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Dus (transl. Ten) is a 2005 Indian Hindi-language action spy thriller film directed by Anubhav Sinha, based on the lives of seven fictional SIT (Indian Special Investigation) officers. It stars Sanjay Dutt, Sunil Shetty, Abhishek Bachchan, Zayed Khan, Shilpa Shetty, Raima Sen, Esha Deol, and Dia Mirza. It was a critical and commercial success.
The analysis highlights Cast, Overview and Reception as prominent areas in the source structure around Dus.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Dus shows recurring relationship patterns in the source. For example, Dus → Abhishek Bachchan, Aditi, Aditya Singh, Aditya's, Agent Roy, Altaf, Anu Dheer, Anu's, ATC, BoseMayte Garcia, Canadian, Dan, Dan's, Danish Walia, Deedar De, Dia Mirza, Dus Bahane Kar Ke, Esha Deol, Ganesh, Gulshan Grover Another extracted example is Dus → According, Baaghi, Box Office India, Chhalaang, Deedar De, Dus Bahane, Indian, Lyrics, Mehboob, Panchhi Jalonvi, Shekhar, The, Vishal. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
siddhant jamwaal film atc shashank bomb himmat aditya dan dutt shetty khan car time neha sanjay box office altaf shilpa
TTTA extracted 96 structured relationships around Dus. Examples in this analysis include Dus → Box office → ₹38.83 crore and Dus → Cinematography → Vijay Kumar Arora. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dus | Box office | ₹38.83 crore | 1.00 | infobox |
| Dus | Cinematography | Vijay Kumar Arora | 1.00 | infobox |
| Dus | Country | India | 1.00 | infobox |
| Dus | Directed by | Anubhav Sinha | 1.00 | infobox |
| Dus | Distributed by | Karma Entertainment Zee Motion Pictures | 1.00 | infobox |
| Dus | Edited by | Rohan Desai | 1.00 | infobox |
| Dus | Language | Hindi | 1.00 | infobox |
| Dus | Music by | Songs: Vishal–Shekhar Background Score: Ranjit Barot | 1.00 | infobox |
| Dus | Narrated by | Sanjay Dutt | 1.00 | infobox |
| Dus | Produced by | Nitin Manmohan | 1.00 | infobox |
| Dus | Release date | 8 July 2005 (2005-07-08) | 1.00 | infobox |
| Dus | Running time | 147 minutes | 1.00 | infobox |
| Dus | Starring | Sanjay Dutt Sunil Shetty Abhishek Bachchan Zayed Khan | 1.00 | infobox |
| Dus | Written by | Story and Screenplay: Yash-Vinay Dialogues: Anubhav Sinha | 1.00 | infobox |
| Dus | is a | tribute to the Indian film director Mukul S | 0.90 | text |
The concept neighborhoods around Dus bring nearby vocabulary together. In this analysis, examples include Time, Film and Indian. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dus, one of the stronger structural bridges in this analysis connects Dus 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.
TTTA analyzes the structure around Dus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Cast, Overview & Reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dus · EN edition · Analysis: TopicsToTalkAbout