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Users may create groups of interests and events, make posts and send instant messages. Metrics of Relations represent the pattern of relationships between one social object and others. Homofphily - a degree, in which user forms a relationship with similar users.Similarity may be defined through gender, age, social status, educational level etc. b.An overview existing methods and ways of links analysis A research possible scientific value of work based on current state of business in this area A development of general algorithms Software tools selection Algorithm's implementation using existing tools Solution testing and practical applicability demonstration a Small World - private social network with invitation required Facebook - world famous social network developed by Mark Zuckerberg and team.
This system presents a recommendation system based on links analysis.
NATIONAL RESEARCH UNIVERSITY HIGHER SCHOOL of ECONOMICS Faculty of Business and Management School of Business Informatics Author: Daniil Pronin MASTER THESIS Master's programme Big Data Systems DEVELOPMENT OF SOFTWARE FOR MARKETING ANALYSIS AND INTEREST ANALYSIS IN VKONTAKTE SOCIAL NETWORK WITH APPLICATION OF LINK ANALYSIS Moscow 2016 CONTENTS to monitor and analyze of social networks; to forecast and control social networks Monitoring includes raw data retrieval and structuring.
User profiles, connections, posts and messages are accumulated.
The idea was to create a system, which would take a user profile as an input parameter and provide links analysis and interest analysis of the input user and his/her friends, presenting a rank of interest similarities among user's friends.
The rank of similarities would be useful for targeted advertisement in Vkontakte social network, considering the appearance of the features like direct conversation between user and organization (which has a type `group' in vkontakte) and the opportunity for organizations to post goods and prices on group's page.
A path between two users through a user, who is bridge, will be a shortest path. Centrality is a degree, which represents the importance and the effect of separate user (or users cluster) inside of the graph. Density is a percentage the proportion of direct links in network in relation to the total number of possible links. Distance - a minimum number of links required to set a connection between two separate users. Structural holes - the absence of connection between two parts of social network f.