Social Network Analysis. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
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Жанр произведения: Техническая литература
Год издания: 0
isbn: 9781119836735
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the old graph analysis strategies [8].

      For illustration, let us consider that the application of online social network in analyzing the contagious diseases originated with the biological pathogens, such as influenza, chickenpox, measles, and the sexually spread viruses that transfer from one person to another [13–15].

      Recent studies have observed the prologue of a number of SNA models that try to clarify how opinions develop in a population [16], with the consideration of a number of social theories. These models possess a number of common characteristics with that of the spreading and epidemics. Generally, people are considered as agents with a certain state and attached by a social network. The social links is indicated using a complete graph or with more sensible complex networks. The state of the node is typically identified using the variables, which can either be discrete or continuous, with the probability to select either one or another option [17]. The nature of individuals varies with respect to time, depending on a number of update rules, mainly with the interaction of neighbors.

      Some of the openly available tools and libraries are discussed in this section. A multilevel solution aiming on epidemic spreading simulation is represented as Network diffusion library (NDlib), which possesses a number of significant features and is available highly to the SNA practitioners as compared with other tools. Unlike other tools, the NDlib tool is accessible to technicians, like researchers, programmers, and to non-technicians, like students and analysts. NDlib helps in rectifying the drawbacks associated with the existing libraries with reduced complexity in usage. The three elements of the generic diffusion process are the graph topology, the diffusion model, and the configuration of the model.

      Social Network Importer: The SN organization is a module for NodeXL6, which is the unrestrained Excel 2010/2007 format for dissecting organization in the well-known Excel application software circumstance. The Bernie Hogan of Oxford Internet Institute delineates the NameGen7, which is considered as the antecedent of SN organization [20].

Schematic illustration of social network analysis using python.

      The API of the twitter clients is then utilized to accumulate the administered assistant network of the writer of the tweets. The Communal Online SM observatory Observant (COSMOS) organization that contributes a consolidated set of devices for gathering, documenting, exploring, and envisage the data streams in the social network, along with the ability to connect with the variant types of data, such as the data from UK ONS (organization of national statistics) through the extended APIs [22, 23].

      The COSMOS holds a scope of demographic devises which comprised of gender recognition, stress, topic realization, language identification, location identification, and emotion recognition. The initial description of the COSMOS organization is being accessible for transfer from