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Learning Influence Propagation of Personal Blogs with Content and Network Analyses

Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zps3sar53fenvet3os232f4eja" style="color: black;">2010 IEEE Second International Conference on Social Computing</a> </i> &nbsp;
We expect that this research result will contribute to understanding the problem of influence propagation through the blogosphere, and to developing applications for recommending influential blogs to social  ...  Then, we present the results of our experiments to predict the level of influence propagation of a blog by applying machine learning algorithms to its contents and network positions.  ...  To perform this blog influence level analysis with machine learning, four components must be integrated: 1) definition of influence metric, 2) content analysis for machine learning features, 3) network  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/socialcom.2010.103">doi:10.1109/socialcom.2010.103</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/socialcom/MoonKJO10.html">dblp:conf/socialcom/MoonKJO10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2wp27hglabbh7hcvdzeasovtwe">fatcat:2wp27hglabbh7hcvdzeasovtwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808100818/http://uilab.kaist.ac.kr/research/SocialCom10/Learning%20Influence%20Propagation%20of%20Personal-2010-Moon.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/57/5a/575a594fa6dc9f1d6582b8488ef7146f1416045a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/socialcom.2010.103"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Identifying Influential Users on Instagram Through Visual Content Analysis

Wafaa Alwan, Ehsan Fazl-Ersi, Abedin Vahedian
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
From this comparison we can conclude that the analysis of users' visual content is better than the analysis of hashtags and caption of the users' posts for identification of influential users in social  ...  The best accuracies obtained from the Influential Posts' Ratio method on DB_2 and DB_3 are 95.36% and 88.08% for influential users respectively, while the best accuracy from textual content analysis is  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3020560">doi:10.1109/access.2020.3020560</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/molb7njgtbbjphdzthfvlipmni">fatcat:molb7njgtbbjphdzthfvlipmni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108144958/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09186590.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/34/97/349788238d4d4d8201a9cd3245b10568a67643a8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3020560"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Predicating Influential Microblog in Micro-blogging Services

Yi GAO, Ting WANG, Sha-sha LI, Cheng-sen RU, Jin-tao TANG
<span title="2017-07-31">2017</span> <i title="DEStech Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/52spf3of4jbu5da2xrhvubclcy" style="color: black;">DEStech Transactions on Computer Science and Engineering</a> </i> &nbsp;
However, many previous social network analysis schemes rely mainly on link structures between users to find influencers in micro-blogging services, ignoring the important text content created by the users  ...  features of the text content and the links of the Sina Weibo users to predicate the influential microblog.  ...  They also point that when it comes to analysis the intensive social influence of tweets we should think about the how tweets can be influential by virtue of their content; the content includes emotion,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cst2017/12536">doi:10.12783/dtcse/cst2017/12536</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fmpbth57djehld7ium6niqif3u">fatcat:fmpbth57djehld7ium6niqif3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720111801/http://dpi-proceedings.com/index.php/dtcse/article/download/12536/12071" 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/0b/18/0b18f7e42883d309f721cca217e98267e976b24f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cst2017/12536"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Approach for Time-aware Domain-based Social Influence Prediction [article]

Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
<span title="2020-01-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Hence, there is a need for well comprehending of social trust to improve and expand the analysis process and inferring the credibility of SBD.  ...  Hence, this paper presents an approach incorporates semantic analysis and machine learning modules to measure and predict users' trustworthiness in numerous domains in different time periods.  ...  Acknowledgements Authors would like to thank all reviewers for their insightful comments, which significantly improved the quality of this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.07838v1">arXiv:2001.07838v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nrlng3rc7fe5bks6hkskoukwbu">fatcat:nrlng3rc7fe5bks6hkskoukwbu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321063030/https://arxiv.org/ftp/arxiv/papers/2001/2001.07838.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.07838v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Time-aware domain-based social influence prediction

Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
<span title="2020-02-10">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pkhnkszyprhb3orbf6g7tqmgiu" style="color: black;">Journal of Big Data</a> </i> &nbsp;
Acknowledgements Authors would like to thank all reviewers for their insightful comments, which significantly improved the quality of this paper.  ...  This section also discusses the machine learning techniques used for social influence prediction.  ...  Analysis of domain-based users' social influence The key challenge for BD analysis is the mining of enormous amounts of data in the quest for added value.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-020-0283-3">doi:10.1186/s40537-020-0283-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2gy4vgrtwrcn7br5c57ybrm2ym">fatcat:2gy4vgrtwrcn7br5c57ybrm2ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211041105/https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-0283-3" 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/8f/6b/8f6b0a8296d7f2bd4b26dfe9a5f0a5d9b48cc64a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-020-0283-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
<span title="2018-10-04">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We end up with the conclusion that both areas can jointly provide useful insights towards the qualitative assessment of viral user-generated content, as well as for modeling the dynamic properties of influential  ...  The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  The authors in [92] propose a content-centered model of flow analysis for investigating the Influence Maximization problem on topic-specific influencers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.09961v3">arXiv:1801.09961v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnwvsphxgjdcvlu6vsn6g6pv5e">fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191027173954/https://arxiv.org/pdf/1801.09961v3.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/63/b1/63b1d66b87b0f541f6901057bb9ef6d94f387b6c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.09961v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

FEATURE BASED ANALYSIS ON THE DUPLICATE FAKE ACCOUNT ON TWITTER USING INTELLIGENT MECHANISM

Dr. Mohammed Ali Alhariri
<span title="2021-03-19">2021</span> <i title="Auricle Technologies, Pvt., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ti2mgqbqpfhhzla5hdk62fee2y" style="color: black;">Information Technology in Industry</a> </i> &nbsp;
The feature based analysis is compared using machine learning techniques, Random Forest, Decision Tree, and SVM.  ...  The better performance observed using feature-based analysis is of SVM.  ...  Twitter API Access Features selected: The features used for the progressive analysis using machine learning techniques, are selected specifically for the duplicate account detection on the twitter.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/itii.v9i1.272">doi:10.17762/itii.v9i1.272</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bnxo3mtodjejdjw2m3myrz3p2m">fatcat:bnxo3mtodjejdjw2m3myrz3p2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210320040957/http://it-in-industry.org/index.php/itii/article/download/272/245" 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/df/c1/dfc1d32801f9492d4c85a3e4851adbb1aae31e21.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/itii.v9i1.272"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Relational Learning with Social Status Analysis

Liang Wu, Xia Hu, Huan Liu
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM &#39;16</a> </i> &nbsp;
Relational learning has been proposed to cope with the interdependency among linked instances in social network analysis, which often adopts network connectivity and social media content for prediction  ...  It extracts robust and intrinsic latent social dimensions for social actors, which are further exploited as features for supervised learning models.  ...  In this paper, We propose a novel RElational learning framework based on Social status Analysis (RESA) to better predict labels of linked nodes through selecting influential agents of higher social status  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2835776.2835782">doi:10.1145/2835776.2835782</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/WuHL16.html">dblp:conf/wsdm/WuHL16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g2jfoyb2wbcj5hhdj43yz3gd4a">fatcat:g2jfoyb2wbcj5hhdj43yz3gd4a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160610121850/http://faculty.cs.tamu.edu/xiahu/papers/WSDM16-Relational.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/aa/57/aa572933f24cb31d47c5573709c56b06ba040988.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2835776.2835782"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Table of contents

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rvn2xzfq2reqrjeaoogq3wwjke" style="color: black;">IEEE Transactions on Computational Social Systems</a> </i> &nbsp;
Jiang Learning Influential Cognitive Links in Social Networks by a New Hybrid Model for Opinion Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Raja Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcss.2021.3109332">doi:10.1109/tcss.2021.3109332</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d44jkbukyvcnrptnucpewgnfxq">fatcat:d44jkbukyvcnrptnucpewgnfxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211001165750/https://ieeexplore.ieee.org/ielx7/6570650/9552980/09553003.pdf?tp=&amp;arnumber=9553003&amp;isnumber=9552980&amp;ref=" 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/94/86/94864bb4f1ddb57043b299d10d3d86930451e9bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcss.2021.3109332"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Dynamic box office forecasting based on microblog data

Runyu Chen, Wei Xu, Xinghan Zhang
<span title="">2016</span> <i title="National Library of Serbia"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5h57vchldreh5kwnkzol2rss4m" style="color: black;">Filomat</a> </i> &nbsp;
For content based features, a duplicate semantic analysis method is proposed.  ...  Some machine learning models are then adopted after using genetic algorithm (GA) for feature selection.  ...  For content based features, we propose a duplicate semantic analysis method for the noisy and short content in microblogs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2298/fil1615111c">doi:10.2298/fil1615111c</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6sp7vgwnmnh4jmokjtb4cloq7i">fatcat:6sp7vgwnmnh4jmokjtb4cloq7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180429143042/http://elib.mi.sanu.ac.rs/files/journals/flmt/89/flmn89p4111-4124.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/b1/8d/b18d80cf970146f806db4dcd4f61445fe2abade0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2298/fil1615111c"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Determining Influential Users with Supervised Random Walks

Georgios Katsimpras, Dimitrios Vogiatzis, Georgios Paliouras
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 24th International Conference on World Wide Web - WWW &#39;15 Companion</a> </i> &nbsp;
The emergence of social media and the enormous growth of social networks have initiated a great amount of research in social influence analysis.  ...  In this regard, many approaches take into account only structural information while a few have also incorporated content.  ...  As for the learning stage, we define a set of influential nodes I={i1, i2, . . . , in} and a set of non-influential nodes N ={n1, n2, . . . , nn}.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2742472">doi:10.1145/2740908.2742472</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/KatsimprasVP15.html">dblp:conf/www/KatsimprasVP15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sz2basfp5jaz5bujgs3dzjogje">fatcat:sz2basfp5jaz5bujgs3dzjogje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160604130006/http://www.www2015.it/documents/proceedings/companion/p787.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/39/fd/39fd8bb184719175cd724e958f8618db6674ce68.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2742472"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Linguistic Markers of Influence in Informal Interactions [article]

Shrimai Prabhumoye and Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Penstein Rose, Alan W Black
<span title="2017-07-14">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
There has been a long standing interest in understanding 'Social Influence' both in Social Sciences and in Computational Linguistics.  ...  Experiments with the identified features show an improvement in the classification accuracy of influence by 3.15%.  ...  These features of the community make the platform suitable for studying social influence in interpersonal interactions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.04546v1">arXiv:1707.04546v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/coif4k6qxbgyznb5ktnc5w74le">fatcat:coif4k6qxbgyznb5ktnc5w74le</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826013930/https://arxiv.org/pdf/1707.04546v1.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/a6/1b/a61ba128ff225925b6608fce73df62ccead9a7c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.04546v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Linguistic Markers of Influence in Informal Interactions

Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Rose, Alan W Black
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7cliihp6gbhvrip6g46xwmx4yi" style="color: black;">Proceedings of the Second Workshop on NLP and Computational Social Science</a> </i> &nbsp;
There has been a long standing interest in understanding 'Social Influence' both in Social Sciences and in Computational Linguistics.  ...  Experiments with the identified features show an improvement in the classification accuracy of influence by 3.15%.  ...  These features of the community make the platform suitable for studying social influence in interpersonal interactions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-2908">doi:10.18653/v1/w17-2908</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl-nlpcss/PrabhumoyeCSBRB17.html">dblp:conf/acl-nlpcss/PrabhumoyeCSBRB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gkugrlq2dvchjibm6iinpoml3i">fatcat:gkugrlq2dvchjibm6iinpoml3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200219222957/https://www.aclweb.org/anthology/W17-2908.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/8f/af/8faf32cf8e73f4db8e725e7796ada6225cda3e74.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-2908"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Big data analysis on online TV - Predict likes in FaceBook

<span title="2018-04-30">2018</span> <i title="BioAxis DNA Research Centre"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/grcyvowbjbbnfdmv2azpa6ltf4" style="color: black;">Helix</a> </i> &nbsp;
Hence, video content is a powerful tool for any brand. The most popular ways to take video online are YouTube channels and Facebook pages.  ...  It is critical for business to track how their videos are performing.  ...  We are planning to extend the analysis with other parameters like the category of the videos and do similar analysis for distribution in social media (like twitter and Instagram) and YouTube.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.29042/2018-3463-3466">doi:10.29042/2018-3463-3466</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4zlo4huas5aihdxzikbvlei7hu">fatcat:4zlo4huas5aihdxzikbvlei7hu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429072001/http://helix.dnares.in/wp-content/uploads/2018/05/3463-3466.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/53/7e/537e7277809a240b100d8c551a491769b3a180a0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.29042/2018-3463-3466"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm [article]

Daifeng Li, Zhipeng Luo, Golden Guo-zheng Sun, Jie Tang, Jingwei Zhang
<span title="2012-10-26">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The main innovation is that we consider both direct and indirect social influence from topic level based on social balance theory.  ...  Other meaningful contextual information is also combined into our model, which include: Users profile, Users influence, Content of weibos, Topic information of weibos and etc.  ...  two users by studying their historical communication records.  For indirect social influence, we learned the influential relationship by applying social balance theory.  We verified our proposed model  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1210.7047v1">arXiv:1210.7047v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3slglltwxffwrkzpnkjgvixtt4">fatcat:3slglltwxffwrkzpnkjgvixtt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830024558/https://arxiv.org/ftp/arxiv/papers/1210/1210.7047.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/e2/80/e280bb5856154a3655e394ecd0c6f761bd0ca46a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1210.7047v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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