MetricsΒΆ
Example
>>> from techminer2.packages.networks.co_occurrence.descriptors import NetworkMetrics
>>> df = (
... NetworkMetrics()
... #
... # FIELD:
... .having_terms_in_top(20)
... .having_terms_ordered_by("OCC")
... .having_term_occurrences_between(None, None)
... .having_term_citations_between(None, None)
... .having_terms_in(None)
... #
... # COUNTERS:
... .using_term_counters(True)
... #
... # NETWORK:
... .using_association_index("association")
... #
... # DATABASE:
... .where_root_directory_is("examples/fintech/")
... .where_database_is("main")
... .where_record_years_range_is(None, None)
... .where_record_citations_range_is(None, None)
... .where_records_match(None)
... #
... .run()
... )
>>> df.head(15)
Degree ... PageRank
FINTECH 38:6131 19 ... 0.149865
REGULATORS 08:0974 18 ... 0.062888
THE_DEVELOPMENT 09:1293 16 ... 0.059116
PRACTITIONER 06:1194 16 ... 0.041293
TECHNOLOGIES 15:1633 15 ... 0.080583
FINANCIAL_TECHNOLOGIES 12:1615 15 ... 0.070783
INNOVATION 08:1816 15 ... 0.047284
FINANCE 10:1188 14 ... 0.043346
BANKS 08:1049 14 ... 0.048601
DATA 07:1086 14 ... 0.035925
SERVICES 06:1089 14 ... 0.041161
CONSUMERS 07:0925 13 ... 0.040264
THE_FINANCIAL_SERVICES_INDUSTRY 06:1237 13 ... 0.046934
FINANCIAL_SERVICES 06:1116 13 ... 0.043357
FINTECH_COMPANIES 05:1072 13 ... 0.031250
[15 rows x 4 columns]
Example
>>> from techminer2.packages.networks.co_occurrence.descriptors import NetworkMetrics
>>> df = (
... NetworkMetrics()
... #
... # FIELD:
... .having_terms_in_top(20)
... .having_terms_ordered_by("OCC")
... .having_term_occurrences_between(None, None)
... .having_term_citations_between(None, None)
... .having_terms_in(None)
... #
... # COUNTERS:
... .using_term_counters(False)
... #
... # NETWORK:
... .using_association_index("association")
... #
... # DATABASE:
... .where_root_directory_is("examples/fintech/")
... .where_database_is("main")
... .where_record_years_range_is(None, None)
... .where_record_citations_range_is(None, None)
... .where_records_match(None)
... #
... .run()
... )
>>> df.head(15)
Degree Betweenness Closeness PageRank
FINTECH 19 0.040223 1.000000 0.149865
REGULATORS 18 0.036134 0.950000 0.062888
THE_DEVELOPMENT 16 0.024057 0.863636 0.059116
PRACTITIONER 16 0.024195 0.863636 0.041293
TECHNOLOGIES 15 0.014720 0.826087 0.080583
FINANCIAL_TECHNOLOGIES 15 0.017453 0.826087 0.070783
INNOVATION 15 0.015292 0.826087 0.047284
FINANCE 14 0.018000 0.791667 0.043346
BANKS 14 0.010319 0.791667 0.048601
DATA 14 0.017852 0.791667 0.035925
SERVICES 14 0.010865 0.791667 0.041161
CONSUMERS 13 0.010131 0.760000 0.040264
THE_FINANCIAL_SERVICES_INDUSTRY 13 0.006532 0.760000 0.046934
FINANCIAL_SERVICES 13 0.008387 0.760000 0.043357
FINTECH_COMPANIES 13 0.017973 0.760000 0.031250