Suchergebnisse

Bibliometric analyses of the network clustering literature / Vladimir Batagelj, Anuška Ferligoj, and Patrick Doreian -- Clustering approaches to networks / Vladimir Batagelj -- Different approaches to community detection / Martin Rosvall, JeanCharles Delvenne, Michael T. Schaub, and Renaud Lambiotte -- Label propagation for clustering / Lovro Šubelj -- Blockmodeling of valued networks / Carl Nordlund and Aleš Žiberna -- Treating missing network data before partitioning / Anja Žnidar šič, Patrick Doreian, and Anuška Ferligoj -- Partitioning signed networks / Vincent Traag, Patrick Doreian, and Andrej Mrvar -- Partitioning multimode networks / Martin G Everett, and Stephen P Borgatti -- Partitioning linked networks / Aleš Žiberna -- Bayesian stochastic blockmodeling / Tiago P. Peixoto -- Structured networks and coarsegrained descriptions: a dynamical perspective / Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, and Mauricio Barahona -- Scientific coauthorship networks / Marjan Cugmas, Anuška Ferligoj, and Luka Kronegger -- Conclusions and directions for future work / Patrick Doreian, Anuška Ferligoj, and Vladimir Batagelj.

"This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for analyzing many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks."--Jacket

AbstractSocial network data are prone to errors regardless their source. This paper focuses on missing data due to actor non-response in valued networks. If actors refuse to provide information, all values for outgoing ties are missing. Partially observed incoming ties to non-respondents and all other patterns for ties between members of the network can be used to impute missing outgoing ties. Many centrality measures are used to determine the most prominent actors inside the network. Using treatments for actor non-response enables us to estimate better the centrality scores of all actors regarding their popularity or prominence. Simulations using initial known blockmodel structures based on three most frequently occurring macro-network structures: cohesive subgroups, core-periphery models, and hierarchical structures were used to evaluate the relative merits of the treatments for non-response. The results indicate that the amount of non-respondents, the type of underlying macro-structure, and the employed treatment have an impact on centrality scores. Regardless of the underlying network structure, the median of the 3-nearest neighbors based on incoming ties performs the best. The adequacy (or not) of the other non-response treatments is contingent on the network macro-structure.

Slovenija sodi med hitro starajoče se države, kar zahteva prilagoditve družbe na različnih področjih. Eno izmed njih je skrb za starejše, ki zaradi težav, povezanih s staranjem, potrebujejo vrsto storitev in pomoči. Del potrebne pomoči lahko pokrijejo formalne storitve (kot je osebna pomoč na domu), zelo pomembni pa so tudi neformalni viri socialne opore (sorodniki, prijatelji, sosedi). Raziskave kažejo, da ima del starejših razmeroma zadostno socialno oporo, obstaja pa tudi nezanemarljiv delež starejših s šibko socialno oporo ali brez virov neformalne socialne opore. Ti so lahko še posebej ranljivi v okoliščinah, kot je pandemija koronavirusa SARS-CoV-2. Tako članek naslavlja značilnosti omrežij socialne opore starejših, ki živijo doma, v času popolnega zaprtja javnega življenja v prvem valu pandemije, in sicer na podlagi podatkov, zbranih v okviru spletnega panela JazVem. Gre za verjetnostni vzorec 605 oseb, starejših od 64 let. V raziskavi so bile merjene čustvena in instrumentalna opora, opora v smislu neformalnega druženja, pa tudi elementi formalne opore in različne značilnosti omrežij. V vzorcu je bila dobra desetina starostnikov z omejenimi viri socialne opore. To so starostniki, ki niso navedli nobenega vira socialne opore, in starostniki s samo oddaljenimi viri socialne opore. Na število in dostopnost virov socialne opore v času pandemije vplivata spol in velikost gospodinjstva starostnika.

Within the framework of McClelland's motivational theory, a model of the motivational structure of the migrant personality is proposed. It is argued that those who choose to leave their country of origin have higher achievement and power motivation and lower affiliation motivation than those who want to stay. This model was tested with 1050 college students in Albania, the Czech Republic, and Slovenia. Data were collected between 1993 and 1996. MANOVA analysis confirmed our predictions for the achievement and power motives. Students who wanted to emigrate had higher achievement and power motivation scores than those who wanted to stay. This model was also applied to internal migrants. It was tested with 789 United States college students. Those who wanted to leave the region of their university after graduation scored significantly higher on achievement and power motivation than those who wanted to stay. It is argued that this pattern is specific for countries or regions of economic stagnation or decline, while it may be reversed for countries or regions of economic growth. Predictions for the affiliation motivation were only partly supported. Our findings suggest that psychological factors are important predictors of (e)migration.