Gender matters! Analyzing global cultural gender preferences for venues using social sensing

EPJ Data Science

Table 5 Cosine distance from a preference vector for a specific country to all preference vectors for all other countries

	BR	FR	GE	JA	KU	MA	ME	SA	SK	SP	TH	TU	UAE	UK	USA
Brazil (BR)	0	0.755	0.757	0.415	0.556	0.328	0.249	0.564	0.796	0.73	0.324	0.379	0.795	0.601	0.379
France (FR)	0.755	0	0.886	0.678	0.891	0.806	0.781	1	0.656	0.497	0.775	0.798	0.747	0.684	0.765
Germany (GE)	0.757	0.886	0	0.7	0.873	0.885	0.796	0.894	0.56	0.381	0.794	0.831	0.777	0.837	0.803
Japan (JA)	0.415	0.678	0.7	0	0.655	0.457	0.43	0.677	0.689	0.689	0.445	0.552	0.779	0.585	0.339
Kuwait (KU)	0.556	0.891	0.873	0.655	0	0.536	0.611	0.359	0.825	0.939	0.6	0.572	0.6	0.88	0.7
Malaysia (MA)	0.328	0.806	0.885	0.457	0.536	0	0.341	0.488	0.893	0.863	0.362	0.407	0.757	0.782	0.467
Mexico (ME)	0.249	0.781	0.796	0.43	0.611	0.341	0	0.581	0.778	0.749	0.429	0.394	0.824	0.604	0.273
Saudi Arabia (SA)	0.564	1	0.894	0.677	0.359	0.488	0.581	0	0.936	1	0.506	0.509	0.712	0.934	0.653
South Korea (SK)	0.796	0.656	0.56	0.689	0.825	0.893	0.778	0.936	0	0.497	0.786	0.706	0.639	0.52	0.71
Spain (SP)	0.73	0.497	0.381	0.689	0.939	0.863	0.749	1	0.497	0	0.714	0.825	0.858	0.737	0.717
Thailand (TH)	0.324	0.775	0.794	0.445	0.6	0.362	0.429	0.506	0.786	0.714	0	0.421	0.72	0.731	0.52
Turkey (TU)	0.379	0.798	0.831	0.552	0.572	0.407	0.394	0.509	0.706	0.825	0.421	0	0.766	0.577	0.492
UAE	0.795	0.747	0.777	0.779	0.6	0.757	0.824	0.712	0.639	0.858	0.72	0.766	0	0.877	0.811
UK	0.601	0.684	0.837	0.585	0.88	0.782	0.604	0.934	0.52	0.737	0.731	0.577	0.877	0	0.558
USA	0.379	0.765	0.803	0.339	0.7	0.467	0.273	0.653	0.71	0.717	0.52	0.492	0.811	0.558	0