default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSocial Network Analysis and Mining, Volume 9
Volume 9, Number 1, December 2019
- Mohammed Bekkali
, Abdelmonaime Lachkar:
An effective short text conceptualization based on new short text similarity. 1:1-1:11 - Yayati Gupta, S. R. S. Iyengar, Akrati Saxena, Debarati Das:
Modeling memetics using edge diversity. 2:1-2:17 - Akrati Saxena, Ralucca Gera, S. R. S. Iyengar:
A heuristic approach to estimate nodes' closeness rank using the properties of real world networks. 3:1-3:16 - Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio:
ParSoDA: high-level parallel programming for social data mining. 4:1-4:19 - Jyoti Sunil More, Chelpa Lingam:
A gradient-based methodology for optimizing time for influence diffusion in social networks. 5:1-5:10 - George A. Barnett, Carlos Algara:
Diachronic equivalence: an examination of the international news network. 6:1-6:11 - Ashkan Ebadi, Patrick James Tighe, Lei Zhang, Parisa Rashidi:
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? 7:1-7:20 - Tjeerd Zandberg, Mark Huisman:
Missing behavior data in longitudinal network studies: the impact of treatment methods on estimated effect parameters in stochastic actor oriented models. 8:1-8:20 - Mehjabin Khatoon, W. Aisha Banu:
An efficient method to detect communities in social networks using DBSCAN algorithm. 9:1-9:12 - Francesca Spezzano, Kelsey Suyehira, Laxmi Amulya Gundala:
Detecting pages to protect in Wikipedia across multiple languages. 10:1-10:16 - Arif Mohaimin Sadri, Samiul Hasan, Satish V. Ukkusuri:
Joint inference of user community and interest patterns in social interaction networks. 11:1-11:23 - Monika Arora, Vineet Kansal:
Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis. 12:1-12:14 - Keshab Nath, Swarup Roy:
Detecting intrinsic communities in evolving networks. 13:1-13:15 - Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Using network motifs to characterize temporal network evolution leading to diffusion inhibition. 14:1-14:24 - Ruggero G. Pensa, Gianpiero di Blasi, Livio Bioglio:
Network-aware privacy risk estimation in online social networks. 15:1-15:15 - Mohan Timilsina, Mathieu d'Aquin, Haixuan Yang:
Heat diffusion approach for scientific impact analysis in social media. 16:1-16:13 - Laxmi Amulya Gundala, Francesca Spezzano:
Estimating node indirect interaction duration to enhance link prediction. 17:1-17:13 - Shreekanth M. Prabhu, Balasubramanya Murthy Kannanedhi Narasimha Sastry, Natarajan Subramanyam:
Validating Tantra Framework using entropy. 18:1-18:18 - Anas Aloudat, Ons Al-Shamaileh, Katina Michael:
Why some people do not use Facebook? 19:1-19:14 - T. M. G. Tennakoon, Richi Nayak:
FCMiner: mining functional communities in social networks. 20:1-20:19 - Ali Vardasbi, Heshaam Faili, Masoud Asadpour:
Solving submodular text processing problems using influence graphs. 21:1-21:15 - Soheil Jamshidi, Reza Rejaie, Jun Li:
Characterizing the dynamics and evolution of incentivized online reviews on Amazon. 22:1-22:15 - Mehdi Azaouzi, Delel Rhouma, Lotfi Ben Romdhane:
Community detection in large-scale social networks: state-of-the-art and future directions. 23:1-23:32 - Biraj Dahal, Sathish A. P. Kumar, Zhenlong Li:
Topic modeling and sentiment analysis of global climate change tweets. 24:1-24:20 - Aqsa Mehreen, Yang Hui, Ali Zulqurnain:
A social network theory perspective on how social ties influence perceived employability and job insecurity: evidence from school teachers. 25:1-25:17 - Allan Fong, Tomilayo Komolafe, Ella S. Franklin, Sarah Henrickson Parker:
Using medication administration and double-check data to infer social network influence in intensive care units. 26:1-26:8 - Tao Ding, Warren K. Bickel, Shimei Pan:
Predicting delay discounting from heterogeneous social media data. 27:1-27:15 - Dharavath Ramesh, Navaljeet Singh Arora:
Spark's GraphX-based link prediction for social communication using triangle counting. 28:1-28:12 - Jürgen Lerner, Alessandro Lomi:
Team diversity, polarization, and productivity in online peer production. 29:1-29:17 - Hugo Hromic, Conor Hayes:
Characterising and evaluating dynamic online communities from live microblogging user interactions. 30:1-30:18 - Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA influence campaign. 31:1-31:11 - Steven E. Massey:
Form and relationship of the social networks of the New Testament. 32:1-32:13 - Ali Hashemi, Mohammad Ali Zare Chahooki:
Telegram group quality measurement by user behavior analysis. 33:1-33:12 - Raazesh Sainudiin, Kumar Yogeeswaran, Kyle Nash, Rania Sahioun:
Characterizing the Twitter network of prominent politicians and SPLC-defined hate groups in the 2016 US presidential election. 34:1-34:15 - Oguzhan Çitlak, Murat Dörterler, Ibrahim Alper Dogru:
A survey on detecting spam accounts on Twitter network. 35:1-35:13 - Derek Doran, Luisa Massari, Maria Carla Calzarossa, Yu Li, Daniele Tessera, Junjie Zhang:
User interactions and behaviors in a large-scale online emotional support service. 36:1-36:22 - Liqiang Wang, Yafang Wang, Gerard de Melo, Gerhard Weikum:
Understanding archetypes of fake news via fine-grained classification. 37:1-37:17 - Ajitesh Srivastava, Robin Petering, Nicholas Barr, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna:
Network-based intervention strategies to reduce violence among homeless. 38:1-38:12 - Panagiotis Symeonidis, Stergios Chairistanidis:
OmniRank: learning to recommend based on omni-traversal of heterogeneous graphs. 39:1-39:13 - Bhawna Saxena, Padam Kumar:
A node activity and connectivity-based model for influence maximization in social networks. 40:1-40:16 - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Investigating the effect of combining GRU neural networks with handcrafted features for religious hatred detection on Arabic Twitter space. 41:1-41:19 - Madichetty Sreenivasulu, M. Sridevi:
Disaster damage assessment from the tweets using the combination of statistical features and informative words. 42:1-42:11 - Imane Khaouja, Ghita Mezzour, Kathleen M. Carley, Ismail Kassou:
Building a soft skill taxonomy from job openings. 43:1-43:19 - Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran:
Localizing and quantifying infrastructure damage using class activation mapping approaches. 44:1-44:15 - Zakariya Ghalmane, Mohammed El Hassouni, Hocine Cherifi:
Immunization of networks with non-overlapping community structure. 45:1-45:22 - Matteo Francia, Enrico Gallinucci, Matteo Golfarelli:
Social BI to understand the debate on vaccines on the Web and social media: unraveling the anti-, free, and pro-vax communities in Italy. 46:1-46:16 - Mohammad Hajarian, Azam Bastanfard, Javad Mohammadzadeh, Madjid Khalilian:
A personalized gamification method for increasing user engagement in social networks. 47:1-47:14 - Bahareh Ashenagar, Ali Hamzeh:
Forming a well-connected team of experts based on a social network graph: a novel weighting approach. 48:1-48:20 - Didier Grimaldi:
Can we analyse political discourse using Twitter? Evidence from Spanish 2019 presidential election. 49:1-49:9 - Ammara Habib, Muhammad Zubair Asghar, Adil Khan, Anam Habib, Aurangzeb Khan:
False information detection in online content and its role in decision making: a systematic literature review. 50:1-50:20 - Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. 51:1-51:13 - Ammar Mohammed, Rania Kora:
Deep learning approaches for Arabic sentiment analysis. 52:1-52:12 - Hugo Hromic, Conor Hayes:
Correction to: Characterising and evaluating dynamic online communities from live microblogging user interactions. 53:1 - Jenny Jin, Guigang Zhang, Phillip C.-Y. Sheu, Masahiro Hayakawa, Atsushi Kitazawa:
Influence maximization in graph-based OLAP (GOLAP). 54:1-54:26 - Abdelmalek Habi, Brice Effantin, Hamamache Kheddouci:
Diversified top-k search with relaxed graph simulation. 55:1-55:15 - Imane Guellil, Faiçal Azouaou, Marcelo Mendoza:
Arabic sentiment analysis: studies, resources, and tools. 56:1-56:17 - Soumajyoti Sarkar, Mohammad Almukaynizi, Jana Shakarian, Paulo Shakarian:
Mining user interaction patterns in the darkweb to predict enterprise cyber incidents. 57:1-57:28 - Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. 58:1-58:17 - Taleb Khafaei, Alireza Tavakoli Targhi, Mehdi Hosseinzadeh, Ali Rezaee:
Tracing temporal communities and event prediction in dynamic social networks. 59:1-59:11 - Zachary K. Stine, Nitin Agarwal:
Characterizing the language-production dynamics of social media users. 60:1-60:13 - Karsten Ladner, Ruchishya Ramineni, K. M. George:
Activeness of Syrian refugee crisis: an analysis of tweets. 61:1-61:16 - Mikel Joaristi, Edoardo Serra, Francesca Spezzano:
Detecting suspicious entities in Offshore Leaks networks. 62:1-62:15 - Gabriel Barina, Mihai Udrescu, Alexandra Barina, Alexandru Topirceanu, Mircea Vladutiu:
Agent-based simulations of payoff distribution in economic networks. 63:1-63:18 - Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos:
Handling uncertainty in social media textual information for improving venue recommendation formulation quality in social networks. 64:1-64:19 - Roberto Interdonato, Jean-Loup Guillaume, Antoine Doucet:
A lightweight and multilingual framework for crisis information extraction from Twitter data. 65:1-65:20 - Yunlei Zhang, Dingyi Yin, Bin Wu, Feiyu Long, Yinchang Cui, Xun Bian:
PLinkSHRINK: a parallel overlapping community detection algorithm with Link-Graph for large networks. 66:1-66:17
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-30 20:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
