E-Culture and Social Networks

With the recent attention on the data Facebook data Cambridge Analytica obtained and Mark Zuckerberg taking a beating in the press and congress, here is the creating Facebook application and using the Facebook Application Programming Interface (API). In 2010, Facebook encouraged developers to create application to serve its users. Facebook provided an API that would allow developers to program access the data for user could see for free, Facebook wasn't selling the data. SOCIAL NETWORK ANALYSIS ON FACEBOOK It took the key concepts of Network Metrics from the field of Social Network Analysis (SNA) and combined it with graphical display of clusters to make it easy to visualize relationships among friends. each box (picture) is a person or group, and the lines represent connections between them It analyzed your network of friends based on your friends' relationship to your other friends. Clusters and individuals were also grouped by distance from your core group...

Social Network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. The social network is a theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies.  The term is used to describe a social structure determined by such interactions, the ties through which any given social unit connects represent the convergence of the various social contacts of that unit. (Wikipedia)

This is the official data set used in the Netflix Prize competition. The data consists of about 100 million movie ratings, and the goal is to predict missing countrie s in the movie-user rating matrix. Data Set Information: This dataset was conducted to support participants in the Netflix Prize There are over 480,000 customers in the dataset, each identified by a unique integer ID The title and release year for each movie is also provided.There are over 17,000 movies in the dataset each identified by a unique integer ID. The dataset contains over 100 millions ratings. The ratings were collected between October 1998 and December 2005 and reflect the distribution of all ratings received during this period. Each rating has a customer id, movie id, the date of the rating, and the value of the rating. As part of the original Netflix Prize a set of ratings was identified whose rating values were not provided in the original dataset. The object of the Prize was to accurately predic...

Cluster Analysis is finding groups of objects such that the object in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. It's finding similarities between data according to the characteristics found in the data and grouping similar data objects into clusters. I found examples of clustering analysis in daily life: Marketing : It helps the marketers discover distinct groups in their customer bases, and then use this knowledge to develop targeted marketing programs. Land use : It identification of areas of similar land use in an earth observation database. Insurance : It identifying groups of houses according to their house type, value, and geographical location Earth-quake studies : Observed earthquake epicenters should be clustered along continent faults