referring to fig1 , to initially capture and share a multimedia content , the user of the mobile app will capture 1 a multimedia content of the location ; the mobile app will then obtain information of the current date and time and weather 4 which is overlaid according to the user preferred style 2 ; the mobile app will then provide suggestion of potential current location 7 for the user to select . the user then shares 1 the multimedia content to the rest of the world on that particular location ; whereby multimedia contents that are shared are stored in a data store . the multimedia contents that are captured and shared by the user appears in user feeds section 10 that can be scrolled to the right 11 for more . by selecting the multimedia content , the mobile app will navigate to the multimedia content detail as shown in the example on fig3 . the area of trending feeds 12 is an area of focus for the invention method . the trending feeds 12 is divided into multiple section though not noticeable by user . in the example shown in fig1 is the user target location trend . this 13 would be the multimedia contents shown in the current user target location or close to the current user target location ; whereby is the first section of the trends . the next section 14 is the next progressive location expanded larger area or radius area criteria which could be the city area multimedia contents . and the following section 15 is the next progressive expanded larger area or radius location criteria which could be the state area multimedia contents . by scrolling for more 16 , the queries would be the continuation of the last location expanded larger area or radius criteria , which in this case could be the country , continent , and beyond . referring to fig2 , an exemplary trending multimedia contents distribution weightage curve 17 as following the definition in the claims . the distribution weightage formula is divided into 3 windows . the 24 first window starting at the very top is using reducing weightage formula for each subsequent section of the trending distribution . in 18 , which is the top first section of 24 first window , displays the current target location criteria ; it can display with the highest weightage for the total initial allocated trending multimedia contents to be displayed in 24 first window . the following section 19 below , is the next progressive expanded larger area or radius location criteria , which could for example be the city of the target location . section 19 can have a reduced weightage for the total initial allocated trending multimedia contents than section 18 . this reducing weightage formula continues progressively with possibly more sections until 20 last section of 24 first window . the next window is 25 second window which uses the increasing weightage formula for each subsequent sections of the trending distribution . the 25 second window increasing formula has a stronger factor for increase than the reducing formula in the 24 first window . the 21 first section of 25 second window will start with a strong factor with the total amount of allocated trending multimedia contents of the first window . section 21 is typically set to be the country of the current target location . section 22 is the next progressive expanded larger area or radius of the location criteria . an example would be if section 21 is country , then section 22 is the region or continent . then if malaysia is the country , the region would be south east asia . a stronger factor is used in section 22 and will have an increased amount than the previous section 21 for the number of multimedia contents displayed . the progressive increasing formula is used for every subsequent section in the 25 second window . the last window is the 26 third window . there is no weightage for the number of multimedia contents to be displayed and it is unlimited . this 26 third window will display trending multimedia contents for the rest of the world 23 . the whole layout and organization of the multimedia contents as depicted in fig2 is supposed to provide an adaptive approach in querying trending multimedia contents that is prioritized initially towards the current target location of the user and then to the larger extend of the world trend . the multimedia contents in the explanation can be used in any other multimedia content for displaying trends . referring to fig3 , is the user interface example for the multimedia content detail window used for displaying additional contextual information for the shared multimedia content such as 29 user profile image link of the sharer , 28 button to follow the selected multimedia content , 30 selection and average ratings of the multimedia content and 31 reviews made to the multimedia content in the social network . the multimedia content that is displayed contains an overlay 34 on top of the multimedia content . this overlay is a separate view that contains a graphical background layer with a set transparency used to highlight other contextual information and animated icon for the multimedia content condition is displayed on the overlay . the contextual information and icon displayed includes location 32 , weather animated icon 37 , weather information 38 and / or timestamp 36 . the location 32 information in the overlay is mandatory and navigable to a window as illustrated in fig5 displaying a collection of multimedia content 44 of the particular location . the overlay 34 can have a maximized or minimized view . in the example in fig3 , the overlay 34 is in a maximized view . a minimize trigger 35 in a maximized overlay is used to minimize the overlay as shown in 39 of fig4 . fig4 which is the alternate for fig5 , whereby the overlay is a separate view on top of the multimedia content that contains a graphical background layer with a set transparency used to highlight contextual information and icon for the multimedia content condition are minimized 39 . this minimized overlay has a single line of icon and text containing the multimedia content contextual information . the size of the weather animated icon 42 , text containing weather information 43 and location 41 are reduced as compared to the maximized overlay 34 in fig3 . a maximized trigger 40 exists in the minimized overlay 39 to trigger the overlay to be maximized as in 34 in fig3 . the share trigger 33 in fig3 and fig4 is to share an animated media format such as animated gif or video of the composite multimedia content and the stated maximized overlay 34 that consists of contextual information and animated weather icon without the overlay background graphics . the share of the animated media format can be the media file or a link to the media file that is posted in the social network , send via a messaging platform or saving it to the local or network system . fig5 is this window consisting of a collection of multimedia contents 44 of the particular location 45 which is navigated into by location selection from the multimedia content such as illustrated in the example of fig3 and fig4 . the system can generate a suggestive trigger for booking 46 and / or language 48 associated to the particular location 45 . the booking trigger 46 generates products , services and / or amenities associated to the particular location 47 . selecting the options for the booking can be processed by a payment gateway system . the language trigger 48 generates associated language of the particular location and providing a link navigable to the language learning system 49 of the suggested language . the selection and average ratings 30 of the multimedia content ; whereby the rating selection score set by the user is added to the location rating of the multimedia content and the score is cascaded further to the larger region of the location . in fig6 is an illustration of an example whereby kuala lumpur twin tower ( klcc ) is rated by the user from a multimedia content that is currently viewed . 50 is a table showing the original rating scores of klcc and the enlarged area location of klcc . 50 table shows that the current rating value is 5 . 0 for klcc . table 50 and 52 also contains all the expanded larger area or radius for klcc location . 51 is the formula for the rating where by it is the average calculation the total rating score divided by the number of ratings . in 52 , after a user has added a new rating score of 2 , klcc rating score is now 32 which then makes the new rating average to be 4 . 6 . in 52 also , it is illustrated , the user rating score of 2 is then cascaded to add to the total rating score of the next larger area or radius which in this example would be kl city , kuala lumpur , malaysia and beyond . this cascading effect will then have a new rating average for all the cascaded location areas that are affected .