Adamic and Glance: Difference between revisions
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In 2004, Adamic and Glance measured the degree of interaction between liberal and conservative blogs and made a significant attempt to uncover the differences in the structure of the two communities. Specifically, they analyzed 40 “a-list” blogs for 2 months preceding the U.S. elections. They studied the frequency of reference exchange among the two communities and quantified their own and other communities topic overlap (single-day snapshots of blogrolls of more than 1000 political blogs). Their observations on linkage patterns and density between liberals and democratic seems like the most significant ones, in terms of cross-method ability (online and offline data analysis) and analysis worth further applying. | |||
For this paper I will attempt to address the qualitative weaknesses of the report according to the following points: | |||
'''The impact findings (9% of blog influence increase)''' | |||
Measurement of blog aggregation websites, search engines, feeds and search analytics activity | |||
Measurement of impressions | |||
The distinction between blog references in blogrolls and posts | |||
Accuracy on information about active link activity. The assumption that the network obtained by crawling the front page each blog is now considered wrong. | |||
Exclusion of automatically generated links and classifying them as unintentional citation | |||
'''Communities''' | |||
Study of sub-communities of political blogs | |||
Strength of community | |||
Varied Conversations | |||
Interaction with mainstream media | |||
Keyword occurrences | |||
Comparison between mainstream media, “a-list” blogs and the rest of the blogosphere | |||
The self calling independent blogs and whether - bridge effect | |||
= Theodor Kolovos = | = Theodor Kolovos = | ||
Revision as of 13:14, 9 June 2014
In 2004, Adamic and Glance measured the degree of interaction between liberal and conservative blogs and made a significant attempt to uncover the differences in the structure of the two communities. Specifically, they analyzed 40 “a-list” blogs for 2 months preceding the U.S. elections. They studied the frequency of reference exchange among the two communities and quantified their own and other communities topic overlap (single-day snapshots of blogrolls of more than 1000 political blogs). Their observations on linkage patterns and density between liberals and democratic seems like the most significant ones, in terms of cross-method ability (online and offline data analysis) and analysis worth further applying. For this paper I will attempt to address the qualitative weaknesses of the report according to the following points:
The impact findings (9% of blog influence increase)
Measurement of blog aggregation websites, search engines, feeds and search analytics activity
Measurement of impressions
The distinction between blog references in blogrolls and posts
Accuracy on information about active link activity. The assumption that the network obtained by crawling the front page each blog is now considered wrong.
Exclusion of automatically generated links and classifying them as unintentional citation
Communities
Study of sub-communities of political blogs
Strength of community
Varied Conversations
Interaction with mainstream media
Keyword occurrences
Comparison between mainstream media, “a-list” blogs and the rest of the blogosphere
The self calling independent blogs and whether - bridge effect