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The Iterated Local Model for Social Networks [article]

Anthony Bonato, Huda Chuangpishit, Sean English, Bill Kay, Erin Meger
2019 arXiv   pre-print
We propose a new, generative model, referred to as the Iterated Local Model (ILM) for social networks synthesizing both transitive and anti-transitive triads over time.  ...  The previously proposed Iterated Local Transitivity (ILT) and Iterated Local Anti-Transitivity (ILAT) models incorporated transitivity and anti-transitivity, respectively, as evolutionary mechanisms.  ...  The resulting Iterated Local Transitivity (or ILT) model, while elementary to define, simulates many properties of social and other complex networks.  ... 
arXiv:1903.04523v1 fatcat:3ddtvxcgnvajhecv5myfarhcsy

The Iterated Local Directed Transitivity Model for Social Networks [article]

Anthony Bonato and Daniel W. Cranston and Melissa Huggan and Trent Marbach and Raja Mutharasan
2020 arXiv   pre-print
We introduce a new directed graph model for social networks, based on the transitivity of triads.  ...  In the Iterated Local Directed Transitivity (ILDT) model, new nodes are born over discrete time-steps, and inherit the link structure of their parent nodes.  ...  The Iterated Local Transitivity (ILT ) model introduced in [3, 4] and further studied in [2, 17] , simulates social networks and other complex networks.  ... 
arXiv:1912.08924v3 fatcat:cebwmhz3q5crbnwn2ofuuknjwi

Closeness and Structure of Friends Help to Estimate User Locations [chapter]

Zhi Liu, Yan Huang
2016 Lecture Notes in Computer Science  
In this paper, we introduce different measures to evaluate the social closeness between users and structure of friends. We propose models that use them for location estimation.  ...  The results show that our model can improve the estimation accuracy by 5% -20% compared with state-of-the-art friendbased models.  ...  We would like to thank the scientists from USDOD, Dr. James Kang and Dr. Joshua Trampier, for their insights and detailed feedback on this work.  ... 
doi:10.1007/978-3-319-32049-6_3 fatcat:zbjtmt6qq5g6fmmwnasz76mfpa

Hierarchical winner-take-all particle swarm optimization social network for neural model fitting

Brandon S. Coventry, Aravindakshan Parthasarathy, Alexandra L. Sommer, Edward L. Bartlett
2016 Journal of Computational Neuroscience  
The topology of a PSO social network is a major contributor to optimization success.  ...  In this work, we introduce a new variant on the PSO social network and apply this method to the inverse problem of input parameter selection from recorded auditory neuron tuning curves.  ...  Coventry Hierarchical architecture for the winner-take-all particle swarm social network. A.) The overall topology of the WTAPSO social network.  ... 
doi:10.1007/s10827-016-0628-2 pmid:27726048 pmcid:PMC5253113 fatcat:cihbxvti5famxjm3bwwgt52lce

Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation [article]

Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
2020 arXiv   pre-print
Under our framework, these methods can be viewed as iteratively applying a (different) local rule to every user, which propagates label information among a social graph.  ...  Second, we design a new local rule, which SybilSCAR iteratively applies to every user to detect Sybils.  ...  SybilSCAR iteratively applies our local rule to every user. Our local rule, like RW-based methods and LBP-based methods, leverages the homophily property of social networks.  ... 
arXiv:1803.04321v2 fatcat:pdi2ycozjbdb5ltnm3xpqoqmca

Synthesizing community wisdom: A model for sharing cancer-related resources through social networking and collaborative partnerships

Jacob B Weiss, Nancy M Lorenzi, Nancy Lorenzi
2008 AMIA Annual Symposium Proceedings  
We present the formulation of a novel model for synthesizing a local communitys collective wisdom of cancer-related resources through a combination of online social networking technologies and real-world  ...  In addition to the current models of print and online resource guides, new community-driven informatics approaches are needed to achieve the goal of comprehensive care for cancer survivors.  ...  Randolph Miller and Eta Berner for their contributions to this work. The input from the community participants and other colleagues also has been invaluable.  ... 
pmid:18999298 pmcid:PMC2656050 fatcat:t454kbteindnln3a7lnoqr7h7q

Disease evolution on networks: the role of contact structure

J. M. Read, M. J. Keeling
2003 Proceedings of the Royal Society of London. Biological Sciences  
In the local networks, high transmission rates are selected for, as there is intense competition for susceptible hosts between disease progeny.  ...  In contrast to mean-field models, the use of contact networks greatly constrains the evolutionary dynamics.  ...  For the local and global networks, the parameters are averaged over 1000 iterations, and again 100 simulations are used.  ... 
doi:10.1098/rspb.2002.2305 pmid:12713743 pmcid:PMC1691304 fatcat:jdkpqxutm5cphc6kzlrkk7g5mq

An Immunity Placement Method for Suppressing Spread of Viruses

Masato Mabe, Yuuki Morita, Misa Fujita, Takayuki Kimura
2017 Journal of Signal Processing  
The spread of viruses, such as flu and SARS, can be modeled using social networks.  ...  In this study, we modeled the spread of a virus in a social network and attempted to suppress the virus by immunizing nodes.  ...  Thus, we evaluated the performance of each immunity placement method not only for the BA model network but also for the WS model network.  ... 
doi:10.2299/jsp.21.159 fatcat:c3g24vpgijbj7ijmhga2c4n4qa

A locality model of the evolution of blog networks

Mark Goldberg, Malik Magdon-Ismailt, Stephen Kelley, Konstantin Mertsalov
2008 2008 IEEE International Conference on Intelligence and Security Informatics  
We present a model of evolution of large social networks. Our model is based on the local nature of communication: a node's communication energy is spend mostly within it's small social area.  ...  We test our model on the Blog network hosted by LiveJournal.  ...  Our model is based on three fundamental principles for describing evolution dynamics in social networks: Locality. Every blogger is aware of her local neighborhood.  ... 
doi:10.1109/isi.2008.4565053 dblp:conf/isi/GoldbergMKM08 fatcat:varizsblyvgxffyre6eukipglm

Agent-Based Modeling and Simulation of Collaborative Social Networks

Gregory R. Madey, Yongqin Gao, Vincent W. Freeh, Renee Tynan, Chris Hoffman
2003 Americas Conference on Information Systems  
The nature of social network processes hidden from view that could plausibly generate the observed system properties can be discover through an iterative modeling, simulation, and validation and verification  ...  We describe a research framework for studying social systems. The framework uses agent-based modeling and simulation as key components in the process of discovery and understanding.  ...  Acknowledgment This research was funded in part by the NSF Award-0222829, from the Digital Society & Technologies Program, CISE/IIS.  ... 
dblp:conf/amcis/MadeyGFTH03 fatcat:hxsf35wp25f3xn4cc2jwuotva4

SybilSCAR: Sybil detection in online social networks via local rule based propagation

Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2017 IEEE INFOCOM 2017 - IEEE Conference on Computer Communications  
Under our framework, these methods can be viewed as iteratively applying a (different) local rule to every user, which propagates label information among a social graph.  ...  Second, we design a new local rule, which SybilSCAR iteratively applies to every user to detect Sybils.  ...  SybilBelief models a social network as a pairwise Markov Random Field (pMRF).  ... 
doi:10.1109/infocom.2017.8057066 dblp:conf/infocom/WangZG17 fatcat:juf37gzv3rglpjuw4attbqmsfq

SPOT

Longbo Kong, Zhi Liu, Yan Huang
2014 Proceedings of the VLDB Endowment  
The demo shows three different location estimation algorithms: a friend-based, a social closeness-based, and an energy and local social coefficient based.  ...  The demo will also show that all three algorithms benefit from a confidence-based iteration method. The demo is web-based.  ...  The core components include the friend-based model, the social closeness based model, the energy and local social coefficient model and the confidence-based iteration method.  ... 
doi:10.14778/2733004.2733060 fatcat:vbm22gsdrfeebij3jm6xbutoju

Learning latent friendship propagation networks with interest awareness for link prediction

Jun Zhang, Chaokun Wang, Philip S. Yu, Jianmin Wang
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
We model individuals' social behaviors using the Latent Friendship Propagation Model (LFPM), a probabilistic generative model from which the LFPN can be learned effectively.  ...  It's well known that the transitivity of friendship is a popular sociological principle in social networks.  ...  model for the social behaviors in social networks.  ... 
doi:10.1145/2484028.2484029 dblp:conf/sigir/ZhangWYW13 fatcat:x6hrrewwivhfzkmkliqumtvrbu

Models of Communication Dynamics for Simulation of Information Diffusion

Konstantin Mertsalov, Malik Magdon-Ismail, Mark Goldberg
2009 2009 International Conference on Advances in Social Network Analysis and Mining  
We discover that the diffusion footprint on our models closely approximate the diffusion footprint of the real-life dynamic network.  ...  We study information diffusion in real-life and synthetic dynamic networks, using well known threshold and cascade models of diffusion.  ...  The results indicate that these models are good approximations to the reality in large social networks and hence provide a viable test bed for studying diffusion in social networks, especially networks  ... 
doi:10.1109/asonam.2009.73 dblp:conf/asunam/MertsalovMG09 fatcat:vxiskio57jb5fc6gdym574uzne

Motif Iteration Model for Network Representation [article]

Lintao Lv, Zengchang Qin, Tao Wan
2017 arXiv   pre-print
In this paper, we propose the Motif Iteration Model (MIM) to represent the structure of a social network. As the name suggested, the new model is based on iteration of basic network motifs.  ...  The algorithm is for mapping from the adjacency matrix of a network to a binary image, it shows a new perspective of network structure visualization.  ...  This work is supported by the National Science Foundation of China Nos. 61401012 and 61305047.  ... 
arXiv:1710.00644v2 fatcat:iutoo2vukzbb5kafemnnw55wpa
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