Interorganizational Networks & Organizational Behavior eJournal最新文献

Unsupervised inference of statistically significant synchronization and opposition links from bipartite systems 双部系统统计显著同步和对立环节的无监督推理

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2021-06-22 DOI: 10.2139/ssrn.3871965

K. Baltakys

{"title":"Unsupervised inference of statistically significant synchronization and opposition links from bipartite systems","authors":"K. Baltakys","doi":"10.2139/ssrn.3871965","DOIUrl":"https://doi.org/10.2139/ssrn.3871965","url":null,"abstract":"Many of the real-world data sets can be portrayed as bipartite networks. Such data sets are particularly abundant where human behavior is being recorded. Because typically direct observations of the relationships between different agents are lacking, they need to be inferred by converting bipartite networks to their mono-partite counterparts. While most bipartite networks contain only one type of a link, e.g., an agent attended an event, data sets exist where the links can represent different actions, say when voting, an agent supported, opposed, or abstained a proposition. This paper proposes a new unsupervised statistical method based on hypergeometric-binomial mixture distribution to identify the most significant synchronization and opposition ties between agents when they are recorded to take different actions. The method takes into account the heterogeneity of individual nodes in terms of how active they are and in terms of their preferred actions. The resulting binary or signed graphs can then be used to investigate the structure of co-behaviors between agents. We demonstrate the link validation using empirical investor trading and parliament member voting data. We find structurally balanced signed networks.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125328237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Information Networks in Stock Markets 股票市场信息网络的识别

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2020-12-22 DOI: 10.2139/ssrn.3750035

M. Baltakienė, J. Kanniainen, K. Baltakys

{"title":"Identification of Information Networks in Stock Markets","authors":"M. Baltakienė, J. Kanniainen, K. Baltakys","doi":"10.2139/ssrn.3750035","DOIUrl":"https://doi.org/10.2139/ssrn.3750035","url":null,"abstract":"Existing studies have addressed the significance of social influence and private communication in decision making in stock markets. However, the estimation of investor information networks remains an important and challenging task because the existing network inference methodologies lack the ability to explicitly account for the impact of public information on investor trading decisions. We address this gap by proposing a new framework to estimate private information channels in stock markets. In our approach, the impact of public information on investors' trading events is filtered out from investors' transactions. This allows us to reveal their co-behavior driven by the transfer of private information. Our results show that taking public information into account when inferring investor networks significantly changes their topology and strengthens the relationship between investor's network centrality and returns. Therefore, we believe that our approach leads to a more precise representation of the information network. Furthermore, we find that the association between centrality and returns becomes stronger and both statistically and economically more significant. Moreover, investigating the properties of information networks, we observe that the physical distances between connected investors begin to shrink when network links are validated using harsh thresholds.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124373152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Patent Citation Network Analysis 专利引文网络分析

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2020-09-22 DOI: 10.2139/ssrn.3697433

L. Hao

引用次数: 0

Social Media in the Middle East: 2019 in Review 中东社交媒体:2019年回顾

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2020-01-11 DOI: 10.2139/ssrn.3517916

Damian Radcliffe, Hadil Abuhmaid

{"title":"Social Media in the Middle East: 2019 in Review","authors":"Damian Radcliffe, Hadil Abuhmaid","doi":"10.2139/ssrn.3517916","DOIUrl":"https://doi.org/10.2139/ssrn.3517916","url":null,"abstract":"This report is the eighth in an annual series of publications, dating back to 2012, designed to share the latest stories, trends and research in social media usage from across the Middle East and North Africa (MENA). Using a wide variety of academic, industry and media sources, this White Paper identifies important insights from social media’s development over the previous year. \u0000 \u0000Of particular note in 2019 is the continued, growing, importance of social media in the lives of Arab Youth, outside of Saudi Arabia and Turkey the declining usage of Twitter (once the poster child social network for the Arab Spring,) as well as greater scrutiny of social media usage by platform owners and governments alike. \u0000 \u0000Last year’s report highlighted the increasing weaponization of social networks, a trend which continued in 2019. Facebook, Twitter and Telegram each closed hundreds of accounts due to inappropriate use by state sponsored actors and terrorist groups. Social networks were also the target of governments across MENA, in the midst of protests in many countries throughout the region. \u0000 \u0000Meanwhile, the importance of social video and visually-led social networks, continued to grow from strength to strength. Snapchat introduced new advertising formats to the region and other exclusive functionality, Google highlighted the importance of YouTube in supporting parents and parenting, and in major markets such as Egypt, Saudi Arabia and the UAE, Twitter has emerged as a leading platform for online video consumption. \u0000 \u0000The year ahead is likely to result in a continuation of many of the trends outlined in this report, as social media becomes increasingly engrained across the lives of businesses, governments and residents across the MENA region.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124413949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Online Communities and Social Network Structure 在线社区和社会网络结构

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2019-07-16 DOI: 10.2139/ssrn.3420525

Y. Wei, Wensi Zhang, Sha Yang, Xi Chen

{"title":"Online Communities and Social Network Structure","authors":"Y. Wei, Wensi Zhang, Sha Yang, Xi Chen","doi":"10.2139/ssrn.3420525","DOIUrl":"https://doi.org/10.2139/ssrn.3420525","url":null,"abstract":"This paper aims to understand the effects of online communities on the network structure and their marketing implications. To account for the fact that communities are not formed exogenously, we model and estimate how they co-evolve with the friendship network. We control for unobserved heterogeneity and homophily by modeling individuals’ latent positions and similarities. Using data from a worldwide Massively Multiplayer Online (MMO) Game, we find that individuals’ friendship formation decision and community membership decision reinforce each other. Moreover, model simulation reveals that, under some circumstances, online communities may promote not only within-community ties but also cross-community ties. Here, one important moderating factor is the community stickiness, which is captured by the positive effects of an individual’s number of friends in a community on her probability of staying in that community (instead of switching to a different community). As shown by our simulated diffusion exercises, only a moderately sticky community system promotes cross-community ties and consequently improves information reach. This insight helps social platforms manage online communities more effectively to improve the marketing value of social networks.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124121098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Social Preferences on Networks 网络上的社会偏好

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2019-07-10 DOI: 10.2139/ssrn.3229310

S. Rezaei, S. Rosenkranz, U. Weitzel, B. Westbrock

引用次数: 0

The Smart Grid Discourse – A Global Discourse Field Analysis 智能电网话语——一个全球话语场分析

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2017-08-17 DOI: 10.2139/ssrn.3020917

K. Kubeczko, André Uhl

引用次数: 0

Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election 2017年法国总统大选前的虚假信息和社交机器人操作

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2017-06-30 DOI: 10.5210/fm.v22i8.8005

Emilio Ferrara

{"title":"Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election","authors":"Emilio Ferrara","doi":"10.5210/fm.v22i8.8005","DOIUrl":"https://doi.org/10.5210/fm.v22i8.8005","url":null,"abstract":"Recent accounts from researchers, journalists, as well as federal investigators, reached a unanimous conclusion: social media are systematically exploited to manipulate and alter public opinion. Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users. In this study, we describe one such operation that occurred in the run up to the 2017 French presidential election. We collected a massive Twitter dataset of nearly 17 million posts, posted between 27 April and 7 May 2017 (Election Day). We then set to study the MacronLeaks disinformation campaign: By leveraging a mix of machine learning and cognitive behavioral modeling techniques, we separated humans from bots, and then studied the activities of the two groups independently, as well as their interplay. We provide a characterization of both the bots and the users who engaged with them, and oppose it to those users who didn’t. Prior interests of disinformation adopters pinpoint to the reasons of scarce success of this campaign: the users who engaged with MacronLeaks are mostly foreigners with pre-existing interest in alt-right topics and alternative news media, rather than French users with diverse political views. Concluding, anomalous account usage patterns suggest the possible existence of a black market for reusable political disinformation bots.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 410

Join, Stay, Leave: A Study of Direct-Selling Distributors 加入、留下、离开:直销直销商研究

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2016-09-20 DOI: 10.2139/ssrn.2841403

A. Coughlan, M. Krafft, Julian F. Allendorf

{"title":"Join, Stay, Leave: A Study of Direct-Selling Distributors","authors":"A. Coughlan, M. Krafft, Julian F. Allendorf","doi":"10.2139/ssrn.2841403","DOIUrl":"https://doi.org/10.2139/ssrn.2841403","url":null,"abstract":"This paper uses a unique dataset of over 13,000 individual direct-selling distributors from dozens of firms, at a wide variety of stages in their direct selling experiences, to investigate the motivations to join, stay, and leave a direct selling distributorship. We build on the literatures in sales force management and compensation, economics, organizational behavior, psychology and sociology to develop hypotheses both about each of these key decisions a distributor makes, as well as the interlinkages among the join, stay, and leave junctures in the distributor’s life cycle. Our analysis shows that many insights from these underlying academic research paradigms are robust to the direct selling situation, while others are not supported – suggesting that direct selling has many parallels, but is not a replica of, other non-direct-selling sales channels.We find that individuals join as direct-selling distributors for a variety of reasons, many of which combine multiple aspects of direct selling that a cluster of distributors finds attractive. Only a small proportion of joiners sign up purely for personal consumption of the direct-selling firm’s products – but a great majority do join for this and other reasons as well. We further find that stated reasons for joining are frequently replaced by other motivations for staying as a direct selling distributor, consistent with the idea that distributors join without always knowing what direct selling will offer to them; they learn in the process of doing it. We also link certain traits as well as certain joiner and stayer types to the likelihood that a distributor will leave the firm; but interestingly, we do not find that a distributor’s reasons for joining have a relationship with his/her likelihood of leaving. Thus, the join → stay → leave life cycle path does show linkages from each stage to the next, but its failure to directly link join reasons to likelihood to leave is consistent with the learning that naturally occurs as distributors develop.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132886979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Tacit Knowledge Sharing and Personal Branding. How to Derive Innovation from Project Teams? 隐性知识共享与个人品牌。如何从项目团队中获得创新?

Interorganizational Networks & Organizational Behavior eJournal Pub Date : 2016-09-07 DOI: 10.13140/RG.2.2.25473.86885

W. Kucharska

{"title":"Tacit Knowledge Sharing and Personal Branding. How to Derive Innovation from Project Teams?","authors":"W. Kucharska","doi":"10.13140/RG.2.2.25473.86885","DOIUrl":"https://doi.org/10.13140/RG.2.2.25473.86885","url":null,"abstract":"Knowledge sharing and team cooperation encourage innovative solutions creation and consequently positively affect project performance. Bearing this fact in mind, the authors studied how tacit knowledge sharing affects the process of building a personal brand and project performance. For this purpose, the authors conducted a study among Polish professionals with different roles and experience in managing projects in various industries. The data collected during the study has been analysed using the equal structural modelling method. The results indicate that tacit knowledge sharing is used when developing a personal brand of knowledge workers. The intermediary role of personal branding in the relationship of tacit knowledge sharing and project performance points to a new context of tacit knowledge sharing as a key factor of knowledge management in learning organisations, which can be used for designing incentive schemes. A personal brand as a strong motivator for tacit knowledge sharing is a gain based not on financial benefits but on creating a perspective of future income whose foundation is a good reputation of one's strengthened brand. Tacit knowledge being a source of innovation stimulated by tailored incentive schemes enhances growth of successful innovation.","PeriodicalId":154248,"journal":{"name":"Interorganizational Networks & Organizational Behavior eJournal","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122627028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13