Social Network Analysis (SNA)

This is a slideshow of the June 2011 lecture on the topic of community detection using graphs with a focus on Social Media applications.

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This 2012 article focuses on Social Network Analysis (SNA) and particularly the challenge of identifying central nodes within a given social network. The authors propose a new centrality measure for weighted networks based on the amoeboid algorithm, which is called Physarum centrality.

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This 2010 post focuses on the distance between nodes within social networks and particularly those with disconnected components. Key node centrality is defined by the author as the inverse of farness, and in turn, the sum of distances to all other nodes within a given network structure.

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This article focuses on Data Mining and Social Network Analysis (SNA) amongst bloggers, and in particular the mining of racist groups and cyber hate communities in online blogging websites.

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This 2013 paper focuses on measuring relationship strength on Facebook based on user’s activities and profile information. The authors critique social network research focused on friendship networks.

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This 2012 article focuses on the detection of hidden relationship structures in online social networks including the characteristics of relationship structures on Facebook. The authors argue that graphs fail to capture the finer qualities of online social network relationships.

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This 2014 article proposes an estimation method for relationship strength in weighted social network graphs. The authors argue that their method can fully estimate the relationship strength between any two users in a social network, whether they are directly connected or not.

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This paper focuses on network theory and Social Network Analysis (SNA). It clarifies the concept of a social network and helps identify the characteristic elements of social network theorizing.

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This 2014 article focuses on some of the key issues that exist in current research on network theory and Social Network Analysis (SNA).

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