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8,991
The observation of tolerance in social network models
, 2010
"... This paper defines the phenomenon of tolerance in social network models, focusing on the HRN and HWR rules. We will seek to develop a mathematical model for tolerance and thus clearly define the factors that contribute toward tolerance in agents. Several experiments will be run on social network mod ..."
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This paper defines the phenomenon of tolerance in social network models, focusing on the HRN and HWR rules. We will seek to develop a mathematical model for tolerance and thus clearly define the factors that contribute toward tolerance in agents. Several experiments will be run on social network
Social Network Models for the TDR System
"... Abstract-The TDR system is an experimental multi-level slow intelligence system for personal health care. The TDR system can be used by a single user or a group of users who will interact to understand, maintain and improve each other's state of health. In this paper, we simulate social networ ..."
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networks by applying the Abstract Machine model. Two social network models are described: the Circulated Model and the Teacher Student Model. We have incorporated the Teacher Student Model into the Chi super-component of the TDR system and obtained positive experimental results. Keywords-Personal health
Empiricism for descriptive social network models
"... Social complex system modeling is at the core of a recent interdisciplinary effort, in which statistical physics has been playing a notable role; yet, the unfrequent val-idation of behavioral hypotheses possibly leads to normative rather than descrip-tive models, plausibly less appealing to social s ..."
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scientists. An epistemological insight and hindsight on this whole program is proposed, emphasizing a strong empirical methodology which extends to low-level agent-based dynamics. Special attention is given to the recent interest in knowledge diffusion models. Key words: social network models, epistemology
Goodness of fit of social network models
- Journal of the American Statistical Association
, 2008
"... We present a systematic examination of a real network data set using maximum likelihood estimation for exponential random graph models as well as new procedures to evaluate how well the models fit the observed networks. These procedures compare structural statistics of the observed network with the ..."
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Cited by 46 (7 self)
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geometrically weighted edgewise shared partner, geometrically weighted dyadic shared partner, and geometrically weighted degree network statistics. We conclude that these models capture aspects of the social structure of adolescent friendship relations not represented by previous models.
Two evolving social network models
, 2013
"... In our first model, individuals have opinions in [0, 1]d. Connections are broken at rate proportional to their length `, and a randomly chosen end point x connects to an individual chosen at random. If version (i) the new edge is always accepted. In version (ii) a new connection of length ` ′ is acc ..."
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In our first model, individuals have opinions in [0, 1]d. Connections are broken at rate proportional to their length `, and a randomly chosen end point x connects to an individual chosen at random. If version (i) the new edge is always accepted. In version (ii) a new connection of length
A Social Networking Model of a Web Community
- IN PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON SOCIAL COMMUNICATION
, 2007
"... We propose a model to represent closeness between entities within Web communities and social networks/folksonomies conceptually and numerically, and a community dynamics notification algorithm. The proposed models add value to community environments supporting social networking, and are specificall ..."
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Cited by 4 (0 self)
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We propose a model to represent closeness between entities within Web communities and social networks/folksonomies conceptually and numerically, and a community dynamics notification algorithm. The proposed models add value to community environments supporting social networking
Social network model based on keyword categorization
- ASONAM ’09: Proc. of the International Conf. on Advances in Social Networks Analysis and Mining
, 2009
"... A user profile on an online social network is characterized by its profile entries (keywords). In this paper, we study the relationship between semantic similarity of ..."
Abstract
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Cited by 2 (2 self)
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A user profile on an online social network is characterized by its profile entries (keywords). In this paper, we study the relationship between semantic similarity of
Dynamic social network models incorporating stochasticity and delays
- Quarterly of Applied Mathematics
, 2010
"... Networks are typically studied via computational models, and often investigations are restricted to the static case. Here we extend the work in [8], which demonstrated a simple dynamical system framework in which to study social network behavior, to include a discrete delay. This delay represents th ..."
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Cited by 2 (1 self)
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Networks are typically studied via computational models, and often investigations are restricted to the static case. Here we extend the work in [8], which demonstrated a simple dynamical system framework in which to study social network behavior, to include a discrete delay. This delay represents
Master’s Thesis Social Networks: Modelling and Applications
, 2007
"... Complex networks are one of the topics which have been the center of attention in recent years, among which social networks are of high impor-tance since they concern the relations and interactions between individuals, and various efforts has been focused trying to model the behavior of such network ..."
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Complex networks are one of the topics which have been the center of attention in recent years, among which social networks are of high impor-tance since they concern the relations and interactions between individuals, and various efforts has been focused trying to model the behavior
REDS: An Energy-Constrained Spatial Social Network Model
"... The organisation of living systems is neither random nor reg-ular, but tends to exhibit complex structure in the form of clustering and modularity. Here, we present a very sim-ple model that generates random networks with spontaneous community structure reminiscent of living systems, particu-larly t ..."
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-larly those involving social interaction. We extend the well-known random geometric graph model, in which spatially embedded networks are constructed subject to a constraint on edge length, in order to capture two key additional features of organic social networks. First, relationships that span longer
Results 1 - 10
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8,991
