Agent-Based Dynamic Network Models: Validation on Empirical Data

Dynamic social network analysis: A novel approach using agent‐based model, author‐topic model, and pretopology

“…We can see the fluctuation of the network through the significant transformation about agent's network topology (see Figure 6) over three periods. There is notable transformation from the first stage to the second stage: occurrence of new agent 9; new interactive formation for instances (0, 9) and (4, 9); increase in the number of interactions, such as (4, 7), (5,8), or (0, 1); and especially, appearance 0R MTP 1 with topic [2]. Moreover, there is the remarkable appearance about relation R MTP between the second stage and the third stage, for instance, (4, 7) are interested in topic [2].…”

“…Recently, there are two principal approaches in exploiting the dynamic concept of social networks: structure transformation and the attribute fluctuation of nodes over time. The first approach is that a dynamic network is taken into account as a cumulation of snapshot networks or concept‐temporal networks . On the other hand, the dynamics of a social network is discovered in the aspect that the characteristic of a node may change over time since each node is considered a living entity with capabilities such as communicating, learning, and adapting to the environment, unlike a static node in SNA.…”

“…Most studies related on the two approaches mentioned have not exploited textual information in the interaction between users since they are mostly concentrated on topology or only propose an ABM for illustrating dynamic social networks without content . Nevertheless, textual information contains significant content; for instance, we can define whether authors research in the same narrow subject or not based on the content of their papers, or we can determine the common interests between two users on Twitter based on their tweets.…”

Design of a Monitoring System for Many Collaboration Agents

“…In recent years, various agents are constructed and used in many systems [1][2][3][4][5][6][7][8][9][10]. The agents measures, senses, or generates data to transmit the data to the system they belong to.…”