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Avargal: Legacy, Plot & Soundtrack
Avargal (pronounced transl. They) is a 1977 Indian Tamil-language romantic drama film written and directed by K. Balachander. The film stars Sujatha, Kamal Haasan, Rajinikanth and Ravikumar. A triangular love story, it revolves around a woman who is caught between the man she fell in love with and her former sadistic husband who is supposedly reformed…
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Avargal topic overview
The analysis highlights Legacy, Plot and Soundtrack as prominent areas in the source structure around Avargal.
Related topics
38
Source areas
7
Connected nodes
56
Extracted relationships
60
Concept neighborhoods
20
Bridge connections
56
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.
Overview · 12 topics
Legacy · 10 topics
Plot · 6 topics
Soundtrack · 4 topics
Cast · 3 topics
Release and reception · 2 topics
Production · 1 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.
Cinematography
B. S. Lokanath
Country
India
Directed by
K. Balachander
Edited by
N. R. Kittu
Language
Tamil
Music by
M. S. Viswanathan
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Avargal 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 Avargal shows recurring relationship patterns in the source. For example, Avargal → Arangetram, Aval Oru Thodar Kathai, Azhagan, Balachander, Balachander's, Baradwaj Rangan, Clips, Dadasaheb Phalke Award, He, In, Iru Kodugal, January, Kamal, Kamal Haasan, Malathi Rangarajan, Malayali, Rajinikanth, Rajni's, Rajnikant, Rajnikanth Another extracted example is Avargal → Although, Ananda Vikatan, Balachander's, Best Actress, February, Filmfare Award, He, Indian Panorama, Kalki, Kanthan, March, Ravikumar, Sujatha, Sujatha's, Tamil, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 Avargal. Examples in this analysis include Avargal → Cinematography → B. S. Lokanath and Avargal → Country → India. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Avargal
Cinematography
B. S. Lokanath
1.00
infobox
Avargal
Country
India
1.00
infobox
Avargal
Directed by
K. Balachander
1.00
infobox
Avargal
Edited by
N. R. Kittu
1.00
infobox
Avargal
Language
Tamil
1.00
infobox
Avargal
Music by
M. S. Viswanathan
1.00
infobox
Avargal
Produced by
P. R. Govindarajan J. Duraisamy
1.00
infobox
Avargal
Production company
Kalakendra Movies
1.00
infobox
Avargal
Release date
25 February 1977 (1977-02-25)
1.00
infobox
Avargal
Running time
167 minutes
1.00
infobox
Avargal
Starring
Sujatha Kamal Haasan Rajinikanth Ravikumar
1.00
infobox
Avargal
Written by
K. Balachander
1.00
infobox
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 Avargal bring nearby vocabulary together. In this analysis, examples include One, Balachander's and References. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Avargal
One
Balachander's
References
Directed
Best
Film
Balachander
Production
Release
Award
Date
Also
avargal
One
Balachander's
References
Directed
Best
Film
Balachander
Production
Release
Award
Date
Also
kamal haasan
Sujatha
Ravikumar
Rajinikanth
Haasan
Kamal
Date
Husband
Best
Sadistic
Also
One
Johnny
filmfare award for best actress – tamil
Best
Indian
Sujatha
Film
Tamil
One
Date
Balachander's
Also
Kamal
Ravikumar
Viswanathan
romantic drama film
Best
Haasan
Sujatha
Award
Indian
Tamil
Balachander's
Kamal
One
Ravikumar
Balachander
Rajinikanth
british film institute
Best
Haasan
Sujatha
Award
Indian
Tamil
Balachander's
Kamal
One
Ravikumar
Balachander
Rajinikanth
triangular love story
Johnny
Production
Release
Anu
Date
Husband
Junior
Sadistic
Seeks
Viswanathan
Reveals
Tamil
rajinikanth
Ravikumar
Sujatha
Date
Best
Also
One
Johnny
Leelavathi
Ramanathan
Bharani
Anu
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 Avargal, one of the stronger structural bridges in this analysis connects Avargal with Overview. 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.
Avargal
Nodes57
Edges56
Triples60
Avg. degree1.96
Density0.035088
Components1
Source & methodology
TTTA analyzes the structure around Avargal to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Legacy, Plot & Soundtrack, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
