Although social capital has been researched from many approaches and attempts have been made to measure it online, the literature lacks an operational description that would allow its measurement criteria to be established from a social network perspective. Therefore, the purpose of this paper is to identify in the literature what metrics researchers use to measure social capital on social networking sites from a social network perspective. Thus, this contribution offers a theoretical description of the key elements for measuring social capital in social networking sites, which may be useful in subsequent studies.

Blends between high-performance polymers (HPP) are barely studied, especially those produced by melting processing. In this work, it is proposed a novel methodology to prepare blends between polymers with notable processing temperature differences: poly(ether imide) (PEI) and poly(butylene terephthalate) (PBT). Processing parameters are settled after thermal and rheological evaluation of pure materials, those results suggest these blends need to be produced by steps. It is found a synergistic effect such as lowering PEI processing temperature and reducing PBT hydrolysis at high temperatures. Propose methodology allows to produce blends between HPP in the whole composition range with the same processing conditions.

This paper aims to examine how companies in a cluster communicate their activities on X-platform (formerly Twitter). Three main tasks were considered in this study: 1) an analysis of Tweet (formerly tweet) level messages according to the subject matter posted; 2) an analysis of the messages at the tweet level in terms of the communication design; 3) an analysis of the affective connotation of the language used in each message. We examined a sample of tweets posted for one year by member companies of a Social Impact cluster. The results indicate that the cluster companies use X-platform (formerly Twitter) to communicate their corporate activities with a weekly frequency that ranges from 5 to 182 posts. The analysis of the messages shows that i) there is a predominance of posts referring to corporate products and services as opposed to corporate social responsibility; ii) companies post to create community; and, iii) graphic and audio-visual resources within the content of the posts are predominant. The results have both practical and academic implications, which can be used to develop strategies for companies to take advantage of the social networking site's capabilities or tools and develop plans for building strong relationships with their audience.

This paper explores the communication strategy that can generate social capital when a business cluster publishes and interacts on the X platform (formerly Twitter). The methodology follows a replicable process, in which data were collected directly from the platform and analysed at the level of content according to communication characteristics and at the level of interactions represented by mentions given or received. The interaction network was constructed to extract more information to calculate social capital. Communication variables are strategies that group communication characteristics. A conceptual model was proposed: it was evaluated by the partial least squares structural equation modelling (PLS-SEM) technique, and its predictive capability was studied using PLSpredict. The results indicate explanatory effects among the variables analysed and high predictive power for the dependent variables of the proposed model. This suggests that designing communication strategies and prioritizing specific characteristics, can improve the performance of social capital. This work highlights implications and opportunities for future studies that could provide value in decision-making among marketing academics and practitioners.