2019
DOI: 10.1007/s41109-019-0135-2
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Impact of network density on cascade size and community growth

Abstract: This paper addresses two critical questions related to (1) the co-evolutionary dynamics between information diffusion and network topology and (2) the relationship between viral content and social reinforcement. A recurrence relation model is developed to formulate the growth dynamics of a community centered on a dominant user using the tweet-retweet-follow (TRF) and exogenous link-creation events. This model illustrates several fundamental relations among parameters and quantities that are critical to answeri… Show more

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Cited by 1 publication
(1 citation statement)
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“…Communities make an important contribution to the spread of information because they are considered to affect social reinforcement, structural trapping, and homophily [8]. Many recent studies focus on community effects [8], [17]- [19], community formation [20], and community modeling [21], [22]. This study discusses the relationship between community structure and cascade size distributions.…”
Section: Related Workmentioning
confidence: 99%
“…Communities make an important contribution to the spread of information because they are considered to affect social reinforcement, structural trapping, and homophily [8]. Many recent studies focus on community effects [8], [17]- [19], community formation [20], and community modeling [21], [22]. This study discusses the relationship between community structure and cascade size distributions.…”
Section: Related Workmentioning
confidence: 99%