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Author: Admin | 2025-04-27
And is composed of three main entities: Food source, characterized by its goodness in terms of quantity of nectar or distance from the hive; Employer bees, which collect the nectar and carry details about the source of food to the hive; Unemployer bees, which are not currently picking up nectar. They can be divided into two categories: scout bees, which search for new sources of food and on-looker bees, which choose a source of food according to the information brought to the hive by the employer bees. The main goal of the system is to maximize the nectar collection and it can be adapted to the influence maximization problem as described in [64, 65]. Specifically, each user of a social network is considered as a source of food, employer bees identify the opinion leaders of the network (i.e., final seeds), scout bees are used for exploring the neighborhood of employer bees, and on-looker bees indicate the influenced users.Figure 6 shows the execution flow of the proposed application, implemented using the Vertex-Centric model provided by Hama for graph computations.Fig. 6Architecture of the proposed Hama Vertex-Centric applicationFull size imageThe main step involved in writing a Hama graph application is to extend the predefined Vertex class, specifying the value types for vertices, edges and messages through its template arguments, as shown in the Java code in Listing 15. The user must encode, by overriding the compute() method, the behavior of a vertex, i.e. the set of operations that will be executed by each
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