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Can dynamic network modeling be used to identify adaptive microbiomes?

Joshua Garcia, Jenny Kao‐Kniffin
2019 Functional Ecology  
Microbiomes of hosts and host habitats are rich reservoirs of biodiversity consisting of bacteria, archaea, viruses and fungi (Bordenstein & Theis, 2015; Fierer, 2017) .  ...  Within these microbiomes, organisms form a variety of ecological relationships with one  ...  ACK N OWLED G EM ENTS We thank Terrence Bell for re-analysing the 16S rRNA gene sequences for the network analysis.  ... 
doi:10.1111/1365-2435.13491 fatcat:d7f7hyynyza5toqvx3ae4ic3pa

Analysis of User Network and Correlation for Community Discovery Based on Topic-Aware Similarity and Behavioral Influence

Xiaokang Zhou, Bo Wu, Qun Jin
2017 IEEE Transactions on Human-Machine Systems  
Index Terms-Community discovery, social behavior analysis, social influence, social network analysis, user correlation.  ...  This study concentrates on analyzing potential and dynamic user correlations, based on topic-aware similarity and behavioral influence, which may help us to discover communities in social networking sites  ...  Gray, Emeritus Professor of Waseda University, for his invaluable editorial comments. For the first author, part of this work was conducted for his Ph.D. thesis at Waseda University.  ... 
doi:10.1109/thms.2017.2725341 fatcat:p2so5cr5cvhszfoz6gsu5trtpq

Dynamic causal brain circuits during working memory and their functional controllability

Weidong Cai, Srikanth Ryali, Ramkrishna Pasumarthy, Viswanath Talasila, Vinod Menon
2021 Nature Communications  
Network analysis of directed causal influences suggests the anterior insula node of the SN and dorsolateral prefrontal cortex node of the FPN are causal outflow and inflow hubs, respectively.  ...  Here we use system identification, network science, stability analysis, and control theory to probe functional circuit dynamics during working memory task performance.  ...  Yuan Zhang, Tianwen Chen, and Carlo de los Angeles for assistance with data analysis.  ... 
doi:10.1038/s41467-021-23509-x pmid:34188024 fatcat:ej3mrsiusbfcfgtwrdexridpia

Influence Maximization on Mobile Social Network using Location based Community Greedy Algorithm

Smita Bhosale, Dhanshree Kulkarni
2015 International Journal of Computer Applications  
A mobile social network plays an important role as the spread of information and influence in the form of "word-of-mouth".  ...  It will increase the spread of the influence .The problem of finding the most influential nodes in network is NP-hard.  ...  The proposed analysis is scaled to a real large social network in following ways.  ... 
doi:10.5120/21810-5133 fatcat:diznpswoqvcf3eshcwypfmtlfy

Improving resolution of dynamic communities in human brain networks through targeted node removal

Kimberly J. Schlesinger, Benjamin O. Turner, Scott T. Grafton, Michael B. Miller, Jean M. Carlson, Daniele Marinazzo
2017 PLoS ONE  
We refer to C as the influence matrix of the network. We design C to have a modular structure, consisting of a number of communities of influence.  ...  In current research, evaluation of community "correctness" is largely based on correspondence with anatomy, pre-existing knowledge of functional roles, or statistical analysis of community robustness  ... 
doi:10.1371/journal.pone.0187715 pmid:29261662 pmcid:PMC5737970 fatcat:c4oyctnw4vb2fihae3s3sfc3k4

Dynamic Network Community Detection with Coherent Neighborhood Propinquity

Naiyue Chen, Bo Hu, Yuqun Rui
2020 IEEE Access  
Based on the characteristics of dynamic networks, this paper analyzed the influence of variables in dynamic networks structure.  ...  The community structure detection in static networks often ignores the dynamic nature of the network and it is difficult to identify the evolution of community structure in dynamic networks.  ...  THRESHOLD ANALYSIS We analysis the change in dynamic network community structures with different thresholds based on Enron Email Dataset provided on the CMU Computer Institute website [25] .  ... 
doi:10.1109/access.2020.2970483 fatcat:hdsdvfb6bfaqpjsw2ch7pbggda

Simulation based Timing Analysis of FlexRay Communication at System Level

Stefan Buschmann, Till Steinbach, Franz Korf, Thomas Schmidt
2013 Proceedings of the Sixth International Conference on Simulation Tools and Techniques  
In modern cars the communication infrastructure consists of different application specific bus systems that are interconnected with each other.  ...  Due to the growing complexity of the communication infrastructure, the corresponding timing analysis at system level is currently a hot topic in the automotive industry.  ...  Acknowledgments This work is funded by the Federal Ministry of Education and Research of Germany (BMBF) within the RECBAR project.  ... 
doi:10.4108/icst.simutools.2013.251724 dblp:conf/simutools/BuschmannSKS13 fatcat:rjt47fimavbyjmdxg3rfx3auzu

A Greedy Algorithm Approach for Mobile Social Network

Smita Bhosale, Dhanshree Kulkarni
2015 International Journal of Computer Applications  
With the proliferation of mobile devices and wireless technologies, mobile social network systems used more. A mobile social network has important role in social network.  ...  It has two parts: dividing the large-scale mobile social network into many communities by taking under consideration data diffusion. Communities select influential nodes by a dynamic programming.  ...  With the shape of spoken data or influence spreads upon the social network, that may be a elementary issue in social network analysis.  ... 
doi:10.5120/19619-1139 fatcat:x2k6lmvprbhgrew455va5fi25q

Identification of effective spreaders in contact networks using dynamical influence

Ruaridh A. Clark, Malcolm Macdonald
2021 Applied Network Science  
This paper improves eigenvector-based spreader selection by introducing the non-linear relationship between contact time and the probability of disease transmission into the assessment of network dynamics  ...  For systems governed by consensus dynamics, network structure is key to optimising the spread of information.  ...  Authors' contributions RC was involved in the conceptualisation, analysis, methodology, visualisation, and drafting of the manuscript.  ... 
doi:10.1007/s41109-021-00351-0 pmid:33490367 pmcid:PMC7814176 fatcat:vovzza6gevb6tkbceua3slutbq

Network Analytics ER Model – Towards a Conceptual View of Network Analytics [chapter]

Qing Wang
2014 Lecture Notes in Computer Science  
The NAER Model -Examples • Each collaborative community is a group of authors in a network over S co measured by closeness centrality. cluster-by(S co , author * , cent-closeness). • The influence of an  ...  A Question 1 • What is the role of conceptual modelling in Big-data analytics, such as network analysis?  ... 
doi:10.1007/978-3-319-12206-9_13 fatcat:mfxcnchjdfaa5bbu6efx4kgnji

Toward Information Diffusion Model for Viral Marketing in Business

Lulwah AlSuwaidan, Mourad Ykhlef
2016 International Journal of Advanced Computer Science and Applications  
Most of the literature have focused on achieving objectives such as influence maximization or community detection.  ...  The literature review reveals a lack of new diffusion methods, especially in dynamic and large-scale networks. It also offers insights into applying various mining methods for viral marketing.  ...  Applying intelligence methods to online social network analysis has had a large impact in terms of social influence.  ... 
doi:10.14569/ijacsa.2016.070280 fatcat:6t4mopwhjrgovkyejylkac7lfm

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
YONGQIANG ZHAO (Member, IEEE) received the B.S. degree in automation and the M.S. and Ph.D. degrees in control theory and control engineering from Northwestern  ...  The article by Chen et al., ''Dynamic network community detection with coherent neighborhood propinquity,'' proposes an incremental algorithm with Coherent Neighborhood Propinquity in dynamic networks.  ...  ., ''A sentiment analysis method of capsule network based on BiLSTM,'' proposes a capsule network model with BiLSTM named caps-BiLSTM for sentiment analysis.  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

Research on the Dynamic Evolution Law of Knowledge Sharing Behavior Based on Expectation in Online Learning Community

Dan Xia, Central China Normal University, China, Huirong Ke, Yuan Tian
2019 International Journal of Information and Education Technology  
network under the influence of this factor.  ...  This paper analyzes the characteristics of knowledge sharing behavior in online learning communities, builds a prisoner's dilemma game model of learners' knowledge sharing behavior based on expectation  ...  CONFLICT OF INTEREST The authors declare no conflict of interest.  ... 
doi:10.18178/ijiet.2019.9.10.1297 fatcat:h64wxg47rbbknatzezco7t4d7u

A Review on Online Social Network: Issues & Challenges

Rahul Nema, Anjana Pandey
2016 Social Networking  
The Usage of Online social network is increasing day by day where a large number of users publicly access their friend's link and post any message on the wall.  ...  Here in this paper various issues and challenges from various techniques are discussed and hence on the basis of various issues a new and efficient technique is implemented in future.  ...  Here in this paper a complete survey of all such techniques is discussed and analyzed, hence on the basis of various issue a new and efficient technique is implemented.  ... 
doi:10.4236/sn.2016.52006 fatcat:qgcmboyhhbfttgojljbmsigbz4

Dynamic Community Mining based on Behavior Prediction

Xiao Chen
2018 International Journal of Performability Engineering  
Dynamic network research has been a new trend in recent years. Based on the influence of vertex behavior on community structure, this paper studies signed network dynamic community mining.  ...  Then, based on the dynamic model, the evolution of signed networks and community discovering are studied.  ...  Therefore, the research of the dynamic community discovering and evolving has become one of the research hotspots in signed network analysis.  ... 
doi:10.23940/ijpe.18.07.p23.15901599 fatcat:rvbc6kqjvndm3knfyfmsfvckry
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