The graph represents a network of 4,039 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, 07 January 2022 at 01:37 UTC.
The requested start date was Friday, 07 January 2022 at 01:01 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 5-day, 0-hour, 45-minute period from Saturday, 01 January 2022 at 02:15 UTC to Thursday, 06 January 2022 at 03:00 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 : 4039
Unique Edges : 5118
Edges With Duplicates : 16207
Total Edges : 21325
Number of Edge Types : 5
Mentions : 4366
Retweet : 5700
MentionsInRetweet : 9852
Replies to : 380
Tweet : 1027
Self-Loops : 1201
Reciprocated Vertex Pair Ratio : 0.0233574962604994
Reciprocated Edge Ratio : 0.0456487519676186
Connected Components : 392
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 3103
Maximum Edges in a Connected Component : 19935
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.488502
Graph Density : 0.00054532694539287
Modularity : 0.343533
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,039 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, 07 January 2022 at 01:37 UTC.
The requested start date was Friday, 07 January 2022 at 01:01 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 5-day, 0-hour, 45-minute period from Saturday, 01 January 2022 at 02:15 UTC to Thursday, 06 January 2022 at 03:00 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:
[1590] #machinelearning,#ai [1513] #rstats,#reactjs [1485] #ai,#python [1464] #reactjs,#iot [1450] #python,#rstats [934] #analytics,#machinelearning [872] #ml,#linux [842] #iot,#ml [732] #iot,#iiot [696] #analyics,#machinelearning Top Word Pairs in Tweet in G1:
[1209] #machinelearning,#ai [1145] #rstats,#reactjs [1130] #ai,#python [1104] #python,#rstats [1104] #reactjs,#iot [741] #analytics,#machinelearning [650] #ml,#linux [630] #iot,#ml [501] #analyics,#machinelearning [387] #iot,#iiot Top Word Pairs in Tweet in G2:
[101] swachhbharat,swachsurvekshan [99] andhrapradeshcm,swachhbharat [91] swachsurvekshan,swachhbharatgov [79] mohua_india,andhrapradeshcm [78] cdma_municipal,coc_gvmc [74] cdma_municipal,vizag_smartcity [65] coc_gvmc,cdma_municipal [64] gvmc_official,mohua_india [48] swachhbharatgov,coc_gvmc [47] swachhbharat,swachhbharatgov Top Word Pairs in Tweet in G3:
[68] smart,city [45] #selfdrivingcars,#ai [44] #ai,#iot [38] #iot,#5g [31] #iot,#iiot [22] #iiot,#iotpl [19] smart,cities [19] #ar,#design [17] news,article [16] த,த Top Word Pairs in Tweet in G4:
[83] smart,cities [62] go,arc_advisory [62] arc_advisory,#firstperson [48] #iot,#smartcities [47] #firstperson,#marketresearch [36] #marketresearch,including [31] including,study [31] #digitaltransformation,#iot [29] smart,city [18] #ai,#iot Top Word Pairs in Tweet in G5:
[180] #neomcoin,#neomblockchain [180] #neomblockchain,#bitmart [175] future,smart [174] smart,city [174] city,cryptocurrency [174] cryptocurrency,way [174] way,ready [174] ready,#neomcoin [173] neomblockchain,future [173] #bitmart,#cryptocurr Top Word Pairs in Tweet in G6:
[26] smart,city [11] smart,cities [10] learn,more [8] future,cities [8] cities,fewer [8] fewer,cars [8] cars,better [8] better,homes [8] homes,#smartcities [7] க,க Top Word Pairs in Tweet in G7:
[177] #iot,#iiot [137] #iiot,#iotpl [101] gave,kred [101] kred,#influence [89] #ai,#ml [88] #iotpl,#iotcommunity [77] #tech,#technology [65] #intrernetofthings,#tech [65] #technology,#5g [65] #industry40,#smartcity Top Word Pairs in Tweet in G8:
[155] #smartcity,mission [155] mission,#govt [155] #govt,release [155] release,rs [155] rs,136 [155] 136,cr [155] cr,central [155] central,share [155] share,development [155] development,#srinagar Top Word Pairs in Tweet in G9:
[362] #machinelearning,#ai [350] #rstats,#reactjs [344] #reactjs,#iot [339] #ai,#python [329] #python,#rstats [212] #ml,#linux [204] #iot,#ml [186] #analyics,#machinelearning [185] #analytics,#machinelearning [122] #iot,#iiot Top Word Pairs in Tweet in G10:
[82] time,waste [82] waste,find [82] find,booth [82] booth,#9371 [82] #9371,smart [82] smart,cities [82] cities,section [82] section,lvcc [82] lvcc,#ces2022 [82] #ces2022,#smartcities Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: