Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society最新文献
Top management is important in an organization, but the role of middle managers is also important. In this paper, we focus on identifying the characteristics of a middle manager or "workplace leader." The workplace leader needs to be proficient in the business of their place of work, and needs to maintain good relations between their boss and their subordinates. The workplace leader must learn various skills and be capable of using those skills. However, because business environment changes from one place of work to another, the capabilities required of a workplace leader are also varied, and no single list of required capabilities applies to workplace leaders in all situations. Additionally, it is difficult to agree who is suited to serve as a workplace leader. Because the business environment is rapidly changeable and the various conditions of industry type and occupational description are intricately entangled, the establishment of a general method is difficult. Given these difficulties, in this research we do not aim to specify an image of a universal workplace leader applicable in all organizations. Here we aim to probe the requirements for the capabilities of a workplace leader peculiar to each organization. We further aim to develop a method of prioritizing those capability requirements. We propose a method that applies the "persona technique" and the "orthogonal array" to the extracted work competency and further assigns it a priority. When determining and selecting a workplace leader, without long meaningless discussion, a decision-maker involved in human resource management can clarify the priorities of competency that the members recognize.
{"title":"Uncovering the Competency of Middle Managers in Different Business Environments: A Knowledge Management Perspective","authors":"Yasuhiro Sasaki, M. Kunigami, T. Terano","doi":"10.1145/2925995.2926033","DOIUrl":"https://doi.org/10.1145/2925995.2926033","url":null,"abstract":"Top management is important in an organization, but the role of middle managers is also important. In this paper, we focus on identifying the characteristics of a middle manager or \"workplace leader.\" The workplace leader needs to be proficient in the business of their place of work, and needs to maintain good relations between their boss and their subordinates. The workplace leader must learn various skills and be capable of using those skills. However, because business environment changes from one place of work to another, the capabilities required of a workplace leader are also varied, and no single list of required capabilities applies to workplace leaders in all situations. Additionally, it is difficult to agree who is suited to serve as a workplace leader. Because the business environment is rapidly changeable and the various conditions of industry type and occupational description are intricately entangled, the establishment of a general method is difficult. Given these difficulties, in this research we do not aim to specify an image of a universal workplace leader applicable in all organizations. Here we aim to probe the requirements for the capabilities of a workplace leader peculiar to each organization. We further aim to develop a method of prioritizing those capability requirements. We propose a method that applies the \"persona technique\" and the \"orthogonal array\" to the extracted work competency and further assigns it a priority. When determining and selecting a workplace leader, without long meaningless discussion, a decision-maker involved in human resource management can clarify the priorities of competency that the members recognize.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124942291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cloud-based applications offers businesses the chance to deliver products that save time, money and makes it simple to access data from anywhere employees need to access it. This paper discusses a kind of Cloud Computing Node (CCN) from logical topology, physical topology and application based on virtualization and network engineering technologies, which can supplies IaaS, PaaS and SaaS services. This kind of CCN can be used as a container for web servers, software development and test environments, Hadoop related experiment environments, back-end management of Internet of things. All services supplied by this kind of CCN can be accessed through one IP Address by Network Address Translation, Domain Name and Remote Access technologies. It is safety and manageability. It's useful to organize the diverse physical and virtual resources in organizations. It's helpful for educational institution and small enterprise building their own private cloud computing environments.
{"title":"One Cloud Computing Node In One IP","authors":"Ran Tao, Guohua Liu, Youqun Shi","doi":"10.1145/2925995.2926029","DOIUrl":"https://doi.org/10.1145/2925995.2926029","url":null,"abstract":"Cloud-based applications offers businesses the chance to deliver products that save time, money and makes it simple to access data from anywhere employees need to access it. This paper discusses a kind of Cloud Computing Node (CCN) from logical topology, physical topology and application based on virtualization and network engineering technologies, which can supplies IaaS, PaaS and SaaS services. This kind of CCN can be used as a container for web servers, software development and test environments, Hadoop related experiment environments, back-end management of Internet of things. All services supplied by this kind of CCN can be accessed through one IP Address by Network Address Translation, Domain Name and Remote Access technologies. It is safety and manageability. It's useful to organize the diverse physical and virtual resources in organizations. It's helpful for educational institution and small enterprise building their own private cloud computing environments.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126634905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Universities play a pivotal role in the social and economic development of their regions. They are a critical 'asset' of the region. Successful mobilisation of the resources of the university can have a disproportionately positive effect on their regional economies and achievement of comprehensive regional strategies. One of the most important ways in which a university can contribute to its region is through the 'translation' of its research and learning into a form that can be taken up by regional actors in the private and public sector. This paper shows how a local university works with a regional company to help to promote international service innovations. Students who are studying for the master programme in Finnish Universities of Applied Sciences have a higher education degree and also have at least three years' work experiences. The master degree programmes focus on real life work development. Typical course assignments are real development tasks for the students' own employer. The paper shows how the processes by which university-generated knowledge are transferred into the local industrial community through the on demand course.
{"title":"On Demand Innovative Course for Regional Development","authors":"Anne-Maria Aho, L. Uden","doi":"10.1145/2925995.2926030","DOIUrl":"https://doi.org/10.1145/2925995.2926030","url":null,"abstract":"Universities play a pivotal role in the social and economic development of their regions. They are a critical 'asset' of the region. Successful mobilisation of the resources of the university can have a disproportionately positive effect on their regional economies and achievement of comprehensive regional strategies. One of the most important ways in which a university can contribute to its region is through the 'translation' of its research and learning into a form that can be taken up by regional actors in the private and public sector. This paper shows how a local university works with a regional company to help to promote international service innovations. Students who are studying for the master programme in Finnish Universities of Applied Sciences have a higher education degree and also have at least three years' work experiences. The master degree programmes focus on real life work development. Typical course assignments are real development tasks for the students' own employer. The paper shows how the processes by which university-generated knowledge are transferred into the local industrial community through the on demand course.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Kaivo‐oja, Petri Virtanen, Harri Jalonen, J. Stenvall, J. Wallin
The health care systems in the western democracies face today problems that relate to the implementation systems in the field of health policies. Knowledge management is important since it is the prerequisite for planning and implementing more intelligent health policies and practices. Updated conceptualization of knowledge management theory is a precondition for successful health care reform in modern welfare states. This paper is conceptual and theoretically oriented paper. The purpose of this article is to define key drivers of new knowledge management theory and use the health care service system as a case example. Nonaka's classical spiral of knowledge (and SECI model with knowledge dimensions) is a foundation for thinking on the future developments of knowledge management. What Nonaka's "dynamic ba" actually includes, is a key question and a big challenge. In this paper, we have outlined a concrete proposal for this critical concept. Key issues of "dynamic ba" will be Big Data management (and associated skills), new crowdsourcing techniques, new forms of customer behaviour, systemic KM integration (service needs, service design and orchestration, service architecture, and service science) and the on-going 3rd wave of digitalization (Internet of Things and robotics).
{"title":"Future prospects for knowledge management in the field of health","authors":"J. Kaivo‐oja, Petri Virtanen, Harri Jalonen, J. Stenvall, J. Wallin","doi":"10.1145/2925995.2926006","DOIUrl":"https://doi.org/10.1145/2925995.2926006","url":null,"abstract":"The health care systems in the western democracies face today problems that relate to the implementation systems in the field of health policies. Knowledge management is important since it is the prerequisite for planning and implementing more intelligent health policies and practices. Updated conceptualization of knowledge management theory is a precondition for successful health care reform in modern welfare states. This paper is conceptual and theoretically oriented paper. The purpose of this article is to define key drivers of new knowledge management theory and use the health care service system as a case example. Nonaka's classical spiral of knowledge (and SECI model with knowledge dimensions) is a foundation for thinking on the future developments of knowledge management. What Nonaka's \"dynamic ba\" actually includes, is a key question and a big challenge. In this paper, we have outlined a concrete proposal for this critical concept. Key issues of \"dynamic ba\" will be Big Data management (and associated skills), new crowdsourcing techniques, new forms of customer behaviour, systemic KM integration (service needs, service design and orchestration, service architecture, and service science) and the on-going 3rd wave of digitalization (Internet of Things and robotics).","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129609792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of information technology, more and more complex data has been produced. It has practical significance to mine valuable information from the complex data. Clustering is an important research in the field of data mining. As a density-based clustering algorithm, DBSCAN is sensitive to the input parameters and difficult to find out all the meaningful clusters for datasets with varied densities. Aiming at this shortcoming, this paper proposed the MDBSCAN algorithm. The algorithm can generate two different density parameters by statistical method, and then the clustering can be more accurate for datasets with varied densities. At first, the algorithm uses adjacency list to store the graph generated by the datasets with one parameter Eps. Adjacency list which has been established in the first step is conducive to generate the varied densities parameters MinPts0 and MinPts1. Then, based on the parameters and adjacency list, the clustering algorithm can be implemented more accurately. Finally, compared with algorithm DBSCAN, the experimental results show that the proposed algorithm has higher accuracy in clustering the datasets with varied densities while they have similar running time.
{"title":"MDBSCAN: Multi-level Density Based Spatial Clustering of Applications with Noise","authors":"Shimei Wang, Yun Liu, Bo Shen","doi":"10.1145/2925995.2926040","DOIUrl":"https://doi.org/10.1145/2925995.2926040","url":null,"abstract":"With the rapid development of information technology, more and more complex data has been produced. It has practical significance to mine valuable information from the complex data. Clustering is an important research in the field of data mining. As a density-based clustering algorithm, DBSCAN is sensitive to the input parameters and difficult to find out all the meaningful clusters for datasets with varied densities. Aiming at this shortcoming, this paper proposed the MDBSCAN algorithm. The algorithm can generate two different density parameters by statistical method, and then the clustering can be more accurate for datasets with varied densities. At first, the algorithm uses adjacency list to store the graph generated by the datasets with one parameter Eps. Adjacency list which has been established in the first step is conducive to generate the varied densities parameters MinPts0 and MinPts1. Then, based on the parameters and adjacency list, the clustering algorithm can be implemented more accurately. Finally, compared with algorithm DBSCAN, the experimental results show that the proposed algorithm has higher accuracy in clustering the datasets with varied densities while they have similar running time.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Supply Chain Management aims to overcome the challenges to integrate the Supply Chain Entities with a shared vision and evolving gradually as a legion in the business ecosystem and supply network. With the integrated inter-company activities, these entities can work as united one to respond quickly to market, to source in a multinational setting, to control available products/services to deliver to the customers, and to maximumally achieve financial benefits as a group. The Supply Chain Operations Reference (SCOR) Model, which has been developed by academics and practitioners and hosted by the APCIS Supply Chain Council is a major framework to serve for Supply Chain integration as a referential guide. Its content includes supply chain management practices, business process elements and enablers in a multi-company context that business owners and supply chain consultants can adjust their supply chain activities and organizations following the referential guideline. Despite SCOR model has many merits, it does not clearly state how to identify the existing problems and how those problems can be resolved in a supply chain project. Based on the speaker's industrial experience, this tutorial will provide a mapping technique for gap identifying, prioritization of problem solutions, and business process modifications in a supply chain setting based on SCOR model. The tutorial can enhance participants' knowledge to facilitate the implementation processes of multinational supply chain projects by identifying the gaps and integrate the channel entities.
{"title":"Integrating Supply Chain by the Supply Chain Operation Referential Model","authors":"W. Wang","doi":"10.1145/2925995.2926053","DOIUrl":"https://doi.org/10.1145/2925995.2926053","url":null,"abstract":"Supply Chain Management aims to overcome the challenges to integrate the Supply Chain Entities with a shared vision and evolving gradually as a legion in the business ecosystem and supply network. With the integrated inter-company activities, these entities can work as united one to respond quickly to market, to source in a multinational setting, to control available products/services to deliver to the customers, and to maximumally achieve financial benefits as a group. The Supply Chain Operations Reference (SCOR) Model, which has been developed by academics and practitioners and hosted by the APCIS Supply Chain Council is a major framework to serve for Supply Chain integration as a referential guide. Its content includes supply chain management practices, business process elements and enablers in a multi-company context that business owners and supply chain consultants can adjust their supply chain activities and organizations following the referential guideline. Despite SCOR model has many merits, it does not clearly state how to identify the existing problems and how those problems can be resolved in a supply chain project. Based on the speaker's industrial experience, this tutorial will provide a mapping technique for gap identifying, prioritization of problem solutions, and business process modifications in a supply chain setting based on SCOR model. The tutorial can enhance participants' knowledge to facilitate the implementation processes of multinational supply chain projects by identifying the gaps and integrate the channel entities.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114071311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Organizational sensemaking describes the reality of an organization and the organizing processes that individuals engage within that organization. Sensemaking provides a useful way to reveal the social psychological processes that contribute to organizational outcomes. It has been used by researchers to explore and explain the behaviour of individuals and groups in complex or unusual situations. Sensemaking can be effectively used as a diagnostic tool for qualitative researchers. In this paper we investigate the process of sensemaking in a small renovation planning project in Finland. This paper describes the use of sensemaking as a tool for documenting and analysing the planning processes which took place during the small renovation project.
{"title":"Sense Making in a Small Renovation Planning Process","authors":"M. Naaranoja, L. Uden","doi":"10.1145/2925995.2926013","DOIUrl":"https://doi.org/10.1145/2925995.2926013","url":null,"abstract":"Organizational sensemaking describes the reality of an organization and the organizing processes that individuals engage within that organization. Sensemaking provides a useful way to reveal the social psychological processes that contribute to organizational outcomes. It has been used by researchers to explore and explain the behaviour of individuals and groups in complex or unusual situations. Sensemaking can be effectively used as a diagnostic tool for qualitative researchers. In this paper we investigate the process of sensemaking in a small renovation planning project in Finland. This paper describes the use of sensemaking as a tool for documenting and analysing the planning processes which took place during the small renovation project.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes an R&D theme selection method. There are various methods for the theme selection such as the patent analysis and the delphi investigation. The patents and the peer reviewed papers are frequently used as material for the theme selection. Generally, there are three phases for the R&D term selection such as the short-term R&D theme selection, the long-term R&D theme selection, and the medium-term R&D theme selection. The medium-term R&D theme selection is often aimed implementation within 5 years such as an exploratory technology theme. Since it relies on the heuristics knowledge with the technology trends, an efficient selection method is required among the business field. In this paper, we propose a method of selecting the R&D theme using combination of link mining and machine learning based on the public information. As a result, we satisfy predicting technology structure of 5 years later.
{"title":"A Study on the Efficient R&D Theme Selection Method with Machine Learning","authors":"Masashi Shibata, Koichi Inoue, Masakazu Takahashi","doi":"10.1145/2925995.2926031","DOIUrl":"https://doi.org/10.1145/2925995.2926031","url":null,"abstract":"This paper proposes an R&D theme selection method. There are various methods for the theme selection such as the patent analysis and the delphi investigation. The patents and the peer reviewed papers are frequently used as material for the theme selection. Generally, there are three phases for the R&D term selection such as the short-term R&D theme selection, the long-term R&D theme selection, and the medium-term R&D theme selection. The medium-term R&D theme selection is often aimed implementation within 5 years such as an exploratory technology theme. Since it relies on the heuristics knowledge with the technology trends, an efficient selection method is required among the business field. In this paper, we propose a method of selecting the R&D theme using combination of link mining and machine learning based on the public information. As a result, we satisfy predicting technology structure of 5 years later.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129361557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
According to the classic knowledge pyramid, we turn the data we collect into information by applying its context. We then interpret the information to derive knowledge from it. Our focus on knowledge management stem from our belief that knowledge is what provides value to our endeavors. Is this paradigm still true with the explosive growth in Big Data? One of the most obvious examples is language translation. By employing machine learning on the massive multilingual text data, Google Translate, without natural language understanding, outperforms traditional natural language processing (NLP) methods when it comes to translation. Medical science is another good example. Since the sequencing of the human genome in 2003, we have dreamed about treating patients more effectively based on their genomic profile. Such a dream remains elusive due to the complexity of system biology. On the other hand, major progress can be and has been made in "targeted medicine" with machine learning on the accumulated patient medical data. In essence, we can uncover ways to help patient treatment directly from the data without knowing how and why it works precisely. Using Big Data to derive value brings another set of management problems, namely the heterogeneous nature of data sources, different taxonomies, the enormous size of data volume, and large-scale data analytic processing requirements. We will discuss all these issues and show some examples at this talk.
{"title":"Why Knowledge when Data Suffices","authors":"Sheng-Chuan Wu","doi":"10.1145/2925995.2926050","DOIUrl":"https://doi.org/10.1145/2925995.2926050","url":null,"abstract":"According to the classic knowledge pyramid, we turn the data we collect into information by applying its context. We then interpret the information to derive knowledge from it. Our focus on knowledge management stem from our belief that knowledge is what provides value to our endeavors. Is this paradigm still true with the explosive growth in Big Data? One of the most obvious examples is language translation. By employing machine learning on the massive multilingual text data, Google Translate, without natural language understanding, outperforms traditional natural language processing (NLP) methods when it comes to translation. Medical science is another good example. Since the sequencing of the human genome in 2003, we have dreamed about treating patients more effectively based on their genomic profile. Such a dream remains elusive due to the complexity of system biology. On the other hand, major progress can be and has been made in \"targeted medicine\" with machine learning on the accumulated patient medical data. In essence, we can uncover ways to help patient treatment directly from the data without knowing how and why it works precisely. Using Big Data to derive value brings another set of management problems, namely the heterogeneous nature of data sources, different taxonomies, the enormous size of data volume, and large-scale data analytic processing requirements. We will discuss all these issues and show some examples at this talk.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129553815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main research content is to study and design a feasible multi-label community discovery algorithm for the overlapping community network in this article. This community discovery algorithm has low time complexity, and can conveniently realize the overlapping community discovery. Through the experiment to verify the feasibility and effect of this algorithm, compared this multi-label community discovery algorithm with part of the existing community discovery algorithm from two aspects in time and the classification results in the data sets, confirm the feasibility of this community discovery algorithm.
{"title":"A multi-label community discovery algorithm based on the community kernel","authors":"Xiao Han, Yun Liu, Zhen-Jiang Zhang, Jian Li, Fei Xiong","doi":"10.1145/2925995.2926011","DOIUrl":"https://doi.org/10.1145/2925995.2926011","url":null,"abstract":"The main research content is to study and design a feasible multi-label community discovery algorithm for the overlapping community network in this article. This community discovery algorithm has low time complexity, and can conveniently realize the overlapping community discovery. Through the experiment to verify the feasibility and effect of this algorithm, compared this multi-label community discovery algorithm with part of the existing community discovery algorithm from two aspects in time and the classification results in the data sets, confirm the feasibility of this community discovery algorithm.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society
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