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Extracting Actionable Knowledge from Social Networks using Structural Features

Nasrin Kalanat, Eynollah Khanjari, Alireza Khanshan
2020 IEEE Access  
Actionable knowledge discovery is a field of study specifically developed for this matter. Existing methods rarely tackled the problem of extracting actionable knowledge from social networks.  ...  INDEX TERMS Social networks mining, action mining, actionable knowledge discovery, structural features, change propagation, change-awareness.  ...  knowledge from social networks.  ... 
doi:10.1109/access.2020.2983146 fatcat:pzmygpvgbrcedi3utq72csb6vm

Employee Attitudes and (Digital) Collaboration Data: A Preliminary Analysis in the HRM Field

Tommaso Fabbri, Federica Mandreoli, Riccardo Martoglia, Anna Chiara Scapolan
2019 2019 28th International Conference on Computer Communication and Networks (ICCCN)  
Finally, we introduce the concept of employee-attitude-oriented pattern as a mean to derive significant views over the overall graph and discuss Social Network Analysis (SNA) approaches that can be exploited  ...  In the exploratory data analysis step, we analyze data in their original table format and elaborate it according to the user who performed the action and the performed action.  ...  Social network analysis seeks to understand networks and their participants and has two main focuses: the actors and the relationships between them in a specific social context.  ... 
doi:10.1109/icccn.2019.8846957 dblp:conf/icccn/FabbriMMS19 fatcat:r4xuhfnkb5f7fatylznutakf6q

Multi-Granularity Reasoning for Social Relation Recognition from Images [article]

Meng Zhang, Xinchen Liu, Wu Liu, Anfu Zhou, Huadong Ma, Tao Mei
2019 arXiv   pre-print
Based on the graphs, social relation reasoning is performed by graph convolutional networks.  ...  The global knowledge and mid-level details are learned from the whole scene and the regions of persons and objects, respectively.  ...  A group of attributes such as gender, age, clothing, and actions are extracted for social relation recognition. 2) Union-CNN [27] .  ... 
arXiv:1901.03067v1 fatcat:4ygrdvigevhd7ot3pumgjomooa

AN OPTIMAL FORECASTING OF LATENT SIMILARITY BASED RELATIONSHIP ON USER ATTRIBUTES USING LINK PREDICTION

P.Sathish Kumar, T. Suvathi
2020 International Journal of Engineering Technologies and Management Research  
., this kind of information, it improves the global knowledge, easily distinct the good and bad things. Now days, Social media is a good platform to share the content collectively with collaboration.  ...  People from anywhere to access all the data with anyone. It is easy way to equip people in all kind of innovative ideas as soon as possible.  ...  The features of every node can be derived from social network that contains a textual information, mutual interest and domain knowledge.  ... 
doi:10.29121/ijetmr.v4.i11.2017.122 fatcat:km344gyzcrcklpjq27kxdza7sq

D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

Hamid Tabatabaee
2017 International Journal of Advanced Computer Science and Applications  
Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them.  ...  One of the new approaches to describe knowledge of the social network is through a concise structure called conceptual view.  ...  RELATED WORK Popular approaches of mining social networks have been proposed to extract different forms of knowledge from these networks.  ... 
doi:10.14569/ijacsa.2017.081240 fatcat:34uhjl2h3zaidmmnlsuq5lu2ma

Conceptual analysis for timely social media-informed personalized recommendations

A. C. M. Fong
2015 2015 IEEE International Conference on Consumer Electronics (ICCE)  
Knowledge discovered from such data can be used to provide mobile users with location-based, personalized and timely recommendations.  ...  Integrating sensor networks and human social networks can provide rich data for many consumer applications.  ...  Fig. 1 . 1 Ad-hoc socio-sensor network made up of heterogeneous nodes. Volumes and usefulness of data generated by these nodes vary with time and location.  ... 
doi:10.1109/icce.2015.7066358 dblp:conf/iccel/Fong15 fatcat:fdt6h2boynezng34paccwslqhq

Information sharing and privacy protection of terrorist or criminal social networks

Christopher C. Yang
2008 2008 IEEE International Conference on Intelligence and Security Informatics  
However, individual agency usually has part of the complete terrorist or criminal social network and therefore some crucial knowledge is not able to be extracted.  ...  There is not any work on sharing social networks from different sources and yet try to minimize the reduction on the degree of privacy.  ...  However, some important patterns or knowledge cannot be extracted if one is given only a partial terrorist or criminal social network.  ... 
doi:10.1109/isi.2008.4565027 dblp:conf/isi/Yang08 fatcat:xrfy5glkrrdmfojuamredkzt7e

Offering a New Approach for Extracting Recurring Conceptual Links from Social Networks

Hamid Tabatabaee
2018 International Robotics & Automation Journal  
Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them.  ...  Conceptual perspective provides a summary of existing knowledge on a social network.  ...  More formally: (6) Previous Work Popular approaches of exploring social networking have been proposed to extract different forms of knowledge from these networks.  ... 
doi:10.15406/iratj.2018.04.00084 fatcat:zprnzxchsbbmxpuxaepzmgawrm

Offering a New Approach for Extracting Recurring Conceptual Links from Social Networks

Hamid Tabatabaee
2018 International Robotics & Automation Journal  
Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them.  ...  Conceptual perspective provides a summary of existing knowledge on a social network.  ...  More formally: (6) Previous Work Popular approaches of exploring social networking have been proposed to extract different forms of knowledge from these networks.  ... 
doi:10.15406/iratj.2017.04.00084 fatcat:zb4rgdububcwflnvnoipq5ilgq

Models and algorithms for social influence analysis

Jimeng Sun, Jie Tang
2013 Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13  
higher traffic than Twitter and Google 3 A Trillion Dollar Opportunity Social networks already become a bridge to connect our daily physical life and the virtual web space On2Off [1] [1] Online to Offline  ...  Google • Flickr has more than 5 billion images • Twitter has over 25 billion tweets per quarter • Tencent has over 700 million users • Weibo has 2012, 300 million users, 300% yearly increase • Pinterest, with  ...  u -Sample from history of any user -Perform a new action • Options for generating next interaction for user u -Sample from users with similar history of actions -Sample a random user to interact with  ... 
doi:10.1145/2433396.2433497 dblp:conf/wsdm/SunT13 fatcat:v47krzkz6bcp5eelw4thbnlz3u

A Review Paper on Big Data and Data Mining Concepts and Techniques

Prasdika Prasdika, Bambang Sugiantoro
2018 IJID (International Journal on Informatics for Development)  
Data mining is a method of extracting information through from big data to produce an information pattern or data anomaly  ...  In the digital era like today the growth of data in the database is very rapid, all things related to technology have a large contribution to data growth as well as social media, financial technology and  ...  Data mining is used to analyze and explore large amounts of data to find a valuable result from the extraction. there is a lot of information that can be extracted from a collection of databases that can  ... 
doi:10.14421/ijid.2018.07107 fatcat:raumlnsblbbfladnwp7rnovtne

Hotels vs. Peer-to-Peer Accommodation Rentals: Text Analytics of Consumer Reviews in Portland, Oregon

Iis P Tussyadiah, Florian J Zach
2015 Social Science Research Network  
The results from text analytics using terminology extraction and word co-occurrence networks indicate that even though guests expect similar core services such as clean rooms and comfortable beds, different  ...  This study explores the competitive edge of P2P accommodation in comparison to hotels by extracting key content and themes from online reviews to explain the key service attributes sought by guests.  ...  The challenge in gaining actionable insights from UGC is to extract valuable nuggets of information and patterns from relatively large, highly unstructured (often messy) text data, written in natural language  ... 
doi:10.2139/ssrn.2594985 fatcat:jdiayagz5jhq7irqgorzjb2tcu

Visualizations of Online Course Interactions for Social Network Learning Analytics

Ángel Hernández-García, Inés González-González, Ana Isabel Jiménez-Zarco, Julián Chaparro-Peláez
2016 International Journal of Emerging Technologies in Learning (iJET)  
The empirical case study uses data from one cross-curricular course with 656 students at the Open University of Catalonia (UOC) and showcases the use of Gephi as a social network learning analytics tool  ...  Social network learning analytics aims to extract useful information to improve the learning process, but the variety of learning management systems makes this task burdensome and difficult to manage.  ...  Gephi in action In order to show the full capabilities of Gephi for social network learning analytics, and following [22] , three different datasets were generated from the original data extracted from  ... 
doi:10.3991/ijet.v11i07.5889 fatcat:yl3msgx2qjbp5egyxklbl7xx6a

Bridges the crowd: rim chain framework

Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li, Guangpeng Zhou
2019 International Journal of Crowd Science  
In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework. Originality/value -Knowledge graph is used to implement the rim chain.  ...  The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic.  ...  From the six degree of separation, the influence from people's action is no longer meaningful at a social horizon of six degrees.  ... 
doi:10.1108/ijcs-01-2019-0003 fatcat:kg7y3dpuwvexbmzh5facndwmny

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China

Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang, Wei Zhang
2021 Complexity  
Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action.  ...  Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed.  ...  Conclusions From different perspectives and concerns, more knowledge can be acquired from the ER network.  ... 
doi:10.1155/2021/6699204 fatcat:pu4cev6vhvhftcxso5m7hsbk44
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