Effects of employee identity salience on content sharing in social networks

PurposeThis research explores whether, when and why employee identity salience influences content sharing of employee's friends in social networks and further investigates two moderating conditions of network overlap and deal content.Design/methodology/approach In Study 1, the authors analyzed a field data related to 20,715 users on the largest social network platform in China. In Studies 2 and 3, the authors verified the findings of Study 1 and tested the underlying mechanism with two experiments.Findings The results showed that employee identity salience could increase sharing likelihood of content receiver, especially when the employee had higher network overlap with receiver. However, when the content contained deal-related information, the receiver was less likely to share this content from employee with salient identity. The authors also found that perceived information credibility acted as a mediator in above relationships.Originality/value This research is the first to test the effects of employee identity salience on content sharing by considering both content type and network characteristics. The authors also provide insights into the mediating role of information credibility, which enriches the content sharing and social network literature.

Smart Routing Protocol Algorithm Using Fuzzy Artificial Neural Network OSPF

The OSPF cost is proportionally indicated the transmitting packet overhead through a certain interface and inversely proportional to the interface bandwidth. Thus, this cost may minimized by direct packet transmitting to the other side via various probable paths simultaneously. Logically, the minimum weight path is the optimum path. This paper propose a novel Fuzzy Artificial Neural Network to create Smart Routing Protocol Algorithm. Consequently, the Fuzzy Artificial Neural Network Overlap has been reduced from (0.883 ms) to (0.602 ms) at fuzzy membership 1.5 to 4.5 respectively. This indicated the transmission time is two-fold faster than the standard overlapping time (1.3 ms).

Bank Networks and Acquisitions

Does the predeal geographic overlap of the branches of two banks affect the probability that they merge, postannouncement stock returns, and postmerger performance? We compile information on U.S. bank acquisitions from 1984 through 2016, construct several measures of network overlap, and design and implement a new identification strategy. We find that greater predeal network overlap (1) increases the likelihood that two banks merge; (2) boosts the cumulative abnormal returns of the acquirer, target, and combined banks; and (3) reduces employment, boosts revenues, reduces the number of branches, improves loan quality, and expedites executive turnover. This paper was accepted by Tomasz Piskorski, finance.

Redefining the H-NS protein family: a diversity of specialized core and accessory forms exhibit hierarchical transcriptional network integration

H-NS is a nucleoid structuring protein and global repressor of virulence and horizontally-acquired genes in bacteria. H-NS can interact with itself or with homologous proteins, but protein family diversity and regulatory network overlap remain poorly defined. Here, we present a comprehensive phylogenetic analysis that revealed deep-branching clades, dispelling the presumption that H-NS is the progenitor of varied molecular backups. Each clade is composed exclusively of either chromosome-encoded or plasmid-encoded proteins. On chromosomes, stpA and newly discovered hlpP are core genes in specific genera, whereas hfp and newly discovered hlpC are sporadically distributed. Six clades of H-NS plasmid proteins (Hpp) exhibit ancient and dedicated associations with plasmids, including three clades with fidelity for plasmid incompatibility groups H, F or X. A proliferation of H-NS homologs in Erwiniaceae includes the first observation of potentially co-dependent H-NS forms. Conversely, the observed diversification of oligomerization domains may facilitate stable co-existence of divergent homologs in a genome. Transcriptomic and proteomic analysis in Salmonella revealed regulatory crosstalk and hierarchical control of H-NS homologs. We also discovered that H-NS is both a repressor and activator of Salmonella Pathogenicity Island 1 gene expression, and both regulatory modes are restored by Sfh (HppH) in the absence of H-NS.

Cross-classified Multilevel Models for Personal Networks: Detecting and Accounting for Overlapping Actors

Multilevel models are increasingly used in sociology and other social sciences to analyze variation of tie outcomes in egocentrically sampled network data, particularly in studies of social support. Existing research assumes that the personal networks in the data do not overlap (i.e., they do not have actors in common), which makes standard hierarchical models suitable for analysis. This assumption is unrealistic in certain sampling designs, including the case of egos sampled from higher level groups or via link-tracing methods. We describe different types of ego-network overlap and propose a method to detect overlapping actors and analyze the resulting data with cross-classified multilevel models. The method is demonstrated with an application to research on personal networks and social support among Hispanic immigrants in rural U.S. destinations. Overlap detection and modeling result in better model fit, more correct partition of tie variation among different sources, and the ability to test new substantive hypotheses.

Segregated Worlds? The Level of Overlap Between Dutch Offenders’ Criminal and Core Discussion Networks

We examine the level of overlap between offenders’ criminal networks (i.e., those with whom they discuss criminal activities and exchange criminal knowledge and skills) and offenders’ core discussion networks (i.e., those with whom they discuss important personal matters). We formulate four hypotheses based on social capital and focus theory. Empirical data from 1,904 Dutch pretrial detainees reveal that one third of the criminal network members also function as core discussion partners and that half of the criminal network members know at least one core discussion partner. This implies that offenders do not completely separate their criminal network from their core discussion network. Multilevel analyses show that this network overlap is larger if criminal network members live close to the offender and/or if they share multiple social settings. Our findings have implications for policies regarding the prevention of recidivism and the reintegration of offenders into society.