Data retrieval and aggregation from social media large font

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  • Profile-based SNSOrganized around members' profile pages – pages which primarily consist of information about an individual member –including their pictures, interests, likes and dislikes.Users often include third-party content in order to enhance their profiles, or as a way of including information from other web services and social networking services. Bebo, Facebook and MySpaceContent-based SNSThe user's profile remains an important way of organizing connections but plays a secondary role to the posting of content. One where groups and comments are based around content. Flickr, Youtube, Mobile SNSThese social network services allow users to interact with others using mobile applications. Includes profiles and media-sharing just as with web-based social networking services.WhatsApp, BBM, MyuboWhite-label or Open SNSThese sites offer members the opportunity to create and join communities. Users can create their own “mini-MySpaces”, small-scale social networking sites that support specific interests, events or activities. PeopleAggregator, NingMicro-blogging/Presence updates Allows users to post short messages, status, opinions publicly or within contact groupsThey are designed to work as mobile services, but are popularly used and read on the Web as well. Twitter, Blogger,
  • Data retrieval and aggregation from social media large font

    1. 1. Automation. Collaboration. Integration. Data Retrieval and Aggregation from Social Media
    2. 2. Social Media
    3. 3. Types of Social Media Profile-based Content-based Mobile-based Open SNS Micro-blogging
    4. 4. The World of Data
    5. 5. How the data can be used? Financial companies can use the data to make lending decisions Law enforcement can use it to solve crimes Understanding communication patterns Monitoring of online focus groups Research of new product ideas Studying users’ behavior Social engineering
    6. 6. Real Time Example
    7. 7. Data Processing Model (DPM)
    8. 8. Challenges Establishing connection to different types of social media Collection of huge volumes of unstructured data Extraction of relevant data Converting data to a unified structured format Secured storage and maintenance Quick accessibility Scalable architecture

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