finding the simplest similarity(distance) measure for a problem of community detection in geo-social network
$10-30 USD
Closed
Posted almost 4 years ago
$10-30 USD
Paid on delivery
I need to do a data mining study on social networks for marketing purposes. My goal is a community detection in geo-social network. I tried to define the problem as following:
Given A geo-social network graph G (V, E) is an un-directed graph with vertex set V and edge set E, where vertices represent users and edges denote their relationships. Furthermore, each vertex v ∈ V has a number i of spatial visited locations li ([login to view URL], [login to view URL]) in the two-dimensional space. In addition, information about each visited location li includes a date di of visiting, and a location category ci belong to a predefined set of categories that shows the interests of place or activities (i.e., gyms, malls, libraries, cafes...)
So, in addition to the network structure G (V, E), we have for each node a set {(li , di, ci)} that contain geographic, temporal, and interests information.
We can of course have additional information by:
• Count the number of visits to each specific location (e.g., #visits to specific coffee shop)
• Count the number of visits to each specific category. (e.g., #visits to all coffee shops).
Goal:
Then, we need to define a similarity (distance) measure allowing us to discover communities such that users in one community are similar in terms of:
• Structural connection
• Spatial regions: visiting locations close to each other
• Interests: visiting similar place categories (e.g., libraries, gyms…)
• What about the temporal data (date)? involved or removed?
Notes: there is no collected data yet. So no need to implement or run anything. just suggest a suitable measure for such a problem. the deliverable should be a document of 1-2 pages contain a clear suggestion that relies on proved foundations as possible, and a list of any support references.
Please contact me if you think you have an idea for the above description.
HI, MYSELF BHARAT. I’M A WEB SCRAPPING EXPERT. I AM BASICALLY INTO WEBSITE SCRAPING, EMAIL FINDING, PRODUCT RESEARCH, FINDING CONTACT DETAILS OF THE HEAD OF THE COMPANY/ORGANISATION OR ANYTHING RELATED TO GOOGLE SEARCH ETC.
I CAN DO ADVANCED GOOGLE RESEARCH. I AM FAST IN TYPING, QUICK THINKING, AND GREAT IN GOOGLE SPREADSHEET. I CAN HELP YOU IN COLLECTING INFORMATION THROUGHOUT THE WEB FOLLOWED BY FILLING THE SPREADSHEET WITH IT. I CAN DIG DEEPER INTO THE INTERNET AND PROVIDE QUALITY INFORMATION.
GIVE ME ONE OPPORTUNITY TO SERVE YOU. THIS PROPOSAL WOULD BE 100% SATISFACTION TO YOU. SO, CHOOSE WISELY.