The Cognitive Social Network in Dreams: Transitivity, Assortativity, and Giant Component Proportion Are Monotonic
| Autor: | Richard Schweickert, Charles Viau-Quesnel, Hye Joo Han, Zhuangzhuang Xi |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Cognitive Neuroscience media_common.quotation_subject Experimental and Cognitive Psychology 050105 experimental psychology Giant component 03 medical and health sciences Cognition 0302 clinical medicine Mixing patterns Memory Artificial Intelligence Humans 0501 psychology and cognitive sciences Dream Assortative mixing media_common Transitive relation Social network business.industry Assortativity 05 social sciences Social Support Computer Science::Social and Information Networks Dreams Female business Psychology Social psychology 030217 neurology & neurosurgery |
| Zdroj: | Cognitive Science. 40:671-696 |
| ISSN: | 0364-0213 |
| DOI: | 10.1111/cogs.12244 |
| Popis: | For five individuals, a social network was constructed from a series of his or her dreams. Three important network measures were calculated for each network: transitivity, assortativity, and giant component proportion. These were monotonically related; over the five networks as transitivity increased, assortativity increased and giant component proportion decreased. The relations indicate that characters appear in dreams systematically. Systematicity likely arises from the dreamer's memory of people and their relations, which is from the dreamer's cognitive social network. But the dream social network is not a copy of the cognitive social network. Waking life social networks tend to have positive assortativity; that is, people tend to be connected to others with similar connectivity. Instead, in our sample of dream social networks assortativity is more often negative or near 0, as in online social networks. We show that if characters appear via a random walk, negative assortativity can result, particularly if the random walk is biased as suggested by remote associations. |
| Databáze: | OpenAIRE |
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