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  2. Rumor spread in social network - Wikipedia

    en.wikipedia.org/wiki/Rumor_spread_in_social_network

    The macroscopic models propose a macro view about this process and are mainly based on the widely-used Daley-Kendall and Maki-Thompson models. Particularly, rumor spread can be viewed as a stochastic process in social networks. By contrast, the microscopic models are more interested on micro-level interactions between individuals.

  3. Label propagation algorithm - Wikipedia

    en.wikipedia.org/wiki/Label_propagation_algorithm

    Label propagation is an algorithm [2] for finding communities. In comparison with other algorithms [3] label propagation has advantages in its running time and amount of a priori information needed about the network structure (no parameter is required to be known beforehand). The disadvantage is that it produces no unique solution, but an ...

  4. Two-ray ground-reflection model - Wikipedia

    en.wikipedia.org/.../Two-ray_ground-reflection_model

    where is the large-scale (log-normal) fading, is a reference distance at which the path loss is , is the path loss exponent; typically =. [ 1 ] [ 2 ] This model is particularly well-suited for measurements, whereby P L 0 {\displaystyle PL_{0}} and ν {\displaystyle \nu } are determined experimentally; d 0 {\displaystyle d_{0}} is selected for ...

  5. Stochastic geometry models of wireless networks - Wikipedia

    en.wikipedia.org/wiki/Stochastic_geometry_models...

    The discipline of stochastic geometry entails the mathematical study of random objects defined on some (often Euclidean) space.In the context of wireless networks, the random objects are usually simple points (which may represent the locations of network nodes such as receivers and transmitters) or shapes (for example, the coverage area of a transmitter) and the Euclidean space is either 3 ...

  6. Okumura model - Wikipedia

    en.wikipedia.org/wiki/Okumura_Model

    The Okumura model is a radio propagation model that was built using data collected in the city of Tokyo, Japan. The model is ideal for using in cities with many urban structures but not many tall blocking structures. The model served as a base for the Hata model. The Okumura model was built into three modes: for urban, suburban and open areas ...

  7. Nakagami distribution - Wikipedia

    en.wikipedia.org/wiki/Nakagami_distribution

    The Nakagami distribution is relatively new, being first proposed in 1960 by Minoru Nakagami as a mathematical model for small-scale fading in long-distance high-frequency radio wave propagation. [4] It has been used to model attenuation of wireless signals traversing multiple paths [5] and to study the impact of fading channels on wireless ...

  8. Advertising, Analytics, and Privacy. - AOL

    privacy.aol.com/legacy/advertising-and-privacy/...

    These companies use cookies, web beacons, and similar technologies to keep track of what content or ads users view, how long they spend on different pages, how they arrived on a particular page (e.g., through a search query, link from another property, or a bookmark), and how they respond to the ads we show them. The analytics providers with ...

  9. Log-distance path loss model - Wikipedia

    en.wikipedia.org/wiki/Log-distance_path_loss_model

    The log-distance path loss model is a radio propagation model that predicts the path loss a signal encounters inside a building or densely populated areas over long distance. While the log-distance model is suitable for longer distances, the short-distance path loss model is often used for indoor environments or very short outdoor distances.