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Patidar: History & Measurement
Patidar (Gujarati: Pāṭīdār), formerly known as Kanbi (Gujarati: Kaṇabī), is an Indian land-owning and peasant caste and community native to Gujarat. The community comprises multiple sub-castes, most prominently the Levas and Kadvas. They form one of the dominant castes in Gujarat. The title of Patidar originally conferred to the land owning aristocratic…
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Patidar topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around Patidar.
Related topics
106
Source areas
5
Connected nodes
111
Extracted relationships
103
Concept neighborhoods
40
Bridge connections
111
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.
History · 32 topics
Reinventing identity · 32 topics
Notable people · 21 topics
Diaspora · 11 topics
Overview · 10 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.
Languages
Gujarati
Region
Principally in Gujarat, but also some other states of India
Religions
Hinduism
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 Patidar 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 Patidar shows recurring relationship patterns in the source. For example, Patidar → Agrarian Development, Capital, Castes, Clarendon Press, David, Delhi, Farms, Gidwani, Gujarat, Hardiman, India, Interrupted, ISBN, Jayprakash, JSTOR, Kanbi, Kanishka Publishing House, Kheda District, Man, Mario Another extracted example is Patidar → Charotar, Gujarat, Imam Shah, Islamic, Kadavas, Kadvas, Kanbis, Kheda, Kutch, Later, Leva Kanbis, Levas, Narayan Mistri, Piranas, Rajputs, Saurashtra, Since, Swaminarayan, The Anjana Kanbis, The Bhaktas. 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 103 structured relationships around Patidar. Examples in this analysis include Patidar → Languages → Gujarati and Patidar → Region → Principally in Gujarat, but also some other states of India. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Patidar
Languages
Gujarati
1.00
infobox
Patidar
Region
Principally in Gujarat, but also some other states of India
1.00
infobox
Patidar
Religions
Hinduism
1.00
infobox
Patidar
is a
holder of one of those allotments
0.90
text
vegetarianism
instance of
they adopted ritually pure practices
0.80
text
worship of Krishna rather than mother goddesses
instance of
they adopted ritually pure practices
0.80
text
US
instance of
many from the East African countries as well as from India have moved to countries
0.80
text
UK
instance of
many from the East African countries as well as from India have moved to countries
0.80
text
and Canada.Significant immigration from India to the United States started after the landmark Immigration
instance of
many from the East African countries as well as from India have moved to countries
0.80
text
Nationality Act of 1965
instance of
many from the East African countries as well as from India have moved to countries
0.80
text
Early immigrants after 1965 were highly educated professionals
instance of
many from the East African countries as well as from India have moved to countries
0.80
text
Subway
instance of
also dominate as franchisees of fast food restaurant chains
0.80
text
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 Patidar bring nearby vocabulary together. In this analysis, examples include Gujarat, Community and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
gujarati
Kanbi
Gujarat
Indian
Brahmins
India
Patidar
Community
Also
Banias
Peasant
Land
Economic
caste
India
Kurmis
Status
Kanbis
Patidars
Patidar
Form
Peasant
Economic
Indian
Brahmins
Claimed
gujarat
Kanbi
Peasant
Patidar
Gujarati
Indian
India
Form
District
Levas
Raj
Castes
British
2011 socio economic and caste census
Form
India
Kurmis
Status
Indian
Patel
Also
District
Known
Land
Gujarati
Isbn
central gujarat
Kanbi
Peasant
Patidar
Gujarati
Indian
India
Form
District
Levas
Raj
Castes
British
northern gujarat
Kanbi
Peasant
Patidar
Gujarati
Indian
India
Form
District
Levas
Raj
Castes
British
southern gujarat
Kanbi
Peasant
Patidar
Gujarati
Indian
India
Form
District
Levas
Raj
Castes
British
maratha kanbis
Also
Status
Century
Rajputs
Claimed
Land
Kshatriya
Patidar
Patidars
Economic
District
Known
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 Patidar, one of the stronger structural bridges in this analysis connects Patidar with History. 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.
Patidar
Nodes112
Edges111
Triples103
Avg. degree1.98
Density0.017857
Components1
Source & methodology
TTTA analyzes the structure around Patidar to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
