The graph represents a network of 5,510 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 06 August 2021 at 00:49 UTC.
The requested start date was Friday, 06 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 13-hour, 23-minute period from Friday, 30 July 2021 at 13:30 UTC to Tuesday, 03 August 2021 at 02:54 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 : 5510
Unique Edges : 4351
Edges With Duplicates : 14252
Total Edges : 18603
Number of Edge Types : 5
Retweet : 5926
MentionsInRetweet : 8183
Tweet : 853
Mentions : 3377
Replies to : 264
Self-Loops : 953
Reciprocated Vertex Pair Ratio : 0.0156885531667635
Reciprocated Edge Ratio : 0.0308924485125858
Connected Components : 472
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 4164
Maximum Edges in a Connected Component : 16493
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.985773
Graph Density : 0.000287930095580273
Modularity : 0.425842
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,510 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 06 August 2021 at 00:49 UTC.
The requested start date was Friday, 06 August 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 13-hour, 23-minute period from Friday, 30 July 2021 at 13:30 UTC to Tuesday, 03 August 2021 at 02:54 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 : GraphServerTwitterSearch
Graph Term : smartcity OR smartcities
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:
[2184] ப,க [1701] த,ம [1701] ம,க [1681] ந,த [1659] த,ட [1649] #smartcity,என [1649] என,ற [1434] ச,ல [1298] க,க [1216] ம,ப Top Word Pairs in Tweet in G1:
[2040] ப,க [1657] ந,த [1643] த,ட [1642] த,ம [1642] ம,க [1633] #smartcity,என [1633] என,ற [1374] ச,ல [1082] ம,ப [1079] அர,ம Top Word Pairs in Tweet in G2:
[1001] #iot,#iiot [636] #rstats,#reactjs [504] #iiot,#iotpl [451] #ai,#python [451] #python,#rstats [439] #reactjs,#iot [424] #machinelearning,#ai [421] #analytics,#machinelearning [354] #iotpl,#iotcommunity [316] #iiot,#linux Top Word Pairs in Tweet in G3:
[171] mohua_india,build [171] build,smarter [171] smarter,cities [171] cities,power [171] power,data [171] data,analytics [170] aws_gov,mohua_india [170] analytics,#smartcity [55] म,र [47] र,ट Top Word Pairs in Tweet in G4:
[151] smart,cities [37] g20,global [36] global,smart [35] cities,alliance [35] alliance,roadmap [35] roadmap,organized [35] organized,around [35] around,five [35] five,core [35] core,principles Top Word Pairs in Tweet in G5:
[24] valuable,lessons [24] lessons,learned [24] learned,#selfdriving [24] #selfdriving,cars [24] cars,kitten [24] kitten,hiding [24] hiding,underneath [24] underneath,one [24] one,read [24] read,article Top Word Pairs in Tweet in G6:
[97] म,र [92] स,म [92] र,ट [92] ट,स [92] स,ट [92] ट,बनकर [92] बनकर,त [92] त,य [92] य,र [92] र,ह Top Word Pairs in Tweet in G7:
[247] க,க [246] க,ம [125] ப,க [125] க,ட [124] அர,ம [124] ம,ப [124] க,கம [124] ப,ப [123] ச,ன [123] ன,ன Top Word Pairs in Tweet in G8:
[301] स,ट [236] ट,स [179] स,म [179] म,र [179] र,ट [122] ट,म [122] क,स [61] ट,जन [61] जन,फ [61] फ,र Top Word Pairs in Tweet in G9:
[47] true,#smartcity [47] #smartcity,stuff [47] stuff,#bhubaneswar [47] #bhubaneswar,becomes [47] becomes,first [47] first,city [47] city,india [47] india,vaccinate [47] vaccinate,100 [47] 100,population Top Word Pairs in Tweet in G10:
[5] अवसर,पर [5] क,र [5] क,प [4] द,क [4] क,क [4] ज,क [4] क,अवसर [4] स,दर [4] प,ण [4] bjp4mp,satna_smartcity 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 G4:
Top Replied-To in G6:
Top Replied-To in G9:
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 G8:
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: