in G5:
[308] #news,#breakingnews [293] #socialmedia,#news [236] भ,रत [228] #media,#breakingnews [227] #newsupdates,#instagram [227] #tips,#advice [227] #stories,#articles [227] #tausiinsider,#lifehack [227] #lifehack,#insider [227] #instagram,#media Top Word Pairs in Tweet in G6:
[442] र,क [437] न,क [323] क,य [322] क,म [267] क,ल [252] त,म [242] लड,क [224] ल,म [222] फ,ल [222] क,त Top Word Pairs in Tweet in G7:
[903] ன,வ [608] க,க [604] ச,ல [602] ட,டல [602] க,கப [602] கப,பட [602] ச,ன [602] ன,ன [602] பட,ட [306] க,ம Top Word Pairs in Tweet in G8:
[174] म,द [143] र,क [127] द,श [123] क,प [122] त,र [106] र,म [104] न,क [95] प,र [93] सम,म [90] ज,न Top Word Pairs in Tweet in G9:
[110] क,स [108] क,र [73] न,क [70] क,ल [68] र,क [65] य,क [55] त,र [55] र,म [53] र,ट [51] स,क Top Word Pairs in Tweet in G10:
[149] #haldwani,#supremecourt [149] supreme,court [149] evictions,#haldwani [149] stay,haldwani [149] court,orders [149] #breakingnews,supreme [149] haldwani,evictions [149] orders,stay [18] #delhihighcourt,criminality [18] posted,#altnews Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: