Blog 7 – Theories of Networks

Posted by & filed under mldebusklane, SNA, SNA Posts, SNA18, socialnetworkanalysis.

The construct of a “public sphere” was presented by Habermas as the “nexus between public life and civil society,” whereby the sphere exists outside organized and institutional influence. Although disconnected from government or organized institutional influence, the public sphere is an integral component to a democratic society, whereby citizens can discuss, agree, or disagree with […]

Blog 6 – Research Plan

Posted by & filed under mldebusklane, SNA, SNA Posts, SNA18, socialnetworkanalysis.

In general, my work tends to involve both student motivation at large (Bae & DeBusk-Lane, 2018) and writing motivation more specifically (Ekholm, Zumbrunn, & DeBusk-Lane, 2017; Zumbrunn, Ekholm, Stringer, McKnight, & DeBusk-Lane, 2017). In short, my personal passion involves using person-centered approaches, namely Latent Transition, Profile, and Class Analyses to assess latent groups of students’ […]

Blog 5 – Centrality and Student Motivation

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In general, node centrality refers to how influential or significant a node is to the overall network (Yang, Keller, & Zheng, 2017). Further, node centrality is often commonly associated with four types of centrality: degree, betweenness, closeness, and eigenvector centrality. Briefly, degree is simply how many connections a node has to other nodes, betweenness is […]

Social Capital in Networks – Blog 4

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  “social capital” refers to features of social organization such as networks, norms, and social trust that facilitate coordination and cooperation for mutual benefit. By and large, Robert Putnam’s bestseller, Bowling Along: The Collapse and Revival of American Community, argues that although Americans have increased in wealth and prosperity, their sense of community has declined (2000). […]

Weak Ties & SWT Blog 2

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In essence, small world theory suggests that the natural clustering of relationships is fairly limited on an individual level, yet highly connected through overlap of ajoining clusters. This, as described by Milgram (1967), permits any two people arbitrarily selected to be connected through a series of efficient connections. In Milgram’s (1967) study, the average number […]

Value of SNs – Blog 2

Posted by & filed under mldebusklane, SNA, SNA Posts, SNA18, socialnetworkanalysis.

Anton Chekhov (one of the greatest writers of all time) once said, “Knowledge is of no value unless you put it into practice,” which exemplifies and typifies value of social networks. What is to value to me may very well not be of value to you. So why then are social networks of value to […]