1,720,962 research outputs found
Detecting Network Leaders in Enterprises
No full textThis paper describes an interdisciplinary study
aimed at analyzing leadership in less formal collaboration environments,
such as enterprise social networks (ESNs). To conduct
our research, we defined a measure of network leadership which
draws on organization theory and on a computational model
based on multiplex networks. This model, along with a social
network analysis toolkit developed in the context of the present
study, enabled the systematic empirical analysis of a large ESN,
as a function of gender, time, roles, and discussed topics
A Gendered Analysis of Leadership in Enterprise Social Networks
No full textThe present study is concerned with the analysis of women’s leadership in a less formal work environment, such as an enterprise social network. Our aim is to answer the following research questions: RQ1: Are Enterprise Social Networks a conductive environment to support the emergence of women informal leadership? RQ2: If answer to RQ1 is positive, do women actually exploit this opportunity
A Gendered Analysis of Leadership in Enterprise Social Networks
No full textThe present study is concerned with the analysis of women’s leadership in a less formal work environment, such as an enterprise social network. Our aim is to answer the following research questions: RQ1: Are Enterprise Social Networks a conductive environment to support the emergence of women informal leadership? RQ2: If answer to RQ1 is positive, do women actually exploit this opportunity
Women leadership in enterprise social networks A SNA toolkit to foster the emergence of informal leaders in organizations
No full textThis paper describes a Social Network Analysis toolkit to monitor an Enterprise Social Network and help analyzing informal leadership as a function of social ties and topic discussions. The toolkit has been developed in the context of a regional project, Fiordaliso, funded by Regione Lazio (a region of central Italy) and leaded by Reply, an international network of specialized
companies in the field of digital services
Detecting Network Leaders in Enterprises
No full textThis paper describes an interdisciplinary study aimed at analyzing leadership in less formal collaboration environments,
such as enterprise social networks (ESNs). To conduct our research, we defined a measure of network leadership which
draws on organization theory and on a computational model based on multiplex networks. This model, along with a social
network analysis toolkit developed in the context of the present study, enabled the systematic empirical analysis of a large ESN,
as a function of gender, time, roles, and discussed topics
Semantic enabled recommender system for micro-blog users
No full textQuite a number of recent works have concentrated on the task of recommending to Twitter users whom they should follow, among which, the WTF (Who To Follow) service provided by Twitter. Recommenders are based either on the user's network structure, or on some notion of topical similarity with other users, or on both. We present a method for analysis of Twitter users supported by a hierarchical representation of their interests, which we call a Twixonomy. The use of Twixonomy casts both problems of user classification and recommendation as one of itemset mining, where items are either users' authoritative friends or semantic categories associated to friends. In addition to evaluating our profiler and recommender on several populations, we also show that semantic categories allow for very fine-grained population studies, and make it possible to recommend not only whom to follow, but also topics of interest, users interested in the same topic, and more. © 2016 IEEE
Gender, rank, and social networks on an enterprise social media platform
No full textIn this paper, we harness server-side data—540,000 messages generated by 2085 users on TamTamy, an
Enterprise Social Media (ESM) platform—to examine how gender and rank shaped “homophily” (the tendency to
connect with similar others) and centrality in an ESM network. Drawing on the logic of “distinctiveness theory,”
which argues that the numeric rarity of a category in a given setting promotes the use of that category as a basis
for connecting with others, we hypothesized and found: (a) the tendency to connect with same-gender others
was stronger among women than among men; (b) the tendency to connect with same-rank others was stronger
among high-ranking employees than among low-ranking employees; (c) for high-ranking men, rank was more
important than gender as a basis for connecting with others; and (d) for low-ranking women, gender was more
important than rank as a basis for connecting with others. We also found that whereas higher ranking individuals
were more likely to be in central (bridging) positions in the overall network, gender was unrelated to network
centrality. Our study suggests that the affordances of ESM for open and distributed communications notwithstanding,
the social networks that emerge on ESM platforms may reinforce social stratification on some dimensions
while diminishing it on others
An enterprise social analytics dashboard to support competence valorization and diversity management
Full text linkThis paper describes an Enterprise Social Analytics Dashboard (ESAD) to support human capital management, competence valorization, diversity management, and early detection of potential problems within large, networked organizations. The system can be used by managers for career promotion, team building, and diversity management, as well as by company’s social analysts, to monitor social behaviors and information flow in the workplace. Toward this end, we defined a measure of informal leadership which draws on organization theory and on a computational model based on multiplex networks. This model, along with a social network analysis toolkit developed in the context of the present study, enabled the systematic empirical analysis of social behaviors in a three-year dataset of message threads exchanged within a large multinational enterprise, as a function of gender, time, roles, and discussed topics. The results of our empirical analysis demonstrate the power of social analytics in organizations as a tool for human capital management, competence valorization, and early detection of potential problems. Our study clearly shows that Enterprise Social Networks are a favorable environment to highlight women’s leadership qualities and intermediary abilities. The ESAD offers innovative features, such as a sociologically motivated leadership model based on multiplex networks, text mining, and text classification techniques, to extract relevant discussion topic
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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