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A Blogosfera como rede complexa Osame Kinouchi Angélica A. Mandrá Jean Haroldo O. Barbosa

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Físicos se interessam pela Blogosfera! Quantitive and sociological analysis of blog networks Quantitive and sociological analysis of blog networks Wiktor Bachnik, Stanislaw Szymczyk, Piotr Leszczynski, Rafal Podsiadlo, Ewa Rymszewicz, Lukasz Kurylo,Danuta Makowiec, Beata Bykowska (Gdańsk University, Poland) Wiktor Bachnik, Stanislaw Szymczyk, Piotr Leszczynski, Rafal Podsiadlo, Ewa Rymszewicz, Lukasz Kurylo,Danuta Makowiec, Beata Bykowska (Gdańsk University, Poland) Wiktor BachnikStanislaw SzymczykPiotr LeszczynskiRafal PodsiadloEwa RymszewiczLukasz KuryloDanuta MakowiecBeata Bykowska Wiktor BachnikStanislaw SzymczykPiotr LeszczynskiRafal PodsiadloEwa RymszewiczLukasz KuryloDanuta MakowiecBeata Bykowska This paper examines the emerging phenomenon of blogging, using three different Polish blogging services as the base of the research. Authors show that blog networks are sharing their characteristics with complex networks gamma coefficients, small worlds, cliques, etc.). Elements of sociometric analysis were used to prove existence of some social structures in the blog networks. This paper examines the emerging phenomenon of blogging, using three different Polish blogging services as the base of the research. Authors show that blog networks are sharing their characteristics with complex networks gamma coefficients, small worlds, cliques, etc.). Elements of sociometric analysis were used to prove existence of some social structures in the blog networks. Journal reference:Acta Physica Polonica B Vol. 36, No. 10 (2005) 2435- 2446 Journal reference:Acta Physica Polonica B Vol. 36, No. 10 (2005) 2435- 2446

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The structure of self-organized blogosphere The structure of self-organized blogosphere Feng Fu, Lianghuan Liu, Kai Yang, Long Wang Feng Fu, Lianghuan Liu, Kai Yang, Long Wang Feng FuLianghuan LiuKai YangLong Wang Feng FuLianghuan LiuKai YangLong Wang In this paper, a statistical analysis of the structure of one blog community, a kind of social networks, is presented. The quantities such as degree distribution, clustering coefficient, average shortest path length are calculated to capture the features of the blogging network. We demonstrate that the blogging network has small-world property and the in and out degree distributions have power-law forms. The analysis also confirms that blogging networks show in general disassortative mixing pattern. Furthermore, the popularity of the blogs is investigated to have a Zipf's law, namely, the fraction of the number of page views of blogs follows a power law. In this paper, a statistical analysis of the structure of one blog community, a kind of social networks, is presented. The quantities such as degree distribution, clustering coefficient, average shortest path length are calculated to capture the features of the blogging network. We demonstrate that the blogging network has small-world property and the in and out degree distributions have power-law forms. The analysis also confirms that blogging networks show in general disassortative mixing pattern. Furthermore, the popularity of the blogs is investigated to have a Zipf's law, namely, the fraction of the number of page views of blogs follows a power law. Submitted to Physica A. Submitted to Physica A.

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Word statistics in Blogs and RSS feeds: Towards empirical universal evidence Word statistics in Blogs and RSS feeds: Towards empirical universal evidence R. Lambiotte, M. Ausloos, M. Thelwall R. Lambiotte, M. Ausloos, M. Thelwall R. LambiotteM. AusloosM. Thelwall R. LambiotteM. AusloosM. Thelwall (Submitted on 15 Jul 2007) (Submitted on 15 Jul 2007) We focus on the statistics of word occurrences and of the waiting times between such occurrences in Blogs. Due to the heterogeneity of words' frequencies, the empirical analysis is performed by studying classes of "frequently-equivalent" words, i.e. by grouping words depending on their frequencies. Two limiting cases are considered: the dilute limit, i.e. for those words that are used less than once a day, and the dense limit for frequent words. In both cases, extreme events occur more frequently than expected from the Poisson hypothesis. These deviations from Poisson statistics reveal non-trivial time correlations between events that are associated with bursts of activities. The distribution of waiting times is shown to behave like a stretched exponential and to have the same shape for different sets of words sharing a common frequency, thereby revealing universal features. We focus on the statistics of word occurrences and of the waiting times between such occurrences in Blogs. Due to the heterogeneity of words' frequencies, the empirical analysis is performed by studying classes of "frequently-equivalent" words, i.e. by grouping words depending on their frequencies. Two limiting cases are considered: the dilute limit, i.e. for those words that are used less than once a day, and the dense limit for frequent words. In both cases, extreme events occur more frequently than expected from the Poisson hypothesis. These deviations from Poisson statistics reveal non-trivial time correlations between events that are associated with bursts of activities. The distribution of waiting times is shown to behave like a stretched exponential and to have the same shape for different sets of words sharing a common frequency, thereby revealing universal features.

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A theory of web traffic A theory of web traffic M.V. Simkin, V.P. Roychowdhury M.V. Simkin, V.P. Roychowdhury M.V. SimkinV.P. Roychowdhury M.V. SimkinV.P. Roychowdhury We analyze access statistics of several popular webpages for a period of several years. The graphs of daily downloads are highly non-homogeneous with long periods of low activity interrupted by bursts of heavy traffic. These bursts are due to avalanches of blog entries, referring to the page. We quantitatively explain this behavior using the theory of branching processes. We extrapolate these findings to construct a model of the entire web. According to the model, the competition between webpages for viewers pushes the web into a self-organized critical state. In this regime, the most interesting webpages are in a near-critical state, with a power law distribution of traffic intensity. We analyze access statistics of several popular webpages for a period of several years. The graphs of daily downloads are highly non-homogeneous with long periods of low activity interrupted by bursts of heavy traffic. These bursts are due to avalanches of blog entries, referring to the page. We quantitatively explain this behavior using the theory of branching processes. We extrapolate these findings to construct a model of the entire web. According to the model, the competition between webpages for viewers pushes the web into a self-organized critical state. In this regime, the most interesting webpages are in a near-critical state, with a power law distribution of traffic intensity.

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Redes simples

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Redes Complexas

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Redes sem escala

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A blogosfera é uma rede sem escala

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Comunidades

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Fenômenos Coletivos

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Autoridade e ranqueamento Autoridade (Technorati): Autoridade (Technorati): Número de blogs que fizeram links para um dado blog nos últimos seis mesesNúmero de blogs que fizeram links para um dado blog nos últimos seis meses Ranque Ranque Quantos blogs possuem mais autoridade que um dado blog.Quantos blogs possuem mais autoridade que um dado blog. Quanto menor o ranque, melhor.Quanto menor o ranque, melhor.

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Autoridade em função do ranque

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Efeito Top 100 Technorati

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Blogs científicos: Portugal x Brasil Autoridade Média PT = 24 BR = 16

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Top 11 (!) da amostra 1106Uma Malla pelo mundo 266Brontossauros em meu jardim 357Ciência em Dia 450Xis-Xis 545Glúon/Blog 628Roda de Ciência 725Bafana Ciência 824Transferência Horizontal 922Blog do Mércio: Índios,Antropologia e 1021Geófagos 1121SEMCIÊNCIA

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