Time vs seeds for di®erent datasets CELF++ (NetHept) ASIM (NetHept) CELF++ (HepPH) ASIM (HepPH) FUTURE DIRECTIONS Extension to the LT model Prove approximation. pdf), Text File (. One noticeable result is the knee in the curve of our algorithm. galhotra, akhil. 4 Maximal Degree 64 588 3079 425 #Connected Com1781 73K 11 1 ponent Largest Component 6794 517K 76K 262K Size Average Compo8. Your data in BigQuery is in tables in a dataset. We choose three real-world social networks: Facebook social network, NetHEPT citation network, and Flickr social network (Table 2 summarizes the statistical information of the datasets): (i) Facebook: this dataset is the friendship relationship network among New Orleans regional network on Facebook, spanning from September 2006 to January 2009. fm, Flixster, and DBLP. A ZFS on Windows dataset-jei immár elérhetők Linux alól. Does anyone know if there is a DataSet class in Java like there is in. Additional source code and datasets (for other publications) can be made available. For 2 phases on NetHEPT dataset (15,233 nodes) [6, 7, 25], Figure 1(a) presents optimal budget allotted for phase 1 as a function of w0 jj (assuming equal w 0 jj,∀j ∈N) with kд = kb =100(U=1andv (0) i = 0,∀i∈N). Is their anything i need to modifity to execute imp utility. This research is supported by the National Research Foundation, Prime Minister's Office, Singapore, under its IDM Futures Funding Initiative, and by Singapore Ministry of Education Academic Research Fund Tier 1 under Grant 2017-T1-002-024 and Tier 2 under Grant MOE2015-T2-2-114. com ABSTRACT The steady growth of graph data from social networks has. Gene and protein interaction data are often represented as interaction networks, where nodes stand for genes or gene products and each edge stands for a relationship between a pair of gene nodes. Transferability Statistics: The Bureau of Transportation Statistics (BTS) has developed 2009 NHTS Transferability Statistics by census tract. [email protected] 92% increase and its median household income grew from $53,843 to $57,597, a 6. i checked NLS_Lang parameters but not find any issue. 9K 262K nent Size (a) normal scale (b) log-log scale Figure 1: Scalability of different. 15, 2016 27 Name Description # of nodes # of edges Edge probability NetHEPT Academic collaboration network 15233 62774 Weighted cascade (synthetic) Flixster (topic 8) Movie rating induced network 14473 64934 Learned from trace Flixster (Mixed, topics 1 & 4) Movie rating induced network 7118 23252 Learned from trace,. According to the report, the primary dataset used to build uBiome's first clinical test, SmartGut, was populated by samples volunteered by employees and participants in an online fundraiser. 2 Influence spread of different algorithms on four real datasets 如 图2(a) 、 (b) 所示,在NetHEPT和Facebook数据集上LTDIM和Opt-LTDIM与静态算法的影响范围非常接近。. SWAPNIL DHAMAL. Emotion labels obtained using an automatic classifier can be found for the faces in VoxCeleb1 here as part of the 'EmoVoxCeleb' dataset. 0 International licence. virinchi, shourya. Previous studies mainly focus. fluential nodes on the final NetHEPT dataset, while the time is even. Finding the most influential people is an NP-hard problem that has attracted many researchers in the field of social networks. Experimental evaluations are carried out by use of NetHEPT and Epinion datasets. Finally, we add the key field "version" to keep track over different releases of ActivityNet. This workshop will provide the opportunity to understand one another's roles and expectations for the integration process of a dataset into the CDS catalogue, including the Toolbox and Evaluation and. Dataset used: [data for two collaboration graphs NetHEPT and NetPHY][DBLP graph data] Code is available upon request by email - Influence diffusion modeling and maximization for complex social interactions: We model complex social interactions including negative opinions due to product defects, competitive influence diffusion, and friend/foe. Figure 8: maximal influence spread by 50 seeds w. 基金项目 国家自然科学基金资助项目(61472340);河北省科技计划项目(15210913) 通信作者 刘院英(1977-),女,河北石家庄人,讲师,博士研究生,ccf会员,主要研究方向:在线社会网络. Network Repository is the first interactive data repository for graph and network data. " Says Arjan Wijnveen, CEO at. Please share how this access benefits you. Between 2016 and 2017 the population of Atlanta, GA grew from 472,506 to 486,299, a 2. This research is supported by the National Research Foundation, Prime Minister's Office, Singapore, under its IDM Futures Funding Initiative, and by Singapore Ministry of Education Academic Research Fund Tier 1 under Grant 2017-T1-002-024 and Tier 2 under Grant MOE2015-T2-2-114. Conclusion 51. This approach is also supported by a key connection between the persistence probability of a community and its local topology. edu University of Massachusetts, Amherst January 27, 2017 NEDB, 2017 1The first two authors have contributed equally to this work. Detailed simulation setup is provided in [11]. [email protected] EFFECTIVENESS OF DIFFUSING INFORMATION THROUGH A SOCIAL NETWORK IN MULTIPLE PHASES 8 Our general observation is that an optimal budget split is the one which would lead to an almost equal number of nodes getting influenced in expectation, across the given number of phases. jj (NetHEPT) Simulation Results. Debunking the Myths of Influence Maximization Akhil Arora1, Sainyam Galhotra1, Sayan Ranu [email protected] txt) or read online for free. NetHEPT dataset: •collaboration network from physics archive •15K nodes, 31K edges Epinions dataset: •who -trust whom network of Epinions. In this example I'm using data-set iris which is a pre-loaded in R Dimension Check the. Problem Motivation Problem Formulation Models Adopter Model Benefit Model Combine Model Algorithm Experiments Conclusion. Browse the Dataset. 数据集(具体数据集的介绍见原文):America College Football dataset[13],P2P-Gnutella08 dataset[27],NetHEPT dataset[7],NetPHY dataset[7],Email-Enron[28-29] 一、文章摘要 本篇文章指出:关于影响力的研究主要限制在用户层(user-level),社区(community)层次的影响力很少涉及。. Static Face Images for all the identities in VoxCeleb2 can be found in the VGGFace2 dataset. Download Presentation StaticGreedy: Solving the Scalability-Accuracy Dilemma in Influence Maximization - PowerPoint PPT Presentation Like. Google releases massive visual databases for machine learning Millions of images and YouTube videos, linked and tagged to teach computers what a spoon is. Datasets Nodes Edges Type Diameter Nethept 15,233 58,891 Undirected 14 Netphy 37,154 196,591 Undirected 12 Email-EuAll 265,214 420,045 Directed 14. CELF++: Optimizing the Greedy Algorithm for Influence Maximization in Social Networks (Technical Report) Amit Goyal Dept. We make use of structural communities of the input network. NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) released the following datasets. Finding correlations in complex datasets. To collect this data, we designed an easy-to-use and scalable RGB-D capture system that includes automated surface reconstruction and crowdsourced semantic. the optimization introduced in CELF++ is orthogonal to the method used for estimating the spread, our idea can be combined with the heuristic approaches that are based on the greedy algorithm to obtain highly scalable algorithms for influence maximization. 03461v3 [cs. Data Set Information: News are grouped into clusters that represent pages discussing the same news story. Debunking the Myths of Influence Maximization Akhil Arora1, Sainyam Galhotra1, Sayan Ranu [email protected] State Committee of the Republic of Uzbekistan on Geology and Mineral Resources. Essentially, synthetic datasets are artificially manufactured using big data and machine learning "We create state-of-the-art synthetic datasets for algorithm training. 15, 2014 23 graph # of nodes # of edges edge probabilities description Wiki-Vote 7,115 103,689 synthetic, weighted cascade voting network in Wikipedia NetHEPT 15,233 58,891 synthetic, weighted cascade collaboration network in arxiv. NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) released the following datasets. Now Available: GTD 2017 Dataset. SWAPNIL DHAMAL. NetHEPT and NetPHY) from Available Datasets; extract ipa-desktop. 数据集(具体数据集的介绍见原文):America College Football dataset[13],P2P-Gnutella08 dataset[27],NetHEPT dataset[7],NetPHY dataset[7],Email-Enron[28-29] 一、文章摘要 本篇文章指出:关于影响力的研究主要限制在用户层(user-level),社区(community)层次的影响力很少涉及。. The efficiency of IncInf is only slightly better than IMM on our small dataset NetHEPT, but it performs considerably better than IMM on Flickr dataset: the running time of IncInf is only 40% on average of IMM on each snapshot. On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks. arora, srinivas. Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network Peng Zhang1, Wei Chen2, Xiaoming Sun3, Yajun Wang2, Jialin Zhang3 1. It is a test network. Febrary 21, 2018 Page 21/22 • Diffusion model - Independent cascade (IC) model The weight of edge (u, v) = 1/𝑖𝑑𝑒𝑔𝑟𝑒𝑒 𝑣 𝑖𝑑𝑒𝑔𝑟𝑒𝑒 𝑣 : the number of in-coming edges of node v • Dataset Experimental setup Dataset NetHEPT NetPHY Stanford DBLP # of Nodes 15K 37K 281K 655K # of Edges 58K 231K 2. Object S_DATASET provides authorizations for accessing files from ABAP/4 programs. com •76K nodes, 509K edges. Currently, TensorFlow I/O offers 3 varieties. Secondly, there's the question of signal strength. Dataset Description node edge Flixster movie social 29357 212614 NetHEPT author/co-author 15233 62774 50. Everything you ever wanted to know about identifying, screening, and hiring exceptional data scientists comes packed in this handy guide. [email protected] ComPath is faster and more efficient than the state of the art algorithms. When … = 0. CELF++ Algorithm 1 describes the CELF++ algorithm. 2019-08-24T07:48:39Z (GMT) by Marco D'Oria. 5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations. Data namespace and represents a single table of memory-resident data. Exclusion criteria - dataset level 2. UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). Complexity is a peer-reviewed, Open Access journal that reports important advances in the scientific study of complex systems. Dataset, so they leverage the same APIs to integrate with tf. Datasetに関するwlbhiroのブックマーク (5). A data set contains a subset of tables and rows, stored as a single table in columnar. Demaine MohammadTaghi Hamid Mahini +. ComPath is faster and more efficient than the state of the art algorithms. Commentaires. com/archive/files/descriptions/NCSIIIED. Previous studies mainly focus. ca Wei Lu Dept. The NetHEPT dataset [6] is extensively used in many influence maximization studies. edu University of Massachusetts, Amherst January 27, 2017 NEDB, 2017 1The first two authors have contributed equally to this work. We make use of structural communities of the input network. A new algorithm, named ComPath, is proposed based on the linear threshold model. Dataset, so they leverage the same APIs to integrate with tf. Competitive experimental results confirm the quality. Influence maximization (IM) is the problem of finding a seed set composed of k nodes that maximize their influence spread over …. zip into C:/IPA Demo/Data (optional to handle dataset from Stanford Large Network Dataset Collection). jj (NetHEPT) Simulation Results. Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks Wei Chen …. arora, srinivas. 04, not easily speed up Greedy by reducing the number of sim- 0. Data Analytics #datascience #datascientist #datasciences #datasets #machinelearning Salaries OF Data Science Professionals #datascience #datascientist #datasciences #datasets. Debunking the Myths of Influence Maximization Akhil Arora1, Sainyam Galhotra1, Sayan Ranu [email protected] 5, TCIM finishes within 7 seconds for the NetHEPTdataset and finishes within 23 seconds for the Epinion dataset. Net? I am familiar with EJB3 and the "java way" of doing data. FlowingData is a never-ending source of information, inspiration and instruction in data. i checked NLS_Lang parameters but not find any issue. About expression data at MaizeGDB. download datafile (e. Complex systems are characterized by interactions between their components that produce new information — present in neither the initial nor boundary conditions — which limit their predictability. CELF++ Algorithm 1 describes the CELF++ algorithm. 008, for the NetHEPT dataset. This means that the clips obtained reflect the distribution of the uploaded videos. The NetHEPT dataset [6] is extensively used in many influence maximization studies. , NetHEPT, and Flickr. The most frequently used is the degree-. 10/21/15 ANALYZING COMPETITIVE INFLUENCE MAXIMIZATION PROBLEMS 19 Remarks: 1. Influence Maximization for Viral Marketing Objective function Influence spread I(S) : expected number of activated (influenced/adpoted) nodes Maximize I(S) Input: A social influence graph G=(V, E) An information cascade model An integer k, |S| ≤ k Output: A seed set S Information Cascade Model Independent cascade (IC) model each edge (u, v. A data set contains a subset of tables and rows, stored as a single table in columnar. elegans dataset. 발표자: 고윤용(한양대 박사과정) 발표일: 2018. Previous studies mainly focus. Yuanjun Bi Jan. edu is a platform for academics to share research papers. of Computer Science University of British Columbia Vancouver, BC, Canada [email protected] msr-tr-2010-2_v2_工学_高等教育_教育专区。social fluence. In this example I'm using data-set iris which is a pre-loaded in R Dimension Check the. Your data in BigQuery is in tables in a dataset. ComPath is faster and more efficient than the state of the art algorithms. on three widely-used real-life network datasets, which include PGP [1], NetHEPT 1, and WikiVote 2. Dataset augmentation. Dataset NetHEPT DBLP Epinions Amazon #Node 15K 655K 76K 262K #Edge 31K 2. Download Presentation StaticGreedy: Solving the Scalability-Accuracy Dilemma in Influence Maximization - PowerPoint PPT Presentation Like. i checked NLS_Lang parameters but not find any issue. 65x speedup on average. Please select whether you prefer to view the MDPI pages with a view tailored for mobile displays or to view the MDPI pages in the normal scrollable desktop version. ca Wei Lu Dept. Adding Noise to the inputs. This means that the clips obtained reflect the distribution of the uploaded videos. Exclusion criteria - dataset level 2. 3 Empirical Analysis We have conducted experiments in real-world datasets in order to evaluate. com ABSTRACT The steady growth of graph data from social networks has. A new algorithm, named ComPath, is proposed based on the linear threshold model. For 2 phases on NetHEPT dataset (15,233 nodes) [6, 7, 25], Figure 1(a) presents optimal budget allotted for phase 1 as a function of w0 jj (assuming equal w 0 jj,∀j ∈N) with kд = kb =100(U=1andv (0) i = 0,∀i∈N). In this study, we investigate the community partition problem in social networks. WikiVote NetHEPT EpinionsEmail-EuAll 10-2 100 102 104 106 Running time (s) Greedy SimPath LDAG MATI Degree (a) (b) Fig. 3 and a median household income of $57,597. Effective visualization is the best way to communicate information from the increasingly. Time vs seeds for di®erent datasets CELF++ (NetHept) ASIM (NetHept) CELF++ (HepPH) ASIM (HepPH) FUTURE DIRECTIONS Extension to the LT model Prove approximation. augusztus 23. This key word can also be used to assign the authorization for using operating system commands as a file. org Flixster 1 28,327 206,012 learned from action trace rating network in. virinchi, shourya. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". NET DataSet contains a collection of zero or more tables represented by DataTable objects. To certify the efficiency and stability of the discovered communities, we test SCD on both synthesized datasets and real-world social traces, including the NetHEPT collaboration, Foursquare, Twitter and Facebook social. 발표자: 고윤용(한양대 박사과정) 발표일: 2018. If a paper i cites paper j, the graph contains a directed edge from i to j. 9K 262K nent Size (a) normal scale (b) log-log scale Figure 1: Scalability of different. Adding Noise to the inputs. 数据集(具体数据集的介绍见原文):America College Football dataset[13],P2P-Gnutella08 dataset[27],NetHEPT dataset[7],NetPHY dataset[7],Email-Enron[28-29] 一、文章摘要 本篇文章指出:关于影响力的研究主要限制在用户层(user-level),社区(community)层次的影响力很少涉及。. Conclusion 51. The datasets only represent a fraction of the data collected by the companies' respective AV fleets, but they should give researchers enough data to develop insights for publication in academic journals. We make use of structural communities of the input network. Abstract Social influence is a ubiquitous phenomenon in human life. Secondly, there's the question of signal strength. One noticeable result is the knee in the curve of our algorithm. This is a collection of DataTables. Rating of organizations by dataset and number of downloads. ComPath is faster and more efficient than the state of the art algorithms. ( trey | 2019. Published byRosanna Franklin Modified over 3 years ago. 92% increase and its median household income grew from $53,843 to $57,597, a 6. Figure 14: Running time of different algorithms in 3 datasets Figure 12: Influence spread for different algorithms in the TRIVANLENCY model with three probabilities 0. These issues require international collaboration to be addressed effectively. 5, TCIM finishes within 7 seconds for the NetHEPTdataset and finishes within 23 seconds for the Epinion dataset. プロシージャ、関数、およびその他のプログラムへの入出力パラメータとして使用できます。 1つまたは複数の一時テーブルがDATASET (ProDatasetとも呼ばれます). 5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations. cy, blackburn. A ZFS on Windows dataset-jei immár elérhetők Linux alól. Exclusion criteria - dataset level 2. The experiments are conducted on three real-world social networks, and the experimental results show that more accurate partitions according to influence propagation can be obtained using our algorithms rather than using some classic community partition algorithms. datasets[]=uscrn&datasets[]=climdiv¶meter=anom-tmin https://www. arora, srinivas. fluential nodes on the final NetHEPT dataset, while the time is even. That might sound like a good accuracy, but we might be deceived. Object S_DATASET provides authorizations for accessing files from ABAP/4 programs. 9K 262K nent Size (a) normal scale (b) log-log scale Figure 1: Scalability of different. A seed-set size of K=100 is set for the PGP, NetHEPT, and WikiVote datasets. A ZFS on Windows dataset-jei immár elérhetők Linux alól. of Computer Science University of British Columbia Vancouver, BC, Canada [email protected] , 2010a, Chen et al. 3, data is instead extended by shallow merge. Socable Influence Maximization 1. Experimental evaluations are carried out by use of NetHEPT and Epinion datasets. 5, TCIM finishes within 7 seconds for the NetHEPTdataset and finishes within 23 seconds for the Epinion dataset. , 2009, Chen et al. Network Repository is the first interactive data repository for graph and network data. It hasn't quite gotten to the point where you've stuck some sensors onto your Toyota and researched onboard processors. c# dataset In this session we will learn: - DataSet. UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). In the key field "taxonomy", we include a parent-child relationship for every activity in the dataset. EFFECTIVENESS OF DIFFUSING INFORMATION THROUGH A SOCIAL NETWORK IN MULTIPLE PHASES 8 Our general observation is that an optimal budget split is the one which would lead to an almost equal number of nodes getting influenced in expectation, across the given number of phases. jj (NetHEPT) Simulation Results. There are 15 233 nodes and 58 891 undirected edges (including duplicated edges) in the NetHEPT dataset. CELF++: Optimizing the Greedy Algorithm for Influence Maximization in Social Networks (Technical Report) Amit Goyal Dept. Influence Maximization for Viral Marketing Objective function Influence spread I(S) : expected number of activated (influenced/adpoted) nodes Maximize I(S) Input: A social influence graph G=(V, E) An information cascade model An integer k, |S| ≤ k Output: A seed set S Information Cascade Model Independent cascade (IC) model each edge (u, v. Figure 8: maximal influence spread by 50 seeds w. IV-Greedy significantly outperforms Top-K. Detailed simulation setup is provided in [11]. Identifying the most influential individuals can provide invaluable help in developing and deploying effective viral marketing strategies. Dataset NetHEPT DBLP Epinions Amazon #Node 15K 655K 76K 262K #Edge 31K 2. EFFECTIVENESS OF DIFFUSING INFORMATION THROUGH A SOCIAL NETWORK IN MULTIPLE PHASES 8 Our general observation is that an optimal budget split is the one which would lead to an almost equal number of nodes getting influenced in expectation, across the given number of phases. , 2010a, Chen et al. If a paper i cites paper j, the graph contains a directed edge from i to j. About expression data at MaizeGDB. * * Network Datasets Statistics of the datasets: * * Experimental Results: Influence and profit of trivalency PR-I on NetHept * * Experimental Results: Influence and profit of weighted cascade PR-I on Epinion * * Experimental Results: Price Assignment for Seeds * * Experimental Results: Profit comparison of APAP and PAGE Experimental Results. That doesn't mean it wasn't there, but it would require a different dataset to try and find it. pdf), Text File (. Previous studies mainly focus. Network Datasets Multi-level Graph Visualization: From Global to Local Graph Properties Select a network below for a multi-level graph visualization that leverages both local and global graph properties , as well as additional features and tools including:. The NetHEPT dataset [6] is extensively used in many influence maximization studies. 92% increase and its median household income grew from $53,843 to $57,597, a 6. The slope of increasing influence spread is steeper in NetHEPT in comparison to WikiVote dataset, since NetHEPT is a larger network and diffusion of influence in this network takes more time. Identifying the most influential individuals can provide invaluable help in developing and deploying effective viral marketing strategies. Please share how this access benefits you. GitHub is home to over 36 million developers working together to host and review code, manage projects, and build software together. 3 Empirical Analysis We have conducted experiments in real-world datasets in order to evaluate. The project performed a comparative study between Statistical, Neural and Symbolic learning algorithms. Lakshmanan Dept. edu is a platform for academics to share research papers. On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks. Richard Lawler , @Rjcc. Data namespace and represents a single table of memory-resident data. Summary and Future Plan • Non-adaptive model. HEC_RAS files and DTM used for the simulations. Adding Noise to the inputs. Modeling influence diffusion in social networks is an important challenge. 10/21/15 ANALYZING COMPETITIVE INFLUENCE MAXIMIZATION PROBLEMS 19 Remarks: 1. Also see the documentation, the handout, and the 1995/2001 Trip Chaining datasets. Fájlrendszerek. In this result, we rely onthe client player'a video content provider such as YouTube or Huluup the greedy step via "lazy evaluation" [30]. Simulation data. It hasn't quite gotten to the point where you've stuck some sensors onto your Toyota and researched onboard processors. 5, TCIM finishes within 7 seconds for the NetHEPTdataset and finishes within 23 seconds for the Epinion dataset. Its data source is an Azure SQL DB. When … = 0. Lakshmanan Dept. txt) or read online for free. In this study, we investigate the community partition problem in social networks. With the popularity of social network sites, and the development. the threshold 1 /θ in the WC model, for NetHEPT dataset. Finding correlations in complex datasets. 数据集(具体数据集的介绍见原文):America College Football dataset[13],P2P-Gnutella08 dataset[27],NetHEPT dataset[7],NetPHY dataset[7],Email-Enron[28-29] 一、文章摘要 本篇文章指出:关于影响力的研究主要限制在用户层(user-level),社区(community)层次的影响力很少涉及。. A new algorithm, named ComPath, is proposed based on the linear threshold model. •Datasets KDD'2016, Aug. About expression data at MaizeGDB. With the popularity of social network sites, and the development. The dataset includes also references to web pages that, at the access time, pointed (has a link to) one of the news page in the collection. Acknowledgements. Network Datasets Multi-level Graph Visualization: From Global to Local Graph Properties Select a network below for a multi-level graph visualization that leverages both local and global graph properties , as well as additional features and tools including:. For 2 phases on NetHEPT dataset (15,233 nodes) [8], [31], [32], Figure 1(a) presents optimal budget allotted for phase 1 as a function of w0 jj (assuming equal w0;8j 2N) with k g k b =100 (U= 1 and v (0) i = 0;8i 2N). 图2 4个真实数据集上算法的影响范围 Fig. Debunking the Myths of Influence Maximization Akhil Arora1, Sainyam Galhotra1, Sayan Ranu [email protected] 5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations. Demaine MohammadTaghi Hamid Mahini +. If we do not require a very tight approximation ratio, we could choose a larger …. To certify the efficiency and stability of the discovered communities, we test SCD on both synthesized datasets and real-world social traces, including the NetHEPT collaboration, Foursquare, Twitter and Facebook social. In accordance with expectation, the BUTA-series algo- rithms, IMGPU, IMGPU O and BUTA CPU, perform well and their accuracies match that of MixGreedy, producing the best results at all values of K. A seed-set size of K=100 is set for the PGP, NetHEPT, and WikiVote datasets. It provides detailed information about datasets ranging from censuses and surveys to health records and vital statistics, globally. , 2009, Chen et al. The project performed a comparative study between Statistical, Neural and Symbolic learning algorithms. Influence Maximization in Bandit and Adaptive Settings by Sharan Vaswani B. Here's an example of the abstractions associated with a particular technology. Simulation data. We illustrate three scenarios in which ActivityNet can be used to compare algorithms for human activity understanding: global video classification,trimmed activity classification and activity detection. To verify our suggested solutions, we conduct experiments on real world traces including NetHEPT, NetHEPT_WC and Facebook networks. You use this object to assign authorizations for accessing operating system files (with the ABAP/4 key word OPEN DATASET, READ DATASET, TRANSFER and DELETE). Comparing far-right and Islamist ideologically motivated homicides in the United States. Net? I am familiar with EJB3 and the "java way" of doing data. 5 M links in the social network. How to Influence People with Partial Incentives Erik D. A DataTable is defined in the System. fluential nodes on the final NetHEPT dataset, while the time is even. Mourning Dove Call-count Survey Metadata Updated: May 1, 2019 The Mourning Dove (Zenaida macroura) Call-Count Survey was developed to provide an index to population size and to detect annual changes in mourning dove breeding populations in the U. zip into C:/IPA Demo/Data (optional to handle dataset from Stanford Large Network Dataset Collection). Time vs seeds for di®erent datasets CELF++ (NetHept) ASIM (NetHept) CELF++ (HepPH) ASIM (HepPH) FUTURE DIRECTIONS Extension to the LT model Prove approximation. Browse the Dataset. galhotra, akhil. EFFECTIVENESS OF DIFFUSING INFORMATION THROUGH A SOCIAL NETWORK IN MULTIPLE PHASES 8 Our general observation is that an optimal budget split is the one which would lead to an almost equal number of nodes getting influenced in expectation, across the given number of phases. There are more than 60 K users connected together by as much as 1. 97% increase. There are 15 233 nodes and 58 891 undirected edges (including duplicated edges) in the NetHEPT dataset. The slope of increasing influence spread is steeper in NetHEPT in comparison to WikiVote dataset, since NetHEPT is a larger network and diffusion of influence in this network takes more time. How to influence people with partial incentives The MIT Faculty has made this article openly available. This approach is also supported by a key connection between the persistence probability of a community and its local topology. Emotion labels obtained using an automatic classifier can be found for the faces in VoxCeleb1 here as part of the 'EmoVoxCeleb' dataset. dataset-designer (1). Its data source is an Azure SQL DB. It is created by use of "High Energy Physics (Theory)" part of arXiv3 which is the collaboration network of paper authors. State Committee of the Republic of Uzbekistan on Geology and Mineral Resources. Lakshmanan Dept. Figure 14: Running time of different algorithms in 3 datasets Figure 12: Influence spread for different algorithms in the TRIVANLENCY model with three probabilities 0. Figure 2 shows that the opinion-spread obtained by the seeds selected using the OI model is much better when compared to that using the IC model, and thus, estab-lishes the importance of OI over the IC/LT models of information-diffusion with better conformance to the real-world scenarios. Project StatLog (Esprit Project 5170) was concerned with comparative studies of different machine learning, neural and statistical classification algorithms. プロシージャ、関数、およびその他のプログラムへの入出力パラメータとして使用できます。 1つまたは複数の一時テーブルがDATASET (ProDatasetとも呼ばれます). 基金项目 国家自然科学基金资助项目(61472340);河北省科技计划项目(15210913) 通信作者 刘院英(1977-),女,河北石家庄人,讲师,博士研究生,ccf会员,主要研究方向:在线社会网络. If a paper i cites paper j, the graph contains a directed edge from i to j. data pipelines and can be used as input to tf. For questions regarding this data set, please contact Khurram Soomro (khurram [at] Khurram Soomro, Amir Roshan Zamir and Mubarak Shah, UCF101: A Dataset of 101 Human Action Classes. Empirical results indicate that our methods are among the best ones for hinting out those important nodes in comparison with other available methods. Ding-Zhu Du │ University of Texas at Dallas │ Lecture 3 Influence and Profit 1. Finally, we add the key field "version" to keep track over different releases of ActivityNet. Figure 8: maximal influence spread by 50 seeds w. If a paper cites, or is cited by, a paper outside the. How to influence people with partial incentives The MIT Faculty has made this article openly available. 65x speedup on average. com •76K nodes, 509K edges 104 times >103 times speed up speed up Running time is for selecting 50 seeds. This dataset is licensed under a Creative Commons Attribution 4. Secondly, there's the question of signal strength. Datasets | Kaggle. Parameter sharing and tying. NET DataSet contains a collection of zero or more tables represented by DataTable objects. 04, not easily speed up Greedy by reducing the number of sim- 0. In this section, we attempt to provide a comprehensible overview of related work on a selection of top-K influential users, by providing a literature review that tackled the select of seed set based on multi-hops distance and then we exposed works that addressed the problem of influence maximization from neighborhood perspective and other centrality measures. fluential nodes on the final NetHEPT dataset, while the time is even.