The graph represents a network of 5,577 Twitter users whose tweets in the requested range contained "fintech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 August 2020 at 16:12 UTC.
The requested start date was Monday, 24 August 2020 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 1-day, 16-hour, 6-minute period from Thursday, 20 August 2020 at 20:27 UTC to Saturday, 22 August 2020 at 12:33 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 : 5577
Unique Edges : 5270
Edges With Duplicates : 10730
Total Edges : 16000
Number of Edge Types : 5
Retweet : 3868
MentionsInRetweet : 6276
Tweet : 3220
Mentions : 2411
Replies to : 225
Self-Loops : 3388
Reciprocated Vertex Pair Ratio : 0.0228304222252785
Reciprocated Edge Ratio : 0.0446416565819551
Connected Components : 1522
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 2744
Maximum Edges in a Connected Component : 11811
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.891121
Graph Density : 0.000239152195338047
Modularity : 0.431958
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,577 Twitter users whose tweets in the requested range contained "fintech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 August 2020 at 16:12 UTC.
The requested start date was Monday, 24 August 2020 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 1-day, 16-hour, 6-minute period from Thursday, 20 August 2020 at 20:27 UTC to Saturday, 22 August 2020 at 12:33 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 : GraphServerTwitterSearch
Graph Term : fintech
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:
[422] fintech,zoom [359] published,fintech [206] #fintech,#ai [189] #blockchain,#fintech [180] #fintech,#insurtech [144] #fintech,#blockchain [133] #fintech,#cybersecurity [129] #iot,#ai [124] #ai,#blockchain [121] fintechzoom,article Top Word Pairs in Tweet in G1:
[40] regulator,sees [39] bank,regulator [39] sees,potential [38] potential,fintech [38] fintech,solutions [38] solutions,legacy [37] legacy,banking [36] banking,issues [31] fintech,startups [26] covid,19 Top Word Pairs in Tweet in G2:
[157] #fintech,#ai [140] #fintech,#insurtech [93] #insurtech,#fintech [80] fintechzoom,article [76] fintech,zoom [74] #ai,#fintech [67] #bigdata,#fintech [62] #ai,#machinelearning [62] #ai,#artificialintelligence [62] published,fintech Top Word Pairs in Tweet in G3:
[16] covid,19 [15] #fintech,#regtech [11] #regtech,#fintech [11] #healthtech,#fintech [11] 19,tech [11] women,led [10] global,partnership [10] hong,kong [10] update,providing [10] providing,covid Top Word Pairs in Tweet in G4:
[94] #fintech,firms [83] firms,leverage [83] leverage,#ai [83] #ai,build [83] build,chatbots [83] chatbots,virtual [83] virtual,assistants [83] assistants,deliver [83] deliver,automated [83] automated,digital Top Word Pairs in Tweet in G5:
[116] yes,first [116] first,job [116] job,tech [116] tech,age [116] age,39 [116] 39,apprentice [116] apprentice,junior [116] junior,software [116] software,engineer [116] engineer,starting Top Word Pairs in Tweet in G6:
[26] ecobank,fintech [24] fintech,challenge [16] 10am,gmt [13] tech,people [13] people,leave [13] leave,fintech [13] fintech,alone [13] alone,come [13] come,disrupt [13] disrupt,estate Top Word Pairs in Tweet in G7:
[87] mas,chief [87] chief,fintech [87] fintech,officer [87] officer,sopnendu [87] sopnendu,mohanty [87] mohanty,sopnendu [87] sopnendu,shares [87] shares,#digitisation [87] #digitisation,create [87] create,nimbler Top Word Pairs in Tweet in G8:
[7] top,100 [7] 100,digital [7] digital,banks [6] overview,top [6] banks,congrats [6] meet,special [6] special,guest [6] guest,gmd [6] gmd,md [6] md,myaccessbank Top Word Pairs in Tweet in G9:
[21] ripple,#hiring [21] apply,today [21] today,greenhouse [21] greenhouse,#jobs [21] #jobs,#fintech [19] jchaunceykelly,ripple [14] #hiring,technical [14] technical,services [14] services,engineer [14] engineer,apply Top Word Pairs in Tweet in G10:
[309] fintech,zoom [289] published,fintech [86] #crypto,#cryptocurrency [85] zoom,fintechzoom [82] fintechzoom,#fintech [82] #fintech,#blockchain [79] #blockchain,#crypto [79] #cryptocurrency,#ico [53] read,more [33] fintechzoom,article Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: