Community learning in location based social networks 3

108 4.7 Top Ten Communities at the Global Scale In this section, we show the top ten communities detected at the global scale. We manually observe and derive the community profiles from the prominent venue categories, tip topics and photo concepts of the communities. Rank Visualization Profile • Coffee/Tea lovers • Group Size: 1,651 • Food lovers • Group Size: 1,567 • Shoppers • Group Size: 1,108 109 Rank Visualization Profile • Drink/Snack lovers • Group Size: 1,101 • Sports Enthusiasts • Group Size: 1,095 • Home Lovers • Group Size: 1,081 • Travellers • Group Size: 997 110 Rank Visualization Profile • White-collar Work8 ers • Group Size: 957 • Students • Group Size: 933 10 • Nature Lovers • Group Size: 915 4.8 Top Five Communities in Singapore In this section, we show the top five communities detected in Singapore. We manually observe and derive the community profiles from the prominent venue categories, tip topics and photo concepts of the communities. . 933 10 • Nature L overs • Group Size: 915 4.8 Top Five Communitie s in Singapore In this section, we show the top five communities detected in Singapore. We manu- ally observe and derive the community. Communities at the Global Scale In this section, we show the top ten communities detected at the global scale. We man- ually observe and derive the community profiles from the prominent venue categories, tip. lovers • Group Size: 1,65 1 2 • Food lovers • Group Size: 1,56 7 3 • Shoppers • Group Size: 1,10 8 109 Rank Visualization Profile 4 • Drink/Snack lovers • Group Size: 1,10 1 5 • Sports Enthusiasts •