The graph represents a network of 950 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 May 2022 at 05:31 UTC.
The requested start date was Tuesday, 31 May 2022 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 13-day, 21-hour, 48-minute period from Tuesday, 17 May 2022 at 00:56 UTC to Monday, 30 May 2022 at 22:45 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 : 950
Unique Edges : 814
Edges With Duplicates : 1838
Total Edges : 2652
Number of Edge Types : 5
Mentions : 466
Retweet : 704
MentionsInRetweet : 1124
Tweet : 242
Replies to : 116
Self-Loops : 267
Reciprocated Vertex Pair Ratio : 0.0321872713972202
Reciprocated Edge Ratio : 0.0623671155209072
Connected Components : 130
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 723
Maximum Edges in a Connected Component : 2343
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.967116
Graph Density : 0.00156508235816095
Modularity : 0.419948
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 950 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 May 2022 at 05:31 UTC.
The requested start date was Tuesday, 31 May 2022 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 13-day, 21-hour, 48-minute period from Tuesday, 17 May 2022 at 00:56 UTC to Monday, 30 May 2022 at 22:45 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 : neo4j
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:
[104] knowledge,graph [95] graph,databases [86] certified,neo4j [81] neo4j,today [81] today,show [81] show,expertise [81] expertise,graph [81] databases,employer [81] employer,potential [81] potential,clients Top Word Pairs in Tweet in G1:
[86] certified,neo4j [83] graph,databases [81] neo4j,today [81] today,show [81] show,expertise [81] expertise,graph [81] databases,employer [81] employer,potential [81] potential,clients [81] clients,free Top Word Pairs in Tweet in G2:
[25] knowledge,graph [13] graph,neo4j [13] graph,solutions [13] using,neo4j [12] construct,knowledge [12] neo4j,cloud [12] solutions,using [11] #deeplearning,#learning [10] neo4j,#deeplearning [10] #learning,#ui Top Word Pairs in Tweet in G3:
[24] connected,data [23] data,fellowship [20] 2022,connected [17] neo4j,big [17] big,news [17] news,icijorg [17] icijorg,2022 [17] fellowship,live [17] live,find [17] find,role Top Word Pairs in Tweet in G4:
[14] upcoming,event [14] 2022,9am [14] 9am,pt [14] pt,12pm [14] 12pm,7pm [12] 7pm,eat [12] eat,30pm [10] tues,june [8] dataumbrella,upcoming [7] june,2022 Top Word Pairs in Tweet in G5:
[18] #neo4j,#neo4jcommunity [12] knowledge,graph [12] neo4j,#neo4j [11] graph,neo4j [10] graph,database [10] construct,knowledge [10] neo4j,cloud [9] neo4j,graph [9] neo4j,database [9] #neo4j,#graphdatabase Top Word Pairs in Tweet in G6:
[21] graph,algorithms [15] brilliant,book [15] book,graph [15] algorithms,practical [15] practical,examples [15] examples,#apachespark [15] #apachespark,neo4j [15] neo4j,amyhodler [15] amyhodler,markhneedham [14] kirkdborne,brilliant Top Word Pairs in Tweet in G7:
[30] hi,response [30] response,henrygayle [30] henrygayle,djbravo47 [30] djbravo47,#100daysofcode [30] #100daysofcode,#tech [30] #tech,#cybersecurity [30] #cybersecurity,fiverr [27] mdalami54029965,hi [25] knowledge,graph [13] graph,solutions Top Word Pairs in Tweet in G8:
[28] information,extraction [28] extraction,pipeline [27] tutorial,tb_tomaz [27] tb_tomaz,shows [27] shows,build [27] build,information [27] pipeline,neo4j [27] neo4j,spacy [26] spacy_io,tutorial [26] spacy,implementatio Top Word Pairs in Tweet in G9:
[28] knowledge,graph [26] graph,solutions [26] solutions,using [26] using,neo4j [24] neo4j,#neo4j [24] #neo4j,#datascientist [24] #datascientist,#deeplearning [24] #deeplearning,#iot [23] codingpseudo,knowledge [23] #iot,#artificial_inte Top Word Pairs in Tweet in G10:
[26] #hacktip,until [26] until,finally [26] finally,around [26] around,watching [26] watching,ippsec [26] ippsec,video [26] video,parsing [26] parsing,#bloodhound [26] #bloodhound,jsons [26] jsons,jq Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: