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Smart Voting: History, Art, Regions & Measurement
Smart Voting (Russian: Умное голосование, romanized: Umnoye golosovaniye) is a tactical voting strategy put forward by the team of Alexei Navalny with the aim of depriving the ruling United Russia party of votes in regional and federal elections. The goal of Smart Voting is to consolidate the votes of those who oppose the party which Navalny dubbed as…
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Smart Voting topic overview
The analysis highlights History, Art, Regions and Measurement as prominent areas in the source structure around Smart Voting.
Related topics
34
Source areas
4
Connected nodes
38
Extracted relationships
60
Concept neighborhoods
24
Bridge connections
38
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Censorship · 20 topics
Overview · 6 topics
Reception · 5 topics
History · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
28 November 2018; 7 years ago (2018-11-28)
Available in
Russia
Created by
Alexei Navalny
Founder
Anti-Corruption Foundation
Native name
Умное голосование Umnoye golosovaniye
URL
votesmart.appspot.com
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Smart Voting connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Smart Voting shows recurring relationship patterns in the source. For example, Smart Voting → Ahead, Anti-Corruption Foundation, Apple, Central Bank, GitHub, Google App Engine, Google Docs, Google Public DNS, Google's, IP, It, June, Later, Navalny's, On, Roskomnadzor, Russia, September, State Duma, Telegram Another extracted example is Smart Voting → Alexei Navalny, But, Everything, Governor, If, Initially, Moscow City Duma, Navalny, November, On, Petersburg, Russian, September, St, The, United Russia, We. Use these groups to spot repeated connection types before inspecting the individual relationships.
Smart Voting
Top relations
related to Censorship· 21
Smart Voting → Ahead, Anti-Corruption Foundation, Apple, Central Bank, GitHub, Google App Engine, Google Docs, Google Public DNS, Google's, IP, It, June, Later, Navalny's, On, Roskomnadzor, Russia, September, State Duma, Telegram
related to history· 17
Smart Voting → Alexei Navalny, But, Everything, Governor, If, Initially, Moscow City Duma, Navalny, November, On, Petersburg, Russian, September, St, The, United Russia, We
related to Reception· 15
Smart Voting → Abbas Gallyamov, According, Center's, Communist Party, For Gallyamov, Ivan Bolshakov, Moscow City Duma, Navalny’s Smart Voting, Russian, Russian Federation, Russian Public Opinion Research, September, United Russia, Vladimir Perevalov, While Smart Voting
Available in· 1
Smart Voting → Russia
Created by· 1
Smart Voting → Alexei Navalny
Founded· 1
Smart Voting → 28 November 2018; 7 years ago (2018-11-28)
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 60 structured relationships around Smart Voting. Examples in this analysis include Smart Voting → Available in → Russia and Smart Voting → Created by → Alexei Navalny. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Smart Voting
Available in
Russia
1.00
infobox
Smart Voting
Created by
Alexei Navalny
1.00
infobox
Smart Voting
Founded
28 November 2018; 7 years ago (2018-11-28)
1.00
infobox
Smart Voting
Founder
Anti-Corruption Foundation
1.00
infobox
Smart Voting
Native name
Умное голосование Umnoye golosovaniye
1.00
infobox
Smart Voting
URL
votesmart.appspot.com
1.00
infobox
Smart Voting
is a
tool that could deliver a significant blow to the ruling party
0.90
text
Smart Voting
related to Censorship
Ahead
0.60
section
Smart Voting
related to Censorship
State Duma
0.60
section
Smart Voting
related to Censorship
September
0.60
section
Smart Voting
related to Censorship
Roskomnadzor
0.60
section
Smart Voting
related to Censorship
Anti-Corruption Foundation
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Smart Voting bring nearby vocabulary together. In this analysis, examples include Voting, September and Google. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Smart Voting
Voting
September
Google
Russia
Election
Candidates
Roskomnadzor
Trademark
Navalny
Votes
Party
United
smart voting
Voting
September
Google
Russia
Election
Candidates
Roskomnadzor
Trademark
Navalny
Votes
Party
United
russian
Strategy
United
Navalny
Votes
Russia
Party
Romanized
According
Agree
Alexei
Candidate
Depriving
tactical voting
September
Google
Election
Candidates
Roskomnadzor
Trademark
Votes
United
Anti-corruption
Extremist
Foundation
Umnoye
alexei navalny
Golosovaniye
Umnoye
Голосование
Умное
Navalny
Romanized
Strategy
Anti-corruption
Depriving
Elections
Foundation
Ruling
united russia
United
Party
Strategy
Russian
According
Candidate
Political
Research
Vote
Election
Smart
Voting
2021 election
According
Anti-corruption
Foundation
Political
Research
September
Duma
Roskomnadzor
Russia
Smart
Voting
United
2019 moscow city duma election
Moscow
Duma
September
According
Anti-corruption
Foundation
Political
Research
Candidate
Election
Roskomnadzor
Vote
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Smart Voting, one of the stronger structural bridges in this analysis connects Smart Voting with Censorship. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Smart Voting
Nodes39
Edges38
Triples60
Avg. degree1.95
Density0.051282
Components1
Source & methodology
TTTA analyzes the structure around Smart Voting to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Regions & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
