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Мeasure of mutual influence among members of a social network 719
Макагонов П.П., доктор технических наук, профессор-исследователь отдела аспирантуры Микстекского технологического университета (Мексика, штат Оахака), email@example.com
Дорадо В., профессор Микстекского технологического университета (Мексика, штат Оахака)
Эспиноса С.Б., магистр в области электроники и вычислительной техники, профессор-исследователь института вычислительной техники Микстекского технологического университета (Мексика, штат Оахака), firstname.lastname@example.org
Among the factors that determine an individual's learning of new skills within a common interest group (in the local society) are: the strength of the character of the individual to be influenced by other members of the group or other groups and the individual's motivation. The first one of these two factors is analyzed here. To measure the influence that some members of a group have over others, and the individual's level of conform-ism, we use a semantical-logical analysis with quantitative output in the messages of a forum which contains a discussion about problems and innovations. We use a cluster analysis technique to find similarities and dis-crepancies among the members of the forum and classify them in this manner, revealing which of them are leaders and have influence over the others.
There are groups of people which have formal organization (political parties, businesses, educational institutions, etc.). There are also many whose members belong to them voluntarily for their own enjoyment and for the amount of time that they desire. Such groups are not organized with the level of formality necessary to have this name. But these groups are more or less stable and have influence over the people around them; they have an exchange of information that influences their conduct and vision of the “state of things.” These groups are called social networks. Previously there were only local (physical, material) social networks in each community. There were generally hierarchical social networks [Makagonov P, Liliana Eneida Sánchez Platas (2008-a)], separated by ages, and/or sex and social status. [Makagonov P, Celia Bertha Reyes Espinosa (2008-b)]. Now, there are many virtual social networks (on the Internet) whose membership is not redistricted (distributed) by space but rather by zones of common interest.
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