Computational and Mathematical Organization Theory
Papers 492
1 page of 50 pages (492 results)
The notions of betweenness centrality (BC) and group betweenness centrality (GBC) are widely used in social network analyses. We introduce variants of them; namely, the k-step BC and k-step GBC. The k-step GBC of a group of vertices in a network is a measure of the likelihood that at least one group member will get the information communicated between pairs of vertices through shortest paths within the first k steps of the start of the communication. The k-step GBC of a single vertex is the k-st...
#1Joshua Uyheng (CMU: Carnegie Mellon University)H-Index: 1
#2Thomas Magelinski (CMU: Carnegie Mellon University)H-Index: 1
Last.Kathleen M. Carley (CMU: Carnegie Mellon University)H-Index: 64
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Social cyber-security is an emergent field defining a multidisciplinary and multimethodological approach to studying and preserving the free and open exchange of information online. This work contributes to burgeoning scholarship in this field by advocating the use of interoperable pipelines of computational tools. We demonstrate the utility of such a pipeline in a case study of Twitter information operations during the NATO Trident Juncture Exercises in 2018. By integratively utilizing tools fr...
#1Fozia Mehboob (National University of Sciences and Technology)
#2Muhammad Abbas (National University of Sciences and Technology)H-Index: 6
Last.Abdul Rauf (Islamic University)H-Index: 6
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Traffic rules violations and accidents on road are major issues now-a-days. Identification of vehicles violating traffic rules and manual monitoring of vehicles is difficult, due to traffic congestion on freeways. A novel mathematical model is proposed to generalize detection of a number of traffic violations on highways. The model, using image processing techniques translates lanes on the road as equation of lines. A tracking algorithm generates a vehicle trace which is modelled as equations. A...
#1Muhammad Ali Butt (CUI: COMSATS Institute of Information Technology)
#2Faisal Nawaz (CUI: COMSATS Institute of Information Technology)H-Index: 3
Last.Muhammad Shujahat (CUI: COMSATS Institute of Information Technology)H-Index: 3
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The literature on the knowledge management relatively ignores an important concept, the individual knowledge management engagement-the degree to which a knowledge worker is involved with the knowledge management-related activities. This concept is imperative for nurturing the productivity of knowledge workers, knowledge management architecture effectiveness, and innovation. Therefore, this study proposes the mediating role of knowledge-worker productivity between individual knowledge management ...
#1Neelam Gohar (Shaheed Benazir Bhutto Women University)H-Index: 1
#2Gul E. Saman (Shaheed Benazir Bhutto Women University)H-Index: 1
Last.Fawad Qayum (University of Malakand)H-Index: 1
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A significant research topic in the area of computational social choice is the complication of different kinds of dishonest behaviour like manipulation, dominance and bribery. Whereas most of the work on this issue assumes that the opposite party has incomplete knowledge regarding every agent, they did not know the true preferences of other voters. We have analysed the dynamics of voting rules with the help of some manipulative and non-manipulative moves. Voters have incomplete information. The ...
#1Muhammad Zubair Asghar (Gomal University)H-Index: 10
#2Fazal Rahman (Gomal University)H-Index: 1
Last.Shakeel Ahmad (KAU: King Abdulaziz University)H-Index: 6
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The Stock market trend prediction is an efficient medium for investors, public companies and government to invest money by taking into account the profit and risk. The existing studies on the development of stock-based prediction systems rely on data acquired from social media sources (sentiment-based) and secondary data sources (financial-sites). However, the data acquired from such sources is usually sparse in nature. Moreover, the selection of predictor variables is also poor, which ultimatel...
4 CitationsSource
#1Salma Noor (Shaheed Benazir Bhutto Women University)H-Index: 2
#2Lubna Shah (Shaheed Benazir Bhutto Women University)H-Index: 1
Last.Fawad Qayum (University of Malakand)H-Index: 1
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The process of diagnosis, intervention, conservation, restoration and maintenance of built cultural heritage requires complete and accurate knowledge about tangible as well as intangible aspects of their past and present. Comprehensive and precise knowledge about built cultural heritage structures, their functionality, location, environment and any sudden disturbance needs to be digitized for long lasting preservation of the resource. Discrepancy or scarcity of information can lead to errors and...
1 CitationsSource
#1Saqib Alam (DUT: Dalian University of Technology)H-Index: 1
#2Nianmin Yao (DUT: Dalian University of Technology)H-Index: 1
Big data and its related technologies have become active areas of research recently. There is a huge amount of data generated every minute and second that includes unstructured data which is the topic of interest for researchers now a days. A lot of research work is currently going on in the areas of text analytics and text preprocessing. In this paper, we have studied the impact of different preprocessing steps on the accuracy of three machine learning algorithms for sentiment analysis. We appl...
1 CitationsSource
#1David A. Broniatowski (GW: George Washington University)H-Index: 13
#2Valerie F. Reyna (Cornell University)H-Index: 63
We propose, and test, a model of online media platform users’ decisions to act on, and share, received information. Specifically, we focus on how mental representations of message content drive its spread. Our model is based on fuzzy-trace theory (FTT), a leading theory of decision under risk. Per FTT, online content is mentally represented in two ways: verbatim (objective, but decontextualized, facts), and gist (subjective, but meaningful, interpretation). Although encoded in parallel, gist ten...
Top fields of study
Artificial intelligence
Computer science
Management science
Knowledge management
Social network