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Extracting influential nodes on a social network for information diffusion

Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
<span title="2009-10-08">2009</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ja54f4dcmzfz7cvlo7o757jdba" style="color: black;">Data mining and knowledge discovery</a> </i> &nbsp;
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models.  ...  We propose a method of efficiently finding a good approximate solution to the problem under the greedy algorithm on the basis of bond percolation and graph theory, and compare the proposed method with  ...  for information diffusion on a given real-world network of a finite size.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-009-0150-5">doi:10.1007/s10618-009-0150-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rx6gsdst2nclnd2n2npyeehxem">fatcat:rx6gsdst2nclnd2n2npyeehxem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120425031942/http://www.ar.sanken.osaka-u.ac.jp:80/~motoda/papers/imp7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4c/a4/4ca49e852bc21cf2bb8b59d5b000cb292d4719de.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-009-0150-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Social Content Recommendation Based on Spatial-Temporal Aware Diffusion Modeling in Social Networks

Farman Ullah, Sungchang Lee
<span title="2016-09-01">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
In this paper, we propose a social content recommendation method based on spatial-temporal aware controlled information diffusion modeling in OSNs.  ...  These nodes are able to improve social content recommendations, minimize information diffusion time, and maximize information spread.  ...  SocNodeRank extracts some important potential nodes that can maximize the information diffusion.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym8090089">doi:10.3390/sym8090089</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/na4usk4ptffjrh2moctupveuaa">fatcat:na4usk4ptffjrh2moctupveuaa</a> </span>
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Diffusion Models for Social Analysis, Influence and Learning

N. Badr, Hatem Abdel-Kader, Asmaa Ali
<span title="2021-12-01">2021</span> <i title="Egypts Presidential Specialized Council for Education and Scientific Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p2xb6cqe3vgdvoxuie26a77bmy" style="color: black;">IJCI. International Journal of Computers and Information</a> </i> &nbsp;
The aim is to study diffusion models in social networks to effectively understand how innovation and information spread over individuals and predict future trends.  ...  This diffusion process leads to numerous latent information that can be extracted, analyzed, and used in different applications, including market forecasting, rumor control, disease modeling, and opinion  ...  As a result, a conceptual framework for the diffusion of influenza disease, information diffusion, and avoidance of harmful behavior in the social network was built.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/ijci.2021.207863">doi:10.21608/ijci.2021.207863</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dirbefiernffdm2nxxrvw4fiaq">fatcat:dirbefiernffdm2nxxrvw4fiaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220130021723/https://ijci.journals.ekb.eg/article_207863_519499d4c06fb789dbd905f04f728e0b.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/1a/d11a78b2871eef20e4fa3bb7c5613efbaff3daea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21608/ijci.2021.207863"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

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

Smita Bhosale, Dhanshree Kulkarni
<span title="2015-07-18">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
It has two components: dividing the mobile social network into several communities by taking into account information diffusion and selecting communities to find influential nodes by a dynamic programming  ...  A mobile social network plays an important role as the spread of information and influence in the form of "word-of-mouth".  ...  For example, in a social network, one can use the predefined categories as the topic information, or use user-assigned tags as the topic information.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/21810-5133">doi:10.5120/21810-5133</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/diznpswoqvcf3eshcwypfmtlfy">fatcat:diznpswoqvcf3eshcwypfmtlfy</a> </span>
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Finding Influential Nodes in a Social Network from Information Diffusion Data [chapter]

Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
<span title="">2009</span> <i title="Springer US"> Social Computing and Behavioral Modeling </i> &nbsp;
A widely-used fundamental probabilistic model of information diffusion through a social network is the independent cascade (IC) model. Note: The IC model can also be identified with the SIR model.  ...  Using the IC model,  the problem of finding a limited number of nodes that are effective for the spread of information has been extensively investigated (Kempe et al, 2003; Kimura et al ,2007),  and  ...  Research Aim Propose a method for extracting influential nodes by ranking nodes in terms of influence degrees for the IC model based on the observed information diffusion data in the network.  Finding  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4419-0056-2_18">doi:10.1007/978-1-4419-0056-2_18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s2ofxakwqnhuxeb23vmzcxyifi">fatcat:s2ofxakwqnhuxeb23vmzcxyifi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110523132057/http://pre4306.u-shizuoka-ken.ac.jp:80/hp/kokusai/2009pp138_145.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/59/5259bdbad557d6fa983b152b128f17fc2e206689.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4419-0056-2_18"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Identifying the influential spreaders in multilayer interactions of online social networks

Mohammed Ali Al-Garadi, Kasturi Dewi Varathan, Sri Devi Ravana, Ejaz Ahmed, Victor Chang, Zhihan Lv
<span title="2016-10-13">2016</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5232pusig5eapbukawp5py2bk4" style="color: black;">Journal of Intelligent &amp; Fuzzy Systems</a> </i> &nbsp;
Identifying the most influential spreaders in a network is a significant step towards improving the use of existing resources to speed up the spread of information for application such as viral marketing  ...  Online social networks (OSNs) portray a multi-layer of interactions through which users become a friend, information is propagated, ideas are shared, and interaction is constructed within an OSN.  ...  Acknowledgements We would like to take this opportunity to thank University of Malaya Research Grant (RP028D-14AET) for funding this research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jifs-169112">doi:10.3233/jifs-169112</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gombogsyqjhgtbjx5reiujuxm4">fatcat:gombogsyqjhgtbjx5reiujuxm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922115655/https://eprints.soton.ac.uk/395586/1/JIFS_social_networks_accepted.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/39/ca393dd83b6cf86f3b9858c7feece619b1f6ae81.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jifs-169112"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning

Sonia, Kapil Sharma, Monika Bajaj
<span title="">2023</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a6m5ovtnq5h6bb2dcb357moo4a" style="color: black;">Intelligent Automation and Soft Computing</a> </i> &nbsp;
In a social network, the most influential user is the most trusted user. These significant users are used for viral marketing as the seeds to influence other users in the network.  ...  Social networking sites have given a new dimension to online data.  ...  Acknowledgement: We thank those who have contributed to the article, especially our family and friends for their patience and support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/iasc.2023.026134">doi:10.32604/iasc.2023.026134</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5f4zry4jtzb6daymhrlvmqxasu">fatcat:5f4zry4jtzb6daymhrlvmqxasu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220611082137/https://www.techscience.com/iasc/v35n1/48131/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/84/26/8426f9ca8a25e11b2a8d374898c1a3bcf41cea1f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/iasc.2023.026134"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Predicting Information Diffusion Patterns in Twitter [chapter]

Eleanna Kafeza, Andreas Kanavos, Christos Makris, Pantelis Vikatos
<span title="">2014</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kss7mrolvja63k4rmix3iynkzi" style="color: black;">IFIP Advances in Information and Communication Technology</a> </i> &nbsp;
A central question when developing such strategies is how information is diffused within the social network.  ...  The authors find that for the social networking site data, approximately one-fifth of a user's friends actually influence their activity level on the site.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-44654-6_8">doi:10.1007/978-3-662-44654-6_8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nifqwyxquvc3herybhbjv5pdsq">fatcat:nifqwyxquvc3herybhbjv5pdsq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719030137/https://hal.inria.fr/hal-01391295/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/a2/54a20ae8806b498a618b1040590aa085064a9f2d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-44654-6_8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Data-Based Approach to Discovering Multi-Topic Influential Leaders

Xing Tang, Qiguang Miao, Shangshang Yu, Yining Quan, Wen-Bo Du
<span title="2016-07-14">2016</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
In reality, a variety of topics exist within the information diffusing through the network.  ...  In this paper, we propose a multi-topic influence diffusion model (MTID) based on traces acquired from historic information.  ...  But topology is not the only means of information diffusion in social networks as it is in web networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0158855">doi:10.1371/journal.pone.0158855</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27415429">pmid:27415429</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4945019/">pmcid:PMC4945019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ztntrjjxpvfsdjal77ryyeop3e">fatcat:ztntrjjxpvfsdjal77ryyeop3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171011221519/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158855&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/69/806911f0257e81f953161945efa11bbd7f47dcd8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0158855"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4945019" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Tractable Models for Information Diffusion in Social Networks [chapter]

Masahiro Kimura, Kazumi Saito
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
When we consider the problem of finding influential nodes for information diffusion in a large-scale social network based on the Independent Cascade Model (ICM), we need to compute the expected number  ...  Using real large-scale social networks, we experimentally demonstrate that for extracting influential nodes, the proposed models can provide novel ranking methods that are different from the ICM, typical  ...  We believe that this property is important for a practical ranking method based on information diffusion in a social network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11871637_27">doi:10.1007/11871637_27</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3dkiwn46zjfgjcdyccstnhoaiy">fatcat:3dkiwn46zjfgjcdyccstnhoaiy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504190049/https://link.springer.com/content/pdf/10.1007%2F11871637_27.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/0a/460a9dbc3bc1434d1999362427f70e96be741b08.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11871637_27"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Extracting social events for learning better information diffusion models

Shuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;13</a> </i> &nbsp;
Learning of the information diffusion model is a fundamental problem in the study of information diffusion in social networks.  ...  In this paper, we extract social events from data streams in social networks, and then use the extracted social events to improve the learning of information diffusion models.  ...  These three sets of diffusion probabilities can then be used for deciding most influential nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2487575.2487584">doi:10.1145/2487575.2487584</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/LinWHY13.html">dblp:conf/kdd/LinWHY13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gszdcrdo6fgrreco6gtdwgd6ca">fatcat:gszdcrdo6fgrreco6gtdwgd6ca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705090513/https://www.cs.uic.edu/%7Eslin/assets/Lin_KDD2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/de/80deaccf5483db757eda97db6ce206a95915f8ba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2487575.2487584"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Identifying Topic-sensitive Influential Spreaders in Social Networks

Donghao Zhou, Wenbao Han, Yongjun Wang
<span title="2015-02-28">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rebsgv7gbjechhypg6np633rcu" style="color: black;">International Journal of Hybrid Information Technology</a> </i> &nbsp;
., the trace of information spreading across a network, to identify topic-sensitive influential nodes in social networks.  ...  Identifying influential spreaders is an important issue in understanding the dynamics of information diffusion in social networks.  ...  Accounting for users' different preferences on topics, Zhou et al., [20] proposed a new GAUP algorithm to mine top-k influential nodes in social networks based on user preferences.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijhit.2015.8.2.38">doi:10.14257/ijhit.2015.8.2.38</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/splmymtka5d2tf6dwbo53yl7pa">fatcat:splmymtka5d2tf6dwbo53yl7pa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602072501/http://www.sersc.org/journals/IJHIT/vol8_no2_2015/38.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/5f/3f5f27d2dd3a76a9f3dd2f34624cad68348cd6d7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijhit.2015.8.2.38"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Discovering influential nodes from trust network

Sabbir Ahmed, C. I. Ezeife
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uo6yx5jpgnf2zl7mkrumytd4ti" style="color: black;">Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC &#39;13</a> </i> &nbsp;
Influence maximization (IM) task is used to discover such influential nodes (or customers) from a social network.  ...  Then, a local search based algorithm called mineSeedLS for node add, exchange and delete operations, is proposed to discover influential nodes from trust networks.  ...  CONCLUSIONS Analyzing information diffusion and social influence in social networks has various real-world applications.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2480362.2480389">doi:10.1145/2480362.2480389</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sac/AhmedE13.html">dblp:conf/sac/AhmedE13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3r7r7u3kkfgsxpzl4xrgkmhgve">fatcat:3r7r7u3kkfgsxpzl4xrgkmhgve</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811123333/http://cezeife.myweb.cs.uwindsor.ca/acmsac13pp121to128.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/61/fe61b2b94b68dcf51eaa226cc73c2e9ea88191aa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2480362.2480389"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Social Trust: Evaluating Node Influential Capability in Social Networks [chapter]

Yap Hock Yeow, Lim Tong‐Ming
<span title="2017-07-19">2017</span> <i title="InTech"> Recent Progress in Parallel and Distributed Computing </i> &nbsp;
It is hypothesized that social trust plays an important role in influential propagation, and it is able to increase the rate of success in influencing other social nodes in a social network.  ...  Social networking sites are platforms that facilitate large-scale information sharing activities in recent years.  ...  Trust presented various concerns especially for business operators where information spreading on the social networking sites may alter reputational impacts toward a business.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/67021">doi:10.5772/67021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a7jb5brlrjdh3bb4da4jifkiji">fatcat:a7jb5brlrjdh3bb4da4jifkiji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427011009/https://cdn.intechopen.com/pdfs/53745.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/bb/fbbb43583a3b45d8059e082739278ce6f0a370ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/67021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Greedy Algorithm Approach for Mobile Social Network

Smita Bhosale, Dhanshree Kulkarni
<span title="2015-02-18">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
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.  ...  A divide-and-conquer method with parallel computing mechanism has been used. Communitybased Greedy rule for mining top-K influential nodes is used first.  ...  A GREEGY ALGORITHM APPROACH Given a mobile social network G = (V, E, W), we aim to mine a set of top-K Influential nodes I on the network such that R (I) is maximized using the extended Independent Cascade  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/19619-1139">doi:10.5120/19619-1139</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x2k6lmvprbhgrew455va5fi25q">fatcat:x2k6lmvprbhgrew455va5fi25q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812141149/http://research.ijcaonline.org/volume111/number16/pxc3901139.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c3/f4/c3f4127e184ba8b749426be3bd45d5a808055759.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/19619-1139"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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