Sentence examples for collaboration event from inspiring English sources

We report the distributions of partners per collaboration event for the two analyzed data sets.

Following these approaches, we argue that activity reflects the propensity of an agent to participate in a collaboration event.

To study these, we analyzed the distributions of partners per collaboration event, (P(m)), in both considered data sets.

In the SDC alliance data set, the size of a collaboration event is the number of firms per R&D alliance, while in the co-authorship data set it is the number of co-authors per paper.

The two input parameters, size of the collaboration event, (m_{i}), and agent activity, (a_{i}), are obtained by sampling from the above distributions, (P(m)) and (P a)).

Next, at each time step, we select an agent to initiate a collaboration with probability (p_{i}) proportional to its activity, (p_{i}= eta a_{i}), where η is a rescaling parameter that we fix by imposing that (sum_{i} p_{i}) is equal to the number of collaboration event empirically observed per day.

Figure 3 Distribution of the size of collaboration events.

In Figure 12 we report the size distribution of collaboration events for the different PACS number.

In the model, agents represent nodes in a collaboration network and links between nodes represent collaboration events.

For the simulations, we take the number of agents, N, and the total number of collaboration events, E, from the respective empirical networks.

The time-aggregated data about these collaboration events can be conveniently represented by means of a complex network, where the nodes are the actors, or agents as we denote them in the following, and the links are the recorded collaborations.