Flow of emotional messages in artificial social networks
arXiv:1004.4103 · doi:10.1142/S012918311001535X
Abstract
Models of message flows in an artificial group of users communicating via the Internet are introduced and investigated using numerical simulations. We assumed that messages possess an emotional character with a positive valence and that the willingness to send the next affective message to a given person increases with the number of messages received from this person. As a result, the weights of links between group members evolve over time. Memory effects are introduced, taking into account that the preferential selection of message receivers depends on the communication intensity during the recent period only. We also model the phenomenon of secondary social sharing when the reception of an emotional e-mail triggers the distribution of several emotional e-mails to other people.
arXiv comment10 pages, 7 figures, submitted to International Journal of Modern Physics C
References in corpus (14)
- Emergence of scaling in random networks
- The origin of bursts and heavy tails in human dynamics
- Mean-field theory for scale-free random networks
- Modeling bursts and heavy tails in human dynamics
- Weighted evolving networks: coupling topology and weights dynamics
- Prominence and control: The weighted rich-club effect
- Analysis of a large-scale weighted network of one-to-one human communication
- Emergence of communities in weighted networks
- Human dynamics revealed through Web analytics
- A system of mobile agents to model social networks
- Dynamics of directed graphs: the world-wide Web
- Human Activity in the Web
- Scaling of human behavior during portal browsing
- Growing Trees in Internet News Groups and Forums
Cited by in corpus (5)
- Collective emotions online and their influence on community life
- Negative emotions boost users activity at BBC Forum
- An Agent-Based Model of Collective Emotions in Online Communities
- Entropy-growth-based model of emotionally charged online dialogues
- Statistical analysis of emotions and opinions at Digg website