Analyzing Human Communities using Fuzzy Graphs

Fuzzy Graphs are used for analyzing and modeling levels of informationin real-time systems (simple or complex networks). A community(network) is formed when human eProfiles (nodes) have links (edges)and interactions with each other. Considering multiple medium ofcommunications like email, chatting and short message service (SMS)in the network, it will make the graph more complex (dense graph orforest). To address this issue in this paper analyzes those humancommunities with the help of fuzzy graphs and highlights the status ofindividuals in a human community. Max-Min Composition (fuzzyrelation) was applied along with statistical analysis on fuzzy graphs ofhuman community. Interaction Index (II) is used to estimate the intensityof communication and Role Index (RI) determine the participation statusof individual in a human community. All this analysis will be used inour research and development of Community Algorithm, which will beused as a tool that will help in identifying, analyzing, manipulating,monitoring, and transforming human communities based on humaneProfiles

OWA-based fuzzy m-ary adjacency relations in Social Network Analysis.

In this paper we propose an approach to Social Network Analysis (SNA) based on fuzzy m-ary adjacency relations. In particular, we show that the dimension of the analysis can naturally be increased and interesting results can be derived. Therefore, fuzzy m-ary adjacency relations can be computed starting from fuzzy binary relations and introducing OWA-based aggregations. The behavioral assumptions derived from the measure and the exam of individual propensity to connect with other suggest that OWA operators can be considered particularly suitable in characterizing such relationships.reciprocal relation; fuzzy preference relation; priority vector; normalization

Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis

Coloured network motifs are small subgraphs that enable to discover and interpret the patterns of interaction within the complex networks. The analysis of three-nodes motifs where the colour of the node reflects its high – white node or low – black node centrality in the social network is presented in the paper. The importance of the vertices is assessed by utilizing two measures: degree prestige and degree centrality. The distribution of motifs in these two cases is compared to mine the interconnection patterns between nodes. The analysis is performed on the social network derived from email communication

Factors influencing technology and knowledge transfer: configurational recipes for Sub-Saharan Africa

General studies on technology and knowledge (T&K) transfer to developing countries have often adopted methods that yield inconsistent results. Traditional quantitative methods, alone, have limitations in their ability to account for complex interaction between variables. This article adopts configurational recipes, using fuzzy set Qualitative Comparative Analysis (fsQCA) to supplement the analysis. This research carefully and systematically selects responses from experts and practitioners in the construction industry in Ghana. The results reveal two configurational recipes for high quality of T&K transfer: effective industry institutions, education effectiveness, and less congestion of firms; and joint presence of high government policy incentives, effective industry institutions, and education effectiveness. This study extends significantly the existing literature regarding T&K transfer in developing countries in general and in Sub-Saharan Africa (SSA) in particular

Factors influencing technology and knowledge transfer: configurational recipes for Sub-Saharan Africa

General studies on technology and knowledge (T&K) transfer to developing countries have often adopted methods that yield inconsistent results. Traditional quantitative methods, alone, have limitations in their ability to account for complex interaction between variables. This article adopts configurational recipes, using fuzzy set Qualitative Comparative Analysis (fsQCA) to supplement the analysis. This research carefully and systematically selects responses from experts and practitioners in the construction industry in Ghana. The results reveal two configurational recipes for high quality of T&K transfer: effective industry institutions, education effectiveness, and less congestion of firms; and joint presence of high government policy incentives, effective industry institutions, and education effectiveness. This study extends significantly the existing literature regarding T&K transfer in developing countries in general and in Sub-Saharan Africa (SSA) in particular